DYSLEXIA –
A COMPREHENSIVE AND
INTERNATIONAL
APPROACH
Edited by Taeko N. Wydell and
Liory Fern-Pollak
Dyslexia – A Comprehensive and International Approach
Edited by Taeko N. Wydell and Liory Fern-Pollak
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Contents
Preface IX
Chapter 1
Cross-Cultural/Linguistic Differences
in the Prevalence of Developmental Dyslexia
and the Hypothesis of Granularity and Transparency
Taeko N. Wydell
Chapter 2
Typical and Dyslexic Development
in Learning to Read Chinese 15
Hua Shu and Hong Li
Chapter 3
The Role of Phonological Processing
in Dyslexia in the Spanish Language
Juan E. Jiménez
Chapter 4
1
29
Phonological Restriction Knowledge
in Dyslexia: Universal or Language-Specific?
Norbert Maïonchi-Pino
47
Chapter 5
Antisaccades in Dyslexic Children: Evidence
for Immaturity of Oculomotor Cortical Structures 61
Maria Pia Bucci, Naziha Nassibi, Christophe-Loic Gerard,
Emmanuel Bui-Quoc and Magali Seassau
Chapter 6
Sequential Versus Simultaneous
Processing Deficits in Developmental Dyslexia
Marie Lallier and Sylviane Valdois
Chapter 7
Chapter 8
73
The Contribution of Handwriting
and Spelling Remediation to Overcoming Dyslexia
Diane Montgomery
Depression in Dyslexic Children Attending
Specialized Schools: A Case of Switzerland
Tamara Leonova
147
109
VI
Contents
Chapter 9
Dyslexia and Self-Esteem: Stories of Resilience
Jonathan Glazzard
163
Preface
This book covers all aspects of developmental dyslexia from the underlying aetiology
to currently available, routinely used diagnostic tests and intervention strategies, and
also addresses important social, cultural and quality of life issues of those with
developmental dyslexia.
The ability to read and write is a remarkable trait of humanity. This trait enables us to
convey spoken language through the conversion of symbols composed of lines,
dashes, circles and dots, into words, phrases and sentences. This ability seems to have
emerged around 3,500 years ago; in terms of evolution, this is a relatively recent
phenomenon in human history, which dates back some 200,000 years! Unlike spoken
language, learning to read and write does not happen through mere exposure during
infancy, but requires systematic instruction and applied study, which normally begins
in early childhood. While most children are able to reach a skilled level of reading and
writing within 5-6 years, some struggle to acquire the skill and may be subsequently
diagnosed as having Developmental Dyslexia. This term stands in contrast to
Acquired Dyslexia, which is associated with brain damage in individuals who prior to
the incident which caused the condition had adequate reading skills.
Developmental Dyslexia is characterised primarily by reading difficulty in the absence
of any profound sensory, neurological and intellectual disorders or socio-cultural
factors. However, it may co-occur with other developmental disorders such as
attention deficit hyperactivity disorder (ADHD), dyscalculia, or dyspraxia, and may
therefore manifest as delayed language production, spelling difficulties, and/or
difficulties associating sounds and meanings with written words. The precise
incidence of Developmental Dyslexia is not known, although it is thought that up to
12% of school children in some countries may face reading difficulties, with higher
incidence in boys than girls.
Although now widely regarded as a neurobiological disorder with genetic origin,
Developmental Dyslexia may be caused by deficits in auditory processing or visual
processing skills, or visual attentional skills as well as a deficit in visual or verbal
short-term memory, which can affect its manifestation in isolation or in conjunction.
Moreover, different languages exert different cognitive demands on the process of
X
Preface
reading. For example, reading in Spanish or Italian, where a close relationship exists
between letters and their corresponding sounds, words can be pronounced correctly
by assigning to each written consonant the sound of the vowel that follows. In
contrast, reading in English often requires prior knowledge of the correct
pronunciation, since the phonology of a large proportion of words is not consistent
with their spelling (e.g., pint vs. hint, lint, mint, tint; bread, head vs. bead; mead vs. steak;
bough vs. cough vs. dough vs. through vs. thorough; colonel; gauge; yacht). In logographic
writing-systems such as Chinese and Japanese Kanji, phonemes do not form part of
written text since these languages use intricate characters to directly convey
meaning. Reading in these languages therefore requires rote memorization and a
complete understanding of the combination of strokes included in each character.
Dyslexia may therefore manifest itself differently for speakers of different
languages.
Diagnosis of Developmental Dyslexia is a complex process, which requires
intellectual, educational, speech and language, medical, and psychological
evaluations, as well as a careful consideration of the properties of the particular
language. Treatment is typically provided through educational support, which can
help dyslexics to complete everyday reading and writing tasks through compensatory
strategies, but cannot ‘cure’ or eliminate the underlying cause. Importantly, beyond
the cognitive symptoms and the ensuing difficulty with reading and writing, Dyslexic
children may suffer social exclusion, which can lead to behavioural and affective
problems. Current research on Developmental Dyslexia therefore comprises various
strands; some focusing on the aetiology, some on diagnosis and intervention, and
others on psychological and behavioural aspects. All strands aim to provide new
insight in order to facilitate early detection, efficient intervention and management of
this challenging condition.
In nine chapters written by researchers from different parts of the world, this book
brings together leading international research from all strands.
The first three chapters discuss the manifestation of Dyslexia in very different
languages; Japanese, Chinese and Spanish, respectively, thus highlighting the effects
of the orthographic properties of different languages on differential manifestation of
reading difficulty.
The following three chapters explore specific cognitive and biological factors which
affect the observed symptoms of Dyslexia among French speakers; namely degraded
phonological representations, maturation of the oculomotor system and visual
attention span. The eighth chapter provides a comprehensive review of different
intervention programs used in UK schools, highlights individual differences in
dyslexic children, and the difficulties they face in light of the available diagnostic tools
and provision. It further proposes that beyond reading, focus must be shifted towards
Preface
writing and spelling both for early screening and diagnosis tools and for successful
intervention.
The final two chapters touch upon the affective aspect of living with dyslexia among
French children in Switzerland and among British adults, respectively.
Professor Taeko N. Wydell and Dr. Liory Fern-Pollak
Centre for Cognition and Neuroimaging (CCNI)
School of Social Sciences
Brunel University
Middlesex
UK
XI
1
Cross-Cultural/Linguistic Differences in the
Prevalence of Developmental Dyslexia and the
Hypothesis of Granularity and Transparency
Taeko N. Wydell
Centre for Cognition and NeuroImaging, Brunel University, Middlesex,
UK
1. Introduction
In this chapter, cross-cultural and cross-linguistic differences in the prevalence of
developmental dyslexia will be discussed. In order to account for the differences, the
Hypothesis of Granularity and Transparency postulated by Wydell and Butterworth (1999)
will be revisited.
Developmental dyslexia is defined as a failure to acquire reading skills, despite adequate
intelligence, education and sociocultural opportunity (Chrichey, 1975), and it is generally
accepted that it is a neurobiological disorder with a genetic origin (e.g., Eden & Moat, 2002;
Fisher & DeFries, 2002). It has been reported that up to 10 – 12% of children in the English
speaking world suffer from developmental dyslexia (e.g., Shaywitz, Shaywitz, Fletcher, &
Escobar, 1990; Snowling, 2000). Extensive research has been conducted in order to ascertain
the causes of dyslexia (and subsequently to develop intervention programmes), since
dyslexia sufferers form a large minority group, and yet there seems to be no consensus
amongst the researchers as to what causes developmental dyslexia.
Ramus (2003) reviewed recent empirical studies in relation to major theories accounting for
the causes of developmental dyslexia, such as for example, the auditory processing (in
particular, rapid or temporal processing) deficit hypothesis (e.g., Tallal, 1980; Share, Jorm,
MacLean, & Matthews, 2002); the visual processing deficit hypothesis including magnocellular
dysfunction hypothesis (e.g., Hansen, Stein, Orde, Winter and Talcott, 2001; Stein, 2001; 2003);
the motor control deficit hypothesis (e.g., Wolf, 2002) including the cerebellar dysfunction
hypothesis (e.g., Nicholson, Fawcett, & Dean, 2001); the general sensorimotor processing deficit
hypothesis (e.g., Laasonen, Service, & Virsu, 2001; 2002) and the phonological processing deficit
hypothesis (e.g., Ramus, 2001; Snowling, 2000). In his succinctly written review, Ramus
pointed out that behavioural genetic studies revealed that phonological deficits are highly
heritable, whereas auditory and visual deficits are not (e.g., Davis, Gayan, Knopik, Smith,
Cardon, Pennington, Olson, & DeFries, 2001; Olson & Datta, 2002), and concluded that
“although the phonological deficit is still in need of a complete cognitive and neurological
characterisation, the case for its causal role in the aetiology of the reading and writing
disability of the great majority of dyslexic children is overwhelming” (p.216).
Indeed, many behavioural studies in English have found core phonological deficits in
children with developmental dyslexia (e.g., Stanovich, 1988; Stanovich & Siegel, 1994;
2
Dyslexia – A Comprehensive and International Approach
Snowling 2000). The phonological deficits tend to interfere with the acquisition of
appropriate grapheme-to-phoneme conversion skills. Moreover, adults with childhood
diagnoses of dyslexia also revealed persistent phonological deficits (e.g., Bruck, 1992). For
example, Felton, Naylor, and Wood (1990) found that adults with developmental dyslexia
were impaired compared with normal controls using Rapid-Automatized-Naming (RAN),
phonological awareness skills and non-word reading tests. Similarly, Paulesu, Frith, Snowling,
Gallagher, Morton, Frackowiak and Frith (1996) found that even well-compensated dyslexic
adults showed residual phonological deficits on phoneme deletions and Spoonerizing
(exchange the initial phonemes of a pair of words, e.g., /car/ /park/ -> /par/ /cark/) tests.
2. Dyslexia and poor phonological recoders
More recently, Wydell in Shapiro, Hurry, Masterson, Wydell and Doctor (2009) tested 158
male and female students aged 14–15 in a state-funded selective and highly academic
secondary school in the UK, and identified a subset students with phonological deficits.
The following five phonological tests (in written format) were administered to all the
participating students: Rhyme-Judgements in words (e.g., YES to ‘head–bed’), RhymeJudgement in nonwords (e.g., YES to ‘kape-bap’), Homophone-Judgements in words (e.g.,
YES to ‘their-there’), Homophone-Judgements in nonwords (e.g., YES to ‘kane-kain’),
Phonological-Lexical Decisions (e.g., YES to ‘brane’).
Wydell identified 16 students out of this cohort (approximately just over 10%), whose scores
on any of these tests fell more than 1.5 standard deviations (SD) below the mean of the
group, as poor phonological recoder (PPR) readers (i.e., those with phonological deficits).
Note: The figure was extracted from Shapiro, Hurry, Masterson, Wydell and Doctor (2009).
Fig. 1. Proportion correct for reading and phonological tasks of PPR-Readers compared with
that of the controls.
Cross-Cultural/Linguistic Differences in the Prevalence
of Developmental Dyslexia and the Hypothesis of Granularity and Transparency
3
Those PPR-readers and 16 randomly selected normal readers were further tested for their
skills in Word Reading, Nonword Reading, Spoonerizing, Phoneme Deletions, and Nonword Repetition. As illustrated in Figure 1, the results revealed that PPR-readers were
significantly worse than the controls on all the tests (p>.01 – p>.0001) except for Phoneme
Deletions (p=.08) and Non-word repetition (p>1). Note that Gathercole and Baddeley’s
(1996) Non-word Repetition test is known to be one of the most effective diagnostic tools to
identify developmental dyslexia in young children. Yet, this test did not show any
difference between the PPR-readers and the normal controls. This might be because the test
was developed primarily to assess young children’s phonological skills, and that the test
might not be sensitive enough for these adolescent individuals.
Furthermore, Wydell compared these PPR-readers’ performance on SATs1 in English,
Science and Mathematics individually, with that of the normal controls using z-scores2.
The results revealed that 60% of PPR-readers’ SAT-English scores, and 70% of their SATScience scores were significantly lower than those of normal controls (both at p<.001). In
SAT-Maths scores, however, none of the PPR-readers were significantly worse than the
controls, indicating that cognitive processes involved in reading may be different from those
involved in mathematical operations (a similar pattern of data can be seen in the case study
reported by Wydell & Butterworth, 1999).
Wydell thus identified a subset of students aged 14-15 with phonological deficits even in a
selective and competitive academic environment, where all students appeared to be
performing well against the national average. Yet, these PPR-readers can still be considered
as academic underachievers, as Hannell (2004) suggested.
3. Dyslexia and the hypothesis of granularity and transparency
Wydell and Butterworth (1999) reported the case of an adolescent English-Japanese
bilingual male, AS, whose reading and writing difficulties are confined to English only.
Extensive investigations into his reading/writing difficulties in English revealed that he has
typical phonological processing deficits (Wydell & Butterworth, 1999; Wydell & Kondo,
2003). Figure 2 illustrates his performance in reading and phonological processing tests in
English together with those of age-matched English and Japanese monolingual controls,
which clearly indicate his phonological processing deficits.
However his ability to read Japanese was equivalent and often better than that of his
Japanese peers, as illustrated in Table 1.
Note that the Japanese writing system consists of two qualitatively different scripts:
logographic, morphographic Kanji, derived from Chinese characters, and two forms of
syllabic Kana, Hiragana and Katakana which are derived from Kanji characters (see Wydell,
Patterson, & Humphreys, 1993 for more details). These three scripts are used to write
different classes of words. Kanji characters are used for nouns and for the root morphemes
SATs - Standard Assessment Tests: national achievement tests given to all the children across the UK
at the end of Year-2 (aged seven), Year-6 (aged 11) and Year-9 (aged 14).
2 This is because it has been reported that there are marked individual differences among children with
developmental dyslexia both in terms of the extent of the severity and the nature of
difficulties/impairments (e.g., Snowling & Griffiths, 2005).
1
4
Dyslexia – A Comprehensive and International Approach
of inflected verbs, adjectives and adverbs. Hiragana characters are used mainly for function
words and the inflections of verbs, adjectives and adverbs, and for some nouns with
uncommon Kanji representations. Katakana characters are used for the large number of
foreign loan words (e.g. テレビ/terebi/TV) in contemporary Japanese.
Both forms of Kana have an almost perfect one-to-one relationship between character and
pronunciation. That is, one character always represents one particular syllable or mora
(syllable like unit) of the Japanese language and its sound value does not change whether
the character appears in the first position, the middle position or at the end of a multisyllable word. This is different from English, where orthographic units not only map onto
sub-syllabic phonological units, but the mapping will also depend on context, i.e. the
location within the word.
100
95
95
92
92
90
English
80
AS
Percentage
70
Japanese
70
66
63
57.8
60
55
52
50
43
40
40
30
**
*
Rhyme
**
*
PLDT
**
*
OLDT
**
*
Reading
Note: These tests are in written format: Rhyme = Rhyme judgements; PLDT = Phonological lexical
decision task (YES to psudohomophones, e.g., brane); PLDT = Orthographic lexical decision task (i.e.,
spell checking); Reading = reading aloud. ** = p<.01; * = p<.05.
The data were extracted from Wydell and Kondo (2003).
Fig. 2. A comparison of AS’s performance with that of Japanese and English monolingual
controls for reading and phonological tests
Words in Kanji have 1–5 characters with two being the modal number, and 2.4 the mean.
The relationship between character and pronunciation in Kanji is very opaque. This is because
each Kanji character is a morphographic element that cannot phonetically be decomposed in
the way that an alphabetic word can be. There are no separate components of a character that
correspond to the individual phonemes (see Wydell, Patterson & Butterworth, 1995 for a
further discussion). Also, most Kanji characters have one or more ON-readings,
Cross-Cultural/Linguistic Differences in the Prevalence
of Developmental Dyslexia and the Hypothesis of Granularity and Transparency
5
(pronunciations that were imported from spoken Chinese along with their corresponding
characters) as well as a KUN-reading from the original Japanese spoken language. Some
characters have no KUN-reading, but for those which have, the KUN-reading is almost always
the correct reading when this character constitutes a word on its own (e.g., 花/hana/ in KUNreading, meaning ‘flower’ which represents a single-character word; 花束/hana-taba/ in
KUN-reading, meaning ‘bouquet’ vs. 花瓶/ka-bin/ in ON-reading, meaning ‘vase’).
Note: Consistent = each character in a two-character Kanji word has one invariant ON (or occasionally
KUN)-reading; Inc-ON (Inconsistent ON-reading) = each character takes ON-reading in a two-character
word, but each character has a KUN-reading and/or another ON-reading; Inc-KUN (Inconsistent KUN)
= each character takes KUN-reading in a two-character word, but each character has at least one ONreading; Jukujikun = truly exception words, neither character in a two-character Kanji word takes
typical ON or KUN-reading, e.g., 雪崩/nadare/ meaning ‘avalanche’ however the first character means
‘snow’, and it is /yuki/ in KUN-reading, while it is /setsu/ in ON-reading; the second character means
‘collapse’, and it is /kuzu/ in KUN-reading, while it is /hou/ in ON-reading.
The table was extracted from Wydell & Butterworth (1999).
Table 1. AS’s Performance for two-character Kanji word naming
Table 1 shows that his accuracy in reading two-character Kanji words is equivalent to
Japanese undergraduate level except for low familiar Jukujikun (z = -3.63, P , 0.0009). Wydell
and Butterworth stated that the latter may be due to the fact that he had not had enough
exposure to low familiar Jukujikun. When AS was tested with these words, he was 16 years
old, while the youngest participant who took part in the experiment of Wydell, Butterworth,
Shibahara and Zorzi (1997) was 20 years old (mean age was 31 years old). Kanji learning is
essentially a life-long continuous learning process. If he were continuously educated within
the Japanese educational system, he would most probably be able to read these low familiar
Jukujikun by the time he graduated from a Japanese university.
In order to account for the dissociation between his ability to read in English and Japanese,
Wydell and Butterworth (1999) put forward the Hypothesis of Granularity3 and
In their review paper, Ziegler and Goswami (2005) also pointed out the importance of ‘granularity’ in
order to explain developmental dyslexia across different languages, and postulated the
“Psycholinguistic grain size theory”, which, however, “does not predict that orthographic consistency
3
6
Dyslexia – A Comprehensive and International Approach
Transparency as illustrated in Figure 3. The hypothesis maintains that orthographies can be
described in these two dimensions - (1) any orthography, where the print-to-sound
translation is one-to-one or transparent would not produce a high incidence of phonological
dyslexia (i.e., dyslexia due to phonological deficits) regardless of the level of translation, i.e.
phoneme, syllable, character, etc. This is the ‘transparency’ dimension, and (2) even when
this relationship is opaque and not one-to-one, any orthography whose smallest
orthographic unit representing sound is coarse, i.e. a whole character or whole word, would
not produce a high incidence of phonological dyslexia. This is the ‘granularity’ dimension. Any
orthography used in any language can be placed in the transparency-granularity orthogonal
dimension described by this hypothesis.
Granular Size
Degree of Transparency
Fig. 3. Hypothesis of Granularity and Transparency and orthography-to-phonology
correspondence.
For example, the granularity of the smallest orthographic unit representing phonology for
Japanese Kana is finer than the whole word, but coarser than the grapheme, and its
orthography-to-phonology mapping is at the level of syllables and one-to-one. In contrast,
for Japanese Kanji, the unit of granularity is much coarser, i.e. a character or a whole word,
(i.e., transparency) reduced developmental dyslexia” (p.20). They further argued that had Wydell and
Butterworth included nonword reading tasks in terms of "timed performance”, he (AS) would have
“displayed clear deficits in reading” in both languages (p.20). However, Zigler and Goswami did not
include Wydell and Kondo (2003)’s follow-up study in their review paper. Wydell and Kondo stated
that “AS’s reading was never laborious and slow” (p.40). Although they did not measure RT for each
stimulus word or nonword in milliseconds, they measured AS’s reading latencies for stimulus lists (in
minutes/seconds), which included nonwords in English and Japanese Kana. AS’s reading latencies
were comparable to those of the English controls, and were shorter than those of the Japanese controls.
Cross-Cultural/Linguistic Differences in the Prevalence
of Developmental Dyslexia and the Hypothesis of Granularity and Transparency
7
and the orthography -to-phonology mapping is very opaque, hence Kanji can be placed in
the shaded area. By this hypothesis, therefore, either of the two scripts used in Japanese
should not lead to a high incidence of phonological dyslexia.
Now with this categorisation, English can be placed outside of the shaded area, since the
granularity for English is small/finer, however, the orthography-to-phonology mapping is
not always one-to-one and not transparent. By this hypothesis, English orthography may lead
to a high incidence of phonological dyslexia. Given the differences between the two
orthographies used in Japanese and English, therefore, the hypothesis of granularity and
transparency argues that it might be possible for an English-Japanese bilingual individual to
be dyslexic in English but not in Japanese.
4. Prevalence of dyslexia and the hypothesis of granularity and transparency
Indeed, researchers have argued that the difference in the prevalence of developmental
dyslexia in the different languages might be primarily due to the differences inherent in the
characteristics of each orthography, in particular, the way in which phonology is computed
from orthography (e.g., de Luca, Burani, Paizi, Spinelli, Zoccolotti, 2010; Landerl, Wimmer,
Frith, 1997; Wydell & Butterworth, 1999; Zoccolotti, de Luca, de Pace, Gasperini, Judica,
Spinelli, 2005). Earlier it was mentioned that in English up to 10 – 12% of children are
reported to suffer from developmental dyslexia (e.g., Shaywitz, et al., 1990; Snowling, 2000).
In Danish, as many as 12% of adults in Denmark have difficulties in reading, which was
revealed in the study conducted by Elbro, Moller, and Nielsen (1995). In these languages,
orthography-to-phonology correspondence (which means grapheme-to-phoneme
correspondence in alphabetic languages) is not consistent, i.e., not always one-to-one or
transparent (e.g., hint, lint, tint vs. pint; bread, head vs. bead, mead; colonel; yacht; bough
vs. dough vs. through vs. thorough). However, in alphabetical languages whereby the
grapheme-to-phoneme correspondence is consistent or transparent, such as for example,
Dutch, German, or Italian, the prevalence of developmental dyslexia is much lower (e.g., de
Luca, et al., 2010; Zoccolotti et al., 2005 for Italian; Landerl, et al., 1997 for the comparison
between German and English speakers; Paulesu, De´monet, Fazio, McCrory, Chanoine,
Brunswick, Cappa, Cossu, Habib, Frith, C.D., & Frith U., 2001 for the comparison between
English, French and Italian speakers).
For example, Landerl et al. (1997) examined the reading and phonological processing skills
of English and German dyslexic children against their normal chronological and reading
age-matched controls, and found that although the same underlying phonological
processing deficit might exist in both German and English dyslexic children, there were
differences in the severity of the reading impairment. English dyslexic children showed a
marked adverse effect in the acquisition of reading skills compared to German dyslexic
children. These differences were also seen between the normal German and English control
children in their reading performance. Landerl et al. suggested that these differences were
due to differences in orthographic ‘consistency’. That is, different orthographies have
different mapping rules, and there is a wide range in the degree of consistency with which
alphabets represent phonemes by graphemes. ‘Consistency’ here is interchangeable with
‘transparency’. For orthographies such as German, Italian or Spanish, the grapheme-tophoneme mapping is, in general, one-to-one, and consistent/transparent. For other
orthographies such as English or Danish, the grapheme-to-phoneme mapping is often one-
8
Dyslexia – A Comprehensive and International Approach
to-many (e.g., food vs. hood vs. flood or blood), and less consistent/transparent (e.g.
Seidenberg, Waters, Barnes, & Tanenhaus, 1984). Thus it was assumed that orthographic
consistency/transparency affects both the nature and degree of reading difficulties (de Luca,
et al., 2010; Zoccolotti et al., 2005).
Landerl et al. further argued that phonological recoding itself may not necessarily be a
demanding task. When grapheme-to-phoneme mapping is consistent/transparent, children
can easily acquire the grapheme-phoneme correspondence rules, and use these to assemble
pronunciations for novel letter strings (as seen with Italian or Spanish children for example).
Therefore, the phonological recoding may become a demanding task, only when the
grapheme-phoneme correspondence in an orthography is not consistent/transparent, such
as for example, English (Snowling, 2000) or Danish (Elbo et al., 1995). Therefore, if the
grapheme-phoneme correspondence is consistent, even children with phonological deficits
may be able to learn to map print onto sound thus without showing a delay in reading
acquisition. Similarly, the ‘hypothesis of granularity and transparency’ in particular, the
transparency dimension predicts that developmental phonological dyslexia should not manifest
itself in a writing system where the print-to-sound correspondence is transparent regardless
of the size unit of granularity.
Moreover, the granularity dimension of the hypothesis predicts that developmental
phonological dyslexia should not manifest itself in a writing system where the unit of
granularity is coarse at a whole character or whole word level. It should therefore be
possible to find a bilingual individual with monolingual dyslexia, especially between two
orthographies such as English and Japanese.
Further evidence which lends support to the Hypothesis can be seen in a recent cross
sectional study conducted in Japanese by Uno, Wydell, Haruhara, Kaneko and Shinya
(2009). In their study, 495 Japanese primary school children (from 2nd Grade aged eight to 6th
Grade aged 12) in Japan were tested for their reading, writing and other cognitive skills
including phonological awareness (STRAW, 2006). The results showed that percentages of
children
who
had
reading
difficulties
(defined
as
those
whose
reading/writing/phonological tests’ scores fell below -1.5SD) in syllabic Hiragana, syllabic
Katakana, and logographic Kanji were 0.2%, 1.4%, and 6.9% respectively – these figures
were significantly lower than those reported in the studies in English (Shaywitz et al., 1997;
Snowling, 2000) or Danish (Elbo et al., 1995). Yet there was no significant difference in the
IQ scores between the normal group and reading/writing disabled (RWD) group (measured
by Ravens Coloured Progressive Matrices, 1976).
The study also suggested that different reading strategies might be adopted when reading in
Kana and Kanji. For Kana, where the character-to-sound-mapping is transparent, a simple
on-line phonological processing (i.e., sublexical analytical reading) strategy might be used
(Wydell & Butterworth, 1999; Rastle, Havelka, Wydell, Coltheart, Besner 2009), just like
other consistent orthographies such as Italian (de Luca, et al., 2010; Zoccolotti et al., 2005) or
German (Landerl et al., 1997). In contrast, for Kanji, because the character-to-soundrelationship is opaque, and the correct pronunciation is determined at the whole-word level,
a lexical whole-word reading strategy might be used (e.g., Morton, Sasanuma, Patterson &
Sakuma, 1992; Wydell, 1998; Wydell & Butterworth, 1999; Wydell, et al., 1993; Wydell,
Butterworth & Patterson, 1995; however also see Fushimi, Ijuin, Patterson & Tatsumi, 1999
for counter argument).
Cross-Cultural/Linguistic Differences in the Prevalence
of Developmental Dyslexia and the Hypothesis of Granularity and Transparency
9
Thus the results of Uno et al.’s (2009) study further lend support to the Hypothesis of
Granularity and Transparency. Wydell and Butterworth (1999) argued that English
orthography would require a fine tuning of the orthography-to-phonology mapping,
because English orthography is not completely transparent at the subsyllabic level (i.e.
smaller grain-unit than syllables). In contrast, the grain size for Kana is at the whole
character level (i.e., greater grain-unit than graphemes), and its orthography-to-phonology
mapping is transparent (one-to-one). Hence Japanese children in general find it easier to
master reading in Kana. This is because, as Landerl et al. (1997) argued for German, the
phonological recoding of Kana is not a demanding task. Moreover, although the grain size for
Kanji is either at whole character or whole word level, its orthography-to-phonology mapping
is opaque (one-to-many). Consequently learning to read in Kanji for Japanese children is
harder than that in Kana. The results thus indicate that reading Kanji may require different
reading strategies or different cognitive skills to those required for reading Kana. If so, reading
English may yet require different reading strategies to those required for Kanji or Kana.
Wydell and Butterworth (1999) thus speculated that it is therefore possible to be a Danish or
English-Japanese bilingual with monolingual dyslexia in Danish or English.
5. Dyslexia and cross-cultural and cross-linguistic differences
Interestingly, in Japan rather than group studies, single case studies of children with reading
disorders have started to emerge (e.g., Kaneko, Uno, Kaga, Matsuda, Inagaki, & Haruhara,
1997; 1998; Uno, Kaneko, Haruhara, Matsuda, Kato, & Kasahara, 2002). The majority of these
children in Japan tend to have both reading and writing difficulties, and often the writing
impairment is more severe than the reading impairment4. Significantly, in Japan there are
very few reported cases of children with reading impairments only. The Japanese
researchers usually attribute these reading and writing impairments among children to
‘visual’ or ‘visuospatial’ processing problems (e.g., Kaneko et al., 1998) rather than
phonological processing problems.
Unlike alphabetic orthographies but similar to Japanese KANJI, the Chinese language uses a
logographic writing system whereby the basic orthographic units, the Chinese characters,
correspond directly to morphemic meanings and to syllables in the spoken language. The
pronunciations of Chinese characters are represented at the monosyllabic level, and no
phonemes are represented in a character. That is, reading a Chinese character does not allow
the segmental analysis (i.e., grapheme-to-phoneme conversion), which is fundamental in
alphabetic orthographies (Wanga, Bi, Gao, &Wydell, 2010). Therefore Chinese is often
referred as a morphosyllabic writing system (Shu & Anderson, 1997). Further, Meng, Sai,
Wang X., Wang, J., Sha, and Zhou (2005) pointed out that there is only limited systematic
correspondence between orthography and phonology. Moreover, Mandarin Chinese has a
large number of homophonic morphemes and homophonic characters. Therefore it is often
stated that the use of phonological information may not be as critical in reading Chinese as it
is in reading alphabetic languages (Ho, Chan, Lee, Tsang, & Luan, 2004; Ho, Chan, Tsang, &
Lee, 2002; Shu, McBride-Chang,Wu, & Liu, 2006). If this were the case, then a high incidence
4 In English, it is often the case that when reading is impaired, writing is also impaired, and therefore
dyslexia is assumed to mean both reading and writing impairments.
10
Dyslexia – A Comprehensive and International Approach
of phonological dyslexia in Chinese should not be seen (cf the Hypothesis of Granularity
and Transparency (Wydell & Butterworth, 1999)).
Similar to Uno et al.’s (2009) study in Japanese, Li, Shu, McBride-Chang, Liu and Peng (in
press) investigated the acquisition of reading in Chinese, and tested 184 kindergarten
children and 273 primary school children from Beijing, Mainland China for their skills in (a)
Chinese character recognition, (b) visual-spatial relationships and visual memory, (c)
orthographic judgement, (d) phonological awareness including (d1) Rime deletion, (d2)
Syllable deletion, (d3) Phoneme deletion and (d4) Rapid number naming, (e) Morphological
awareness including (e1) Homophone judgements, (e2) Morphological construction, and
(e3) Morpheme production.
The results showed that especially for the primary school children, a unique and relatively
strong relationship between (c) orthographic knowledge (and not (b) visual skills) and
reading was found. In addition, (d) phonological and (e) morphological awareness “appear
to be somewhat important for reading throughout the very beginning and intermediate
periods of character acquisition” (p.15). However, (d3) phoneme deletion was not uniquely
associated with reading particularly for the primary school children. Li et al. thus argued
that “phoneme awareness by itself is relatively unimportant for reading Chinese because the
phoneme is not explicitly represented in the Chinese orthography” (p.16). Li et al. further
argued that unlike most alphabetic writing systems where there is a strong relationship
between phoneme awareness and reading skills, in Chinese larger unit size such as syllable
or rime may be a better predictor variable for reading Chinese characters.
Indeed, recent research has revealed that the major cause of developmental dyslexia in
Chinese is a deficit in orthographic processing skills, rather than in phonological processing
skills (e.g., Chan, Ho, Tsang, Lee, & Chung, 2006; Ho et al., 2004; Shu et al., 2006), though some
studies did show that Chinese dyslexic children had phonological deficits (e.g., deficits in
rapid naming (e.g., Ho, Law, & Ng, 2000) and auditory processing (e.g., Meng et al., 2005).
In order to ascertain neurophysiologically a cause of developmental dyslexia in Chinese,
Wang, Bi, Gao, and Wydell (2010) conducted an ERP (Event Related Potential) study with
Chinese dyslexic and chronological-age-matched, and reading-level-matched non-dyslexic
children from Beijing, Mainland China, employing a psychophysical experiment, i.e., the
motion-onset paradigm. A similar psychophysical paradigm was first employed by RogersRamachandran and Ramachandran (1998) with English-speakers as their participants,
whereby two distinct visual systems/pathways in human vision were identified, namely, “a
fast, sign-invariant system concerned with extracting controls” (p.71) which is the
magnocellular visual system, and “a shallower, sign-sensitive system concerned with
assigning surface colour” (p.71), which is the parvocellular visual system. Subsequent
similar psychophysics studies with English-speaking children as participants showed that
the performance of the participating children significantly correlated with the measures of
orthographic skills in the Magnocellular Condition (e.g., Sperling, Lu, Manis, and
Seidenberg, 2003; Talcott, Witton, McLean, Hansen, Rees, & Green, 2000).
Wang et al.’s ERP study revealed that the Chinese dyslexic children’s orthographic
processing skills were significantly compromised, when compared to their Chinese
chronological and reading age-matched control children, which in turn, Wang et al. argued,
is linked to a deficit in the visual magnocelluar system.
Cross-Cultural/Linguistic Differences in the Prevalence
of Developmental Dyslexia and the Hypothesis of Granularity and Transparency
11
Other brain imaging studies using fMRI (functional Magnetic Resonance Imaging) in
Chinese such as Siok, Niu, Jin, Perfetti, and Tan (2008) or Siok, Perfetti, Jin, & Tan (2004)
revealed functional and structural abnormalities in the left middle frontal gyrus of Chinese
dyslexic children, but not in the left temporoparietal and occipitotemporal regions that are
important for reading in alphabetic languages (e.g., Paulesu, McCrory, et al., 2000; Wydell,
Vuorinen, Helenius & Salmelin, 2003), and are typically compromised in dyslexic children in
alphabetic languages (e.g., Horwitz, Rumsey, & Donohue, 1998; Temple, Poldrack, Salidis,
Deutsch, Tallall, Merzenich, & Gabriel, 2001). These researchers therefore argued that
reading Chinese characters might require firstly greater cognitive demand for visual
processing than reading in alphabetic languages such as English, and secondly a greater
inter-activity between orthography and phonology. This is because, like Japanese Kanji,
reading Chinese characters requires retrieving phonology as a whole rather than addressing
phonology in piece-meal fashion (see Wang et al., 2010 for more details). Therefore Siok and
his colleagues also suggested that the neural abnormality found in impaired readers is
dependent on culture (see also Paulesu, Frith, et al., 2001 for a similar argument).
Thus in this Chapter, having reviewed recent empirical studies in alphabetical as well as
non-alphabetic languages such as Chinese and Japanese, the chapter has shown significant
cross-cultural/linguistic differences in the prevalence of developmental dyslexia in different
languages.
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2
Typical and Dyslexic Development
in Learning to Read Chinese
Hua Shu and Hong Li
Beijing Normal University,
China
1. Introduction
Compared with research on alphabetic languages, research on reading acquisition and
impairment in Chinese has a relatively short history. However, this field has attracted more
and more attention, and increasing number of findings have been reported in recent years.
In the present chapter, we will firstly describe some important features of the Chinese
language, and how these features influence reading acquisition of normal Chinese children.
Then, we will summarize a series of studies of dyslexic development in learning to read
Chinese, in which the critical deficits for Chinese dyslexic children were identified. Finally,
several longitudinal studies will be reviewed, in which the early predictors and
developmental trajectories of reading acquisition and impairment in Chinese children were
explored.
2. Properties of the Chinese language and the cognitive correlates in reading
acquisition of Chinese children
It has long been recognized that phonological skills are highly correlated with reading
ability in alphabetic languages (Bradley & Bryant, 1983; Wagner & Torgesen, 1987; Ziegler &
Goswami, 2005). In recent years, increasing research evidence has been reported that the
contribution of the cognitive skills on reading acquisition is also related to the nature of the
orthographies. For example, naming speed (Wimmer et al., 2000) and letter knowledge
(Gallagher, Frith, & Snowling, 2000) have been identified to be also the important cognitive
correlates of reading acquisition in transparent orthographies.
Chinese is a logographic writing system. The basic units of written Chinese are characters.
More than 80% of modern Chinese characters are phonetic compound characters and consist
of sub-character components or radicals arranged under the orthographic rules. For
example, a compound character (e.g., 盯, /ding1/, stare) consists of two parts: one
component is called semantic radical (e.g., 目, eye), which carries the meaning information of
a character, and another component called phonetic radical (丁, /ding1/), which provides
the information about pronunciation of a character. The corpus study by Shu, Chen,
Anderson, Wu, and Xuan (2003) showed that, in all of the characters taught in elementary
schools, about 88% of the compound characters are semantic transparent (e.g. the
character妈 (mother) is with a female radical “女”) or semi-transparent (e.g. the character猎
16
Dyslexia – A Comprehensive and International Approach
(hunting) is with an animal radical “犭”). However, only about 39% of the compound
characters are regular in pronunciation (e.g., the character 逗 /dou4/ is with the phonetic
radical “豆” /dou4/).
The semantic and phonetic radicals may be further divided into about 600 subcomponents
(e.g. 十, 口) which have fixed internal structures. The components or subcomponents are
combined to form thousands of characters. Many of the radicals or components have their
legal positions within the characters, although others can occur on flexible positions. For
example, some components can appear only on the left (e.g. 扌), on the right (e.g.刂), on the
top (艹) or on the bottom (灬) of characters. Awareness of inter-structure and position of
components within characters are important in character recognition and it makes relatively
greater demands on basic visual or orthographic analysis in Chinese reading. Previous
studies have demonstrated that visual skill and orthographic awareness (e.g. Huang &
Hanley, 1995; Ho & Bryant, 1997; Ho, Chan, Lee, Tsang, & Luan, 2004; Li, Peng, & Shu, 2006;
Li, Shu, McBride-Chang, Liu, & Peng, in press) play significant roles in Chinese reading
development. The brain mechanism of orthographic processing in Chinese reading were
also reported in the fMRI studies (Liu, Zhang, Tang, Mai, Chen, Tardif & Luo, 2008; Tan,
Liu, Perfetti, Spinks, Fox, & Gao, 2001; Wang, Yang, Shu & Zevin, 2011)
The unit of interface between the written word and spoken language in Chinese is morpheme.
A character corresponds with one syllable and usually represents one morpheme. It makes
morphological awareness potentially important in Chinese reading. Morphological
awareness in Chinese is suggested to consist of three types of knowledge related to reading
(Wu, Packard, & Shu, 2009). First, the fact that there are about 7,000 morphemes but only
1,200 syllables in Mandarin Chinese suggesting that more than five morphemes or
characters share one syllable. Therefore the knowledge of homophones becomes important
when reading Chinese, in which a reader is required to distinguish the homophone
characters which share the same syllable (e.g. /yi4/) but with different morphemes (e.g. 义
‘meaning’, 易‘easy’, 亿 ‘a hundred million’, 宜 ‘appropriate’, 益 ‘benefit’, 艺 ‘art’, 议 ‘discuss’, and
so on. The second is knowledge of homographs which requires a reader to be aware that a
single written character (e.g. 草) may represent different morphemes (‘grass’ or ‘careless’).
The different morphemes contribute to the word’s meaning when they are in different
compound words (e.g. ‘grass’ in 草地 ‘lawn’ or ‘careless’ in 草率 ‘cursory’). The third is
knowledge of the morphemic structure of compound words which requires the awareness
of the contribution of the individual morphemes (e.g. 飞 ‘fly’ and 机 ‘machine’) to the
meaning of the whole word (e.g. 飞机, ‘airplane’) . Because of the central role played by the
morpheme in Chinese orthography, sensitivity to morphological knowledge is especially
important in the development of oral and written vocabulary in Chinese. Morphological
awareness is critically important for children learning to read and write, and emerges early
and develops with age in preschool children (Chen, Hao, Geva, Zhu, & Shu, 2009; McBrideChang, Shu, Zhou, Wat, & Wagner, 2003).
Chinese has a relatively simple syllable structure: a syllable consists of an onset and a rime
and the combination is regular in spelling; mapping from spelling to sound is syllablebased. However, numerous studies on Chinese children’s reading development and
impairment have demonstrated that phonological skills, including syllable awareness, onset
awareness and rime awareness, are associated with Chinese character recognition (e.g.
Typical and Dyslexic Development in Learning to Read Chinese
17
Chow, McBride-Chang, & Burgess, 2005; Siok & Fletcher, 2001; Ho, Law, & Ng, 2000).
Lexical tone is a fundamental feature of Chinese spoken language in which four tones are
used to distinguish meanings that are not differentiated by segmental information. Studies
showed that different levels of phonological awareness in Chinese emerge as the results of
age or experience. Syllable and rhyme awareness appear to develop naturally with age in
preschool children. However, onset and tone awareness appear to depend upon school
instruction (Shu, Peng, & McBride-Chang, 2008).
Rapid Automatized Naming (RAN) refers to tasks that require readers to name a list of
familiar stimuli as rapidly as possible. RAN tasks were suggested to predict reading better
in transparent orthographies than in opaque orthographies. However, recent studies have
suggested RAN to be a consistent predictor of Chinese reading development, in which
linking printed information with a given phonological representation arbitrarily is
important. It predicts reading fluency and accuracy in both typically developing children
and dyslexics (Ho & Lai, 1999; Ho et al., 2000; Shu, McBride-Chang, Wu, & Liu, 2006; Lei,
Pan, Liu, McBride-Chang, Li, Zhang, Chen, Tardif, Liang, Zhang, & Shu, 2011; Pan,
McBride-Chang, Shu, Liu, Zhang, & Li. in press).
To summarize, studies have reported a strong link between phonological awareness and
character recognition in Chinese children (e.g., Siok & Fletcher, 2001; Shu et al., 2008). The
role of morphological awareness, visual-orthographic skills, and rapid automatized naming
in reading acquisition and impairment has also been demonstrated (e.g., Ho et al., 2004; Shu
et al., 2006). What assessments can best examine those cognitive skills and are most sensitive
to differences in reading ability at different stages of development? Li et al., (in press)
administered 184 kindergarten children at age 5 to 6, and 273 primary school children at age
7 to 9 from Beijing with a comprehensive battery of tasks, including those for visualorthographic, phonological, morphological skills, rapid automatized naming abilities, and
Chinese character recognition skills, in order to explore the cognitive correlates which can
better predict Chinese reading acquisition across preschool and early grade levels. Visual
Spatial Relationships and Visual Memory subtests were administered to test children’s
visual skills. An orthographic judgment task was created to measure orthographic
awareness of Chinese children, in which children were asked to judge 4 types of critical
items, including black and white line drawings (e.g.
), ill-formed structure with radicals
in the illegal positions (e.g.
) , ill-formed components (e.g.
), and well-formed
structure pseudo-characters items (e.g.
). Phonological awareness contained syllable
deletion, rime detection, and phoneme deletion. Three tasks were designed for
measurement of morphological awareness, specifically for knowledge of compound words,
knowledge of homophones, and knowledge of homographs. The morphological
construction task aims to test if children are able to decompose a compound word (大红花,
big red flower) into morphemes (大 big, 红 red, 花flower) and construct a new compound word
based on the new morphemes (e.g. “If a big flower that is red in color is called “大红花, big
red flower”, what should we call the big flower that is blue?” The correct answer is “大蓝花,
big blue flower”). The homophone judgment task aims to test if children can distinguish the
morphemes with the same sound but different meanings based on the compound word
context. For example, the second syllable of the words “蛋(egg)糕(cake), /dan4-gao1/, cake”
and “跳(jump)高(high), /tiao4-gao1/, high jump” share the same sound /gao1/ but with
different meanings “糕, cake” and “高, high”. Children were asked to judge “If the
18
Dyslexia – A Comprehensive and International Approach
compound words 蛋糕 /dan4 gao1/ and 跳高 /tiao4 gao1/ share the same morpheme
/gao1/?” The correct answer is “No”. Morpheme production task aimed to test if children
can distinguish homographs, that is, the morphemes with same character and same sound,
but with different meanings based on the compound word context. For example, the
morpheme “明”in word “明(next)天(day), /ming2 tian1/, tomorrow” and”明(bright)亮(light),
/ming2 liang4/, brighten” share the same character and same sound, but with the different
meanings ‘next’ and ‘bright’. In the task, the experimenter spoke a word (e.g. “明(next)天(day),
/ming2 tian1/, tomorrow’ ) to children. Children were asked to produce two compound words
containing the same character and sound but with different morphemes (homograph). The
possible correct words are 明(next)年(year) /ming2 nian2/ ‘next year’ with the morpheme ‘next’
and 明(bright)亮(light) /ming2 liang4/, ‘brightness’ with the morpheme ‘bright’).
Regression analyses indicated that only syllable deletion, morphological construction, and
speed number-naming were unique correlates of Chinese character recognition in
kindergarten children. Among primary school children, the independent correlates of
character recognition were rime detection, homophone judgment, morpheme production,
orthographic knowledge, and speed number-naming. Results confirmed that phonological
awareness, morphological awareness and speed naming are important in explaining
character recognition for both kindergarten and lower grade primary school children.
Orthographic awareness becomes significant to character recognition of school children as
they learn to read. It is important to choose tasks which are suitable for the age of children
that are being tested, since some tasks are sensitive to a wide range of ages, while others are
more age-specific.
3. Chinese children with dyslexia and its early prediction
3.1 The characteristics and core deficits of Chinese children with dyslexia
About 5%-10% of school-aged children, in any language, have a persistent difficulty in
learning to read that could not be explained by sensory deficits, low general intelligence,
poor educational opportunity, or lack of motivation (Fisher, DeFries, 2002; Shaywitz,
Shaywitz, Fletcher, Escobar, 1990). However, for a long time developmental dyslexia was
believed to be a problem that exists only in western languages, since the strong assumption
that phonological awareness has a major impact on the acquisition of literacy only in
alphabetic languages. Since Stevenson, Stigler, Lucker, Lee, Hsu, and Kitamura (1982) first
found that the prevalence of dyslexia among American, Japanese and Chinese children is
comparable, a great number of studies in Hong Kong, Taiwan and Mainland China have
congruously reported that between 5% and 10% of school-aged children in Chinese were
dyslexic in the past years (Zhang, Zhang, Yin, Zhou, & Chang, 1996; Yin and Weekes, 2003).
Research has revealed that, just like in alphabetic languages, dyslexic children in Chinese
mainly suffered from the accuracy and speed of word reading and spelling, so that reading
measures widely used in distinguishing dyslexic from normal children are single character
or word recognition measures ((Ho, et. al, 2002, 2004; Meng, Shu & Zhou, 1999; Shu, Wu,
McBride-Chang, 2006).
According to the dual-route model of reading, mapping from print to sound is achieved
through at least two pathways, a lexical semantic route and a nonsematic GPC route
(Coltheart, Rastle, Perry, Langdon & Ziegler, 2001). Yin and Weekes (2003) proposed a
Typical and Dyslexic Development in Learning to Read Chinese
19
framework for understanding acquired and developmental dyslexia in Chinese derived
from a cognitive neuropsychological account of reading and writing Chinese. Their model
assumes that normal oral reading in Chinese depends on a division of labor between the
lexical semantic pathway and a nonsemantic pathway. Impairment to the lexical semantic
pathway will result in acquired surface dyslexia, while impairment to the nonsemantic
pathway results in deep dyslexia. In a case study, Shu, Meng, Chen, Luan, and Cao, (2005)
reported two types of dyslexic children, surface and deep, who showed the impairment in
different pathways. Two dyslexic children, Child-L and Child-J, were tested by a word
recognition task, in which they were asked to name a character and then to compose a
compound word based on the target character. It was found that Child-L, identified as
‘surface dyslexic’, could correctly pronounce many of regular characters but made many
regularization errors in irregular character naming. And Child-L also made many
homophone errors when he composed a compound word based on the target character.
According to Hillis and Caramazza (1995), the information from semantic-lexical and OPC
routes integrate to provide the constraint for the selection of word pronunciation. For a
Chinese reader, a compound character 拦 /lan2/‘obstruct’may active a set of homophone
characters /lan2/, and also active the characters with the meaning related with ‘obstruct’.
The correct pronunciation and meaning of the character will be accessed with the two
pathways. However, Child-L could correctly pronounce a target character (e.g. 拦 /lan2/)
based on its phonetic cue (e.g. 兰 /lan2/), but he could not access the semantic information
of the character. Then he composed a wrong compound word 篮子 /lan2 zi/, ‘basket’ with a
homophone character 篮 /lan2/, as illustrated in Figure 1. It suggests that as a surface
dyslexic, Child-L normally developed the nonsemantic or sublexical route so that he could
utilize phonetic radical information in character naming. But his semantic pathway was
developmentally delayed or deficient.
Fig. 1. An example of reading model for surface dyslexic Child L
20
Dyslexia – A Comprehensive and International Approach
In contrast, Child-J, identified as ‘deep dyslexic’, made a relatively large percentage of
semantic related errors (26%) in pronunciation. For example, he named the character 煎
/jian1/ ‘fry’, which is with the phonetic 前 /qan2/, as 炖 /dun4/ ‘braise’, a character which
is semantically related with the target character煎‘fry’, but with the phonetic 屯 /tun2/. He
composed a compound word炖肉 /dun4-rou4/ ‘stew’, (see Figure 2). It is clear that he
ignored the phonological information provided by the phonetic 前 /qan2/ of the target
character煎 /jian1/, but accessed the meaning of the target 煎‘fry’ and also the characters
with the meanings related with ‘fry’ were activated. Child-J’s performance showed the
characteristics of deep dyslexia. That is, his nonsemantic pathway was developmentally
delayed or deficient, but his semantic pathway was relatively normal.
Fig. 2. An example of reading model for deep dyslexic Child J
The resulting patterns of the two children support the framework proposed by Yin and
Weekes (2003) that surface dyslexia (Child-L) may be explained by developmental delay or
deficit in the semantic pathway and deep dyslexia (Child J) can be explained by delay or
deficit in the nonsemantic pathway in reading acquisition. The impairment in different
pathways could explain the fact that child L could not distinguish the target from
homophone characters, and child J could not utilize sublexical phonetic information in
pronunciation. The response patterns of the dyslexic children were simulated and confirmed
by the results from a triangle model in Chinese (Yang, McCandliss, Shu, & Zevin, 2008).
Phonological deficit has been treated as the main cause of developmental dyslexia and
sufficient to explain poor reading performance in alphabetic languages (Bradley & Bryant,
1983; Ramus, 2003; Snowling, 2000; Ziegler, Bertrand, Tórth, Csépe, Reis, Faísca, Saine,
Lyytinen, Vaessen, & Blomert, 2010). However, the important links of cognitive skills with
reading success and failure vary across orthographies (Ziegler & Goswami, 2005; Lyytinen,
Erskine, Tolvanen, Torppa, Poikkeus, & Lyytinen, 2006). What are the core deficits for
dyslexic children in Chinese?
Typical and Dyslexic Development in Learning to Read Chinese
21
Research has revealed that phonological, naming-speed and orthographic deficits are
important features in Chinese dyslexic children. Testing 147 Hong Kong children with
dyslexia on a number of literacy and cognitive tasks, Ho, et al. (2004) found that rapid
naming deficit (57%) and orthographic deficit (42%) were the most dominant types of
cognitive deficits in Chinese developmental dyslexia, while the relatively small proportion
of dyslexic children has phonological deficits (29%) and visual deficits (27%).
Shu, et al. (2006) specifically examined the role of morphological skills in Chinese dyslexia
besides other cognitive skills. Comparing 75 dyslexic with 77 normal children from primary
schools in Beijing, the study systematically examined their literacy skills (character naming,
reading comprehension, and dictation), linguistic and nonlinguistic cognitive skills with
morphological awareness, rapid naming, phonological awareness, verbal short-term
memory, lexical vocabulary, visual spatial test, articulatory rate, visual attention and
nonverbal short-term memory tasks. In the logistic regression analysis, dyslexic children
were found to be best distinguished from age-matched controls with tasks of morphological
awareness, speeded number naming and vocabulary skills, while performance on tasks of
visual skills and phonological awareness failed to distinguish the two groups. Path analysis
revealed that phonological awareness, morphological awareness and rapid naming were all
uniquely associated with the three literacy tasks: character recognition, reading
comprehension and dictation. Based on the same data, Wu (2004) further found that,
compared with phonological (53%) and speed (45%) problems, the largest proportion (96%)
of dyslexic children had morphological problems. Figure 3 shows all the children with
dyslexia grouped by their deviant performance on the different tasks.
Fig. 3. Classification of dyslexic outliers by morphology, phonology, vocabulary and rapid
naming. (from Wu, 2004).
22
Dyslexia – A Comprehensive and International Approach
The significance of morphological awareness was supported in a following study in which
children with and without dyslexia were tested on the tasks including paired associative
learning (visual-visual and visual-verbal PAL), phonological awareness, morphological
awareness, rapid naming, verbal short-term memory and character recognition. The logistic
regression demonstrated that morphological awareness, rapid naming and visual-verbal
PAL uniquely distinguished children with and without dyslexia, even with other
metalinguistic skills controlled (Li et al., 2009).
Researchers found that Chinese children with dyslexia tend to possess more than one kind
of cognitive deficits. Ho, et al. (2002) reported that 20% of the dyslexic children have only
one deficit and about 50% of dyslexic children possess more than two deficits. In Wu, et al.
(2009) study, the results further confirmed that 24% of the dyslexic children were found to
have only one deficit and about 80% of dyslexic children possessed more than one deficit.
3.2 Early prediction of reading acquisition and impairment
Dyslexia has been defined as a developmental disorder starting at childhood. Many factors
interact to shape children’s language and reading development before they start school.
However, dyslexic children usually are diagnosed after they failed in learning to read at
school. Could children with reading difficulties at school be identified at an earlier stage?
Longitudinal research provides the best way to understand early prediction of reading
acquisition and impairment. Longitudinal studies in alphabetic languages have revealed
that slow vocabulary development, language grammatical skills, phonological awareness,
rapid naming, and letter knowledge begin to differ between children with and without risk
for dyslexia around 3 or 4 years old (Lyytinen et al., 2006). Research even reported that ERP
response to speech sound at 6 month discriminated infants with familial risk for reading
disorder at age 8 (Leppänen, Richardson, Pihko, Eklund, Guttorm, Aro, & Lyytinen,, 2002).
What are the most effective early predictors for reading development and impairment in
Chinese? Are we able to identify latent poor readers from early indicators?
In recent years, several studies explored those questions through longitudinal studies. Liu,
McBride-Chang, Wong, Tardif, Stokes, Fletcher, and Shu (2009) investigated the extent to
which language skills at ages 2 to 4 years could discriminate Hong Kong Chinese poor from
adequate readers at age 7. It was found that children’s performance at age 2 in vocabulary
knowledge, at age 3 in Cantonese articulation, and age 4 receptive grammar skill, sentence
imitation, and story comprehension can best predict the word recognition performance
between the poor and adequate readers at age 7.
McBride-Chang, Lam, Lam, Doo, Wong, and Chow (2008) found that the group of Hong
Kong children with a genetic risk for dyslexia showed particular difficulties in lexical tone
detection, morphological awareness, and Chinese word reading, whereas the language
delayed group performed more poorly in all tasks administered. Their follow-up study
(McBridge-Chang, et al., 2011) further reported that 62% of the children with an early
language delay subsequently manifested dyslexia and 50% of those with familial risk
become dyslexic at school. The deficits which best distinguish dyslexic from nondyslexic
children at age 7 were morphological awareness, rapid automatized naming, and word
reading at age 5, suggesting that rapid automatized naming and morphological awareness
are relatively strong correlates of developmental dyslexia in Chinese.
Typical and Dyslexic Development in Learning to Read Chinese
23
Lei et al. (2011) reported a 10-year longitudinal study in Beijing which revealed the dynamic
change of reading disabled children and their heterogeneous characteristics in development.
261 children were followed from 3 to 8 years old. They were administered 7 language and
cognitive skills (Compound awareness, Grammatical skill, Nonword repetition, Syllable
deletion, Morphological construction, Rapid automatized naming, Vocabulary definition)
between ages three and six, and then literacy skills (Character recognition, and Reading
fluency) were tested at age eight. Individual differences in developmental profiles across
tasks were estimated using growth mixture modeling which identified not only the
important early predictors but also different subgroups with different developmental
trajectories. The results showed that there were four developmental trajectories from ages
three to six years and two of them were identified as poor readers (see Figure 4).
Note: CA-Compound awareness, GS-Grammatical skill, NR-Nonword repetition, SD-Syllable deletion,
MC-Morphological construction, RN-Rapid automatized naming, VD-Vocabulary definition, CRCharacter recognition, and RF-Reading fluency (from Lei, 2008).
Fig. 4. Subgroup members’ average performance in the seven skills and in reading.
The initial level and subsequent growth on three deficits together (phonological awareness,
morphological awareness and rapid naming) from age three to six were best to predict their
reading difficulties at age eight. Early language deficits in addition to a combination of
deficits in phonological awareness, morphological awareness, and rapid naming might lead
to more severe reading problems for Chinese children. The results from the longitudinal
study support those from dyslexic and control group comparison studies (e.g., Shu et al.,
2006), suggesting that phonological awareness, morphological awareness, and rapid naming
should be simultaneously considered in Chinese, given the use of broad skills required to
learn to read this orthography.
24
Dyslexia – A Comprehensive and International Approach
4. Conclusions
In summary, the research confirmed some universal aspects of reading acquisition in
alphabetic languages and in Chinese. Just like in alphabetic languages, Chinese children
with dyslexia have mainly deficits in the accuracy and speed of character or word
recognition. Mastery of a writing system depends upon acquiring an adequate phonological
knowledge of the language, especially in early age. Phonological awareness and namingspeed are the two deficits shared by both dyslexic children in Chinese and in alphabetic
languages. The specific aspects of reading acquisition in Chinese are related with the
characteristic of Chinese language and orthography. It makes morphological and
orthographic awareness particularly important to consider in understanding Chinese
reading development and dyslexia. Furthermore, most of Chinese children with dyslexia
tend to have more than one kind of cognitive deficits. The longitudinal studies reveal that it
is possible to identify the school-age poor readers from early stage. The effective predictors
include phonological awareness, morphological awareness, rapid naming and oral
vocabulary.
In the future, more basic research is needed in order to understand further the cognitive
causes of reading failures of Chinese children and the underlying brain mechanism.
Although it has not been discussed in this chapter, systematic work is also needed to explore
the role of family and education environment on children’s reading acquisition and
dyslexia; With family’s support and better education environment, more effective
assessments could be developed, and early predictors for which children with dyslexia or
children at risk for dyslexia could be identified; and in turn better intervention programmes
for both preschool and school children could be developed, which could improve dyslexic
children’s reading ability and reduce the risk of the reading failures.
5. Acknowledgment
The research work was supported by a grant from the Natural Science Foundation of
China (30870758), by a grant from Fundamental Research Fund for the Central
Universities. It also was a part of a project of Beijing Key Lab of Applied Experimental
Psychology supported by the Beijing Educational Committee and Beijing Science and
Technology Committee.
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3
The Role of Phonological Processing in
Dyslexia in the Spanish Language
Juan E. Jiménez
University of La Laguna, The Canary Islands,
Spain
1. Introduction
This chapter presents theoretical arguments and empirical evidence to support the idea that
the phonological deficit in dyslexia in a language with a transparent orthography such as
Spanish is at the phoneme level in the phonological awareness continuum, suggesting that a
phonemic deficit is curtailing the development of phonological decoding. Results of two
studies are presented to demonstrate the role of phonological processing in dyslexia in the
Spanish language. The first study examines the dyslexic subtypes within the context of a
reading-level match in a transparent orthography. In this research we explored whether
developmental dyslexics form a homogeneous population, with a unique underlying
impairment, or whether they form distinct subgroups. The second study examines the
effects of a computer-assisted intervention designed to improve the visual word recognition
of Spanish-speaking children identified with a learning disability (LD).
The classical phonological explanation ascribes dyslexics’ reading deficit to a specific
cognitive deficiency in phonological processing, primarily, in phonemic awareness and in
phonological short-term memory.
Nevertheless, other current non-phonological explanations according to which dyslexics’
phonological deficit is secondary to more basic sensori-motor impairment: a deficiency in
either rapid auditory processing, or in the visual magnocellular pathway, or in motor skills
(see for a review, Sprenger-Charolles, Colé, & Serniclaes, 2006).
Deficits in phonological awareness have been identified as the critical factor underlying the
severe word decoding problems displayed by individuals with reading difficulties in
languages with an opaque orthography such as English (Goswami & Bryant, 1990). Studies
in English have found phonemic deficits in dyslexic children compared to children matched
by chronological age (CA) or by reading level (RL) (Olson, 1994). In addition, dyslexic
children appear to have more difficulty reading nonwords than nondisabled readers
matched in age or in reading level supporting the deficit model in phonological processing
(Rack, Snowling, & Olson, 1992). However, Goswami (2002, p. 150) suggests that “the
consistency of the phoneme-grapheme correspondences in languages with a transparent
orthography such as Spanish should facilitate the further development of both phonemic
awareness and grapheme-phoneme recoding skills. These skills would, therefore, be
expected to develop more slowly in dyslexic children learning to read in such consistent
orthographies, but they would not be expected to be massively disrupted”.
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Dyslexia – A Comprehensive and International Approach
However, empirical evidence in Spanish indicates that dyslexic children exhibit the same
difficulties in phonemic segmentation exhibited by older English dyslexic children (Jiménez,
1997). For example, Jiménez (1997) analyzed phoneme awareness within the context of a
reading-level match design, demonstrating a deficit in the Spanish reading disabled (RD)
children in phonemic tasks, but not in intrasyllabic tasks. In another study, Jiménez et al.
(2005) examined the effects of linguistic complexity (e.g., complexity in the syllable
structure) and task differences without taking into account verbal working memory. The
assumption was that if students, identified as dyslexic, performed worse in a phonemic task
compared to RL and CA matched children, the hypothesis of a phonemic deficit in
explaining dyslexia in a transparent orthography would be confirmed. Results indicated
that the complexity of the syllable structure had no particularly marked effect on the
dyslexic children. Rather, the isolation task revealed the phonological deficit across all
syllable structures.
Jiménez, García and Venegas (2008) examined whether phonological processes are the same
or different in low literacy adults and children with or without reading disabilities in a
transparent orthography. They selected a sample of 150 subjects organized into four
different groups: (1) 53 low literacy adults, (2) 29 reading disabled children, (3) 27 younger
normal readers at the same reading level as those with reading disabilities and low literacy
adults, and (4) 41 normal readers matched in age with the reading disabled group.
Phonological awareness tasks that included different complexities of the syllable structure
(e.g., words with CV and CCV structure) were administered. Results indicated that the
complexity of the syllable structure did not have a significant effect on low literacy adults.
These adults appear to experience more difficulty in deleting phonemes irrespective of the
complexity of the syllable structure.
Moreover, findings from studies that looked at whether phonological processes or lexical
processes differentiated Spanish readers with and without reading difficulties indicated that
the cause of the reading difficulties appeared to reside in the grapheme-phoneme
decomposition procedure than in the lexical processes (Domínguez & Cuetos, 1992; Jiménez
& Hernández-Valle, 2000; Rodrigo & Jiménez, 1999). This finding reinforces the hypothesis
that the basis of reading problems is a difficulty in phonological processing, indicating that a
lack of phonemic awareness is curtailing the acquisition of word recognition skill.
A major question posed by researchers relates to whether a major variable affecting the level
of difficulty in learning to read also depends on the transparency/opacity of the writing
system (e.g., Wydell & Butterworth, 1999). Specifically, the question relates to whether the
effect of the transparency/opacity of the writing system is not only quantitative, but also
qualitative. For instance, research indicated that English-speaking children perform reading
tasks worse than do children who speak Spanish, French or German. A plausible reason is
because the dissociation between sublexical and lexical procedures is greater for Englishspeaking children than for children who speak other languages. Sprenger-Charolles et al.
(2006) reviewed cross-linguistic studies and longitudinal studies that examined the stability
of dyslexic performance patterns across languages, and over time as reading develops.
Group studies, single case studies, and multiple case studies conducted in various
languages to evaluate the reliability and prevalence of the dyslexic performance pattern
were included in the review. Assessments to determine the lexical and sublexical routes
used both high frequency irregular word reading, and pseudoword reading. However, not
The Role of Phonological Processing in Dyslexia in the Spanish Language
31
all studies included a standard measure of lexical processing (i.e., irregular word reading)
because it is impossible to find enough irregular words in some of the languages (e.g.,
Spanish) included in the review. Findings indicated a higher incidence rate of phonological
dyslexia in English in comparison to other languages (e.g., Wydell & Butterworth, 1999;
Wydell & Kondo 2003) where researchers found a higher incidence of surface dyslexia. Note
that surface dyslexia is characterized by impaired orthographic skills and fairly wellpreserved phonological skills (Stanovich, et al., 1997b), while a phonological dyslexia is
characterized by impaired phonological skills and fairly well-preserved orthographic skills
(Castles & Coltheart, 1993; Manis, Seidenberg, Doi, McBridge-Chang & Petersen, 1996;
Stanovich, Siegel & Gottardo, 1997b).
Thus, studies that indicate the extent to which the dual-route hypothesis (i.e., differences
between phonological and surface dyslexia (e.g., Manis, et al, 1996; Stanovich, et al, 1997b) is
also applicable to languages with a transparent orthography, are still necessary. Moreover,
studies designed to demonstrate that the consistency of mappings from graphemes to
phonemes in different languages has a marked effect on the development of phonemic
awareness and of grapheme-phoneme recoding strategies in dyslexic children are necessary.
Two Spanish studies of dyslexic subtypes and computer-assisted practice on visual word
recognition are presented here to provide empirical evidence in favor of the deficit model in
phonological processing in a transparent orthography. Next we report results of the two
studies.
2. Study 1: Identifying dyslexic subtypes in a transparent orthography
A question posed by reading researchers is whether readers with developmental dyslexia
form a homogeneous group with a unique underlying impairment, or whether this group
actually consists of distinct subgroups. In English, research indicates the existence of two
distinct profiles of developmental dyslexia. In our own review of studies of dyslexic
performance patterns, we have found the opposite pattern when we reviewed studies
conducted in orthographies less opaque than English (e.g., Swedish: Wolff, 2009). These
discrepancies between the Spanish versus the anglophone or francophone studies may be
due to (a) linguistic factors, (b) the measures used, and (c) differences in the dyslexics’
chronological age. Given that grapheme-phoneme correspondences are more regular in
Spanish than in English and in French, Spanish-speaking dyslexics may manage to use the
sublexical reading route with less difficulty than English-speaking or French speaking
dyslexics. This could explain why fewer phonological dyslexics were found in languages
that are less opaque than English. A similar trend was observed when time measures were
used in Spanish or in French (Genard et al., 1998) suggesting that the phonological deficit of
Spanish-speaking dyslexics manifests itself as slow processing more than in accuracy.
The study presented here was first published by Jiménez and Ramirez (2002) and replicated
later by Jiménez, Rodríguez, and Ramírez (2009). It employed the same procedure used by
Castles and Coltheart (1993) for identifying dyslexic subtypes based on pseudoword and
irregular word reading. Given that Spanish does not have any irregular words, we
compared the reaction times (RTs) of students reading high frequency words and
pseudowords between the group of dyslexic children and the group of children similar in
chronological-age, and reading-level (RL).
32
Dyslexia – A Comprehensive and International Approach
Some difficulties have been encountered in research using traditional research designs. So,
for example, when reading-disabled subjects are matched in age with normal readers,
differences between the groups on non-reading measures have been presumed to reflect
deficits causally related to the reading failure of the reading-disabled group (Backman,
Mamem, & Ferguson, 1984). When two groups that have different reading levels are
compared, any differences found between them could be interpreted as a product rather
than as a cause of such differences (Bryant & Goswami, 1986). However, if the children are
at the same reading level, any differences between them cannot be attributed to one group
being more successful readers than the other group. However, as has been suggested by
Bryant and Goswami (1986) the studies that analyze correlates of reading disability should
involve a combination of reading level and chronological age matched groups. In the threegroup design, there are two control groups in addition to the target group, one for reading
level and one for chronological age. Thus, the paradigm allows not only comparison of
children of different chronological ages with the same reading level as in the two-group
approach, but also comparison within chronological age across reading levels. The addition
of the third group, i.e., chronological age controls, allows examination of differing
performance levels across two chronological age levels in normal children, as well as
relative performance within chronological age and reading level-matched groups (Backman
et al, 1984). As several authors have pointed out (Backman et al, 1984; Bryant & Goswami,
1986) positive results (a difference between reading disabled children and normal controls)
in experiments that use a reading level match allows us to conclude that the measure under
consideration is probably causally related to the reading disabilities. As has been suggested
by Manis et al. (1996), “the developmental forms result in patterns that are not observed in
normal readers at any age or level of reading acquisition – a deviant developmental pattern.
Another possibility is that a subgroup might lag in a broad spectrum of reading skills and
hence resemble younger normal readers – a developmental delay pattern” (p. 162).
Therefore, we conducted further exploration of the validity and reliability of the subgroup
assignments by examining the performance on phonological awareness tasks. We predicted
that if the subgrouping was valid, phonological dyslexics (Ph-Dys) should perform
relatively poorly on the phonological awareness tasks compared to younger normal readers,
supporting a specific deficit in phonological processing, whereas there should not be
differences on the phonological awareness tasks between surface dyslexics (S-Dys) and
younger normal readers.
2.1 Method
Participants. In the initial sample, teachers selected children who they believed were
normally achieving readers or were reading-disabled. We assessed these children with
different subtests of the Standardized Literacy Skills Test T.A.L.E. (Test de Análisis de
Lectoescritura; Toro & Cervera, 1980). The study employed a reading-level-match design
including three groups: (1) The reading-disabled sample consisted of 89 third-grade children
who achieved a performance below the grade 3 norms (i.e., two years) on each of the
subtests of TALE individually; (2) A control group of 37 normal readers matched in age with
the reading-disabled group; (3) A control group of 39 younger children at the same reading
level as the reading-disabled group. Both reading disabled and younger normal readers
were matched on each of the subtests of TALE individually (i.e., letter, syllable, and word
The Role of Phonological Processing in Dyslexia in the Spanish Language
33
reading) based on grade 1 norms. Normal readers matched in age achieved a performance
according to grade 3 norms.
Measures. We used three different phonological awareness tests (i.e., odd-word-out task,
phoneme segmentation and phoneme reversal). The Odd-word-out task was designed to test
the awareness of intrasyllabic units and was based on a similar measure by Bowey and
Francis (1991). The difference between the Bowey and Francis measure and ours was that
we used pictures. In the Phoneme segmentation test, children counted the phonemes of words
presented orally. Children were aloud to use aids such as rods to count the phonemes they
heard in words. In the Phoneme reversal test the children counted the phonemes of words by
reversing the order of segments in each word.
Procedure. We used the same regression-based procedure introduced by Castles and
Coltheart (1993) and used the same-aged normal readers’ performance to identify subtypes
of dyslexics. We used RTs to high frequency words and pseudowords, controlling for the
number of letters. That is, the RT for each stimulus (word and pseudoword) was divided by
the number of letters. We hypothesized that children who have greater RTs for familiar
word reading compared to RTs for pseudoword reading would have difficulties using a
lexical procedure to read words. On the other hand, children who would show longer
latencies for pseudoword reading as compared to familiar word reading would have more
difficulties in using a phonological route. To conduct this experiment, the program UNICEN
was designed and used together with a device that detected the sounds within the broad
band of the human voice but was not affected by the fairly high percentage of background
noise. High-frequency words used in the experiment were selected on the basis of ratings
generated from a normative study conducted by Guzmán and Jiménez (2001), who
employed a sample of 3,000 words obtained from different texts of children’s literature.
Word familiarity was measured using these authors’ procedure of frequency estimation,
which involved the separation of the 3,000 words into different sets. Each set was printed
and then different groups of 30 children rated each word on a 5-point scale, ranging from
least frequent (1) to most frequent (5). The estimated frequency was calculated for each word
by averaging the rating across all 30 judges. On the basis of these ratings, high-frequency
words were selected. Pseudowords were extracted from research by de Vega, Carreiras,
Gutiérrez, and Alonso-Quecuty (1990). The order of presentation of words and
pseudowords was counterbalanced. Items were presented in random order within each set.
In total, there were 32 words and 48 pseudowords.
Results. We carried out two different analyses: (1) a comparison of dyslexic subgroups to
the CA control group, and (2) a comparison of dyslexic subgroups to the RL control group.
The first analysis allows us to know how the performance of the dyslexic children differs
from normal readers of the same age (Manis, et al., 1996). The soft subtypes were defined by
running a regression line with 90% confidence intervals through the Word RTs x
Pseudoword RTs plot for the CA and RL control children. This regression line and
confidence intervals were then superimposed on the scatterplot of the performance of the
dyslexic sample. A surface dyslexic is a child who is an outlier when word RTs are plotted
against pseudowords RTs, but is within the normal range when pseudowords RTs are
plotted against words RTs. Ph-Dys are defined conversely.
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Dyslexia – A Comprehensive and International Approach
If we compare our results with the English and French studies, the percentage of dyslexic
subtypes were quite different. Table 1 shows the proportion of Ph-Dys and S-Dys identified
in our study and the proportion in other studies. Castles and Coltheart (1993) found 55% PhDys, Manis, et al. (1996) found 33.3% Ph-Dys, and Stanovich, et al. (1997b) found 25% PhDys in their samples. In our study, we found 18% Ph-Dys and 53% of S-Dys, a greater
proportion of S-Dys in comparison to Castles and Coltheart (30%), Manis, et al. (29%) and
Stanovich, et al. (22%). Similarly, Genard, et al. (1998) found 56% of S-Dys, and only 4% of
Ph-Dys. In general, controlling for CA, there were more Ph-Dys than S-Dys. Similarly,
compared to RL controls, there were more Ph-Dys readers than S-Dys; however, the S-Dys
profile almost disappeared.
On the other hand, in the Chinese orthography, Ho (2001) found that the incidence of S-Dys
and Ph_Dys differs. In general more Chinese dyslexic children have a surface dyslexia (26%)
than Ph-Dys (13%), ascertaining our assumption that phonological dyslexia appears to be
less common in Chinese than in English.
Studies
PD*
SD.*
D.D*.
ND.*
Variables
Castles & Coltheart. (1993)
55%
30%
6%
9%
Accuracy
Manis et al. (1996)
33%
29%
10%
28%
Accuracy
Stanovich et al. (1997)
25%
22%
28%
25%
Accuracy
4%
56%
3%
37%
Accuracy
Sprenger et al. (2000)
52%
32%
3%
13%
Reaction Times
Jiménez & Ramírez. (2002)
18%
53%
3%
26%
Reaction Times/number
of letters
Genard et al. (1998)
*(PD:phonological dyslexics, SD:surface dyslexics, DD: double deficits ND: non-deficit)
Table 1. Classification of dyslexics based on regression method on CA control group
The second analysis focused on whether the performance of dyslexics resembled the
performance of younger children learning to read at a normal rate (Manis, et al., 1996). RTs
of the dyslexics were plotted so as to identify phonological dyslexics (children with high
pseudoword RTs relative to word RTs). The Pseudoword RTs were plotted against the
Word RTs. The regression line and confidence intervals are based on the data from the 39 RL
controls. Overall, nineteen of the 48 surface dyslexics identified in the regression analysis for
the CA group fell below the confidence limit for the RL control group. In contrast, the same
20 phonological dyslexics were identical to those identified from the CA regression lines.
With regard to the validity of subtypes, three separate analyses of variance (ANOVAs) for
one factor (younger normal readers vs. phonological dyslexics vs. surface dyslexics) were
conducted using the number of correct responses on each of the three phonological
awareness tests as dependent variables. Bonferroni’s correction was used to determine the
acceptable alpha level for rejecting the null hypothesis.The ANOVA on the odd-word-out
task was significant [F (2, 104) = 9.48; p < .001]. A multiple comparison test indicated that
younger normal readers scored significantly higher than the phonological dyslexics (t = 4.50;
The Role of Phonological Processing in Dyslexia in the Spanish Language
35
p < .001) and surface dyslexics (t = 2.19; p < .05). The ANOVA on the phoneme
segmentation task revealed significant differences [F (2, 105) = 3.26; p < .05], and the test
indicated that the younger normal readers performed significantly better than the
phonological dyslexics (t = 2.56; p < .01) and surface dyslexics (t = 3.80; p < .001). The
ANOVA on the phoneme reversal revealed similar results [F (2, 105) = 5.95; p < .05]
indicating again that younger normal readers scored significantly higher than surface
dyslexics (t = 3, 84; p < .001) and phonological dyslexics (t = 3.72; p < .001).
2.1.1 Discussion
Studies in English have presented a consistent picture of developmental deviancy and
developmental lag that appears to characterize the phonological and surface subtypes (e.g.,
Manis, et al., 1996; Stanovich et al., 1997b). Phonological dyslexia reflected true
developmental deviancy. In contrast, surface dyslexia resembled a form of developmental
delay. In the Spanish studies (Jiménez, et al., 2002; Jiménez, et al., 2009) surface and
phonological subtypes both represent deviations from normal development. However, the
results of the phonological awareness tasks did not validate the division of the dyslexic
sample into these two subgroups. Both dyslexic subtypes exhibited significant discrepancies
between pseudoword and familiar word reading but they shared the same phonological
problems, because both performed more poorly than the younger children in analyzing the
phonemic structure of spoken words.
In another study, Jiménez et al. (2009) examined the prevalence, cognitive profile, and home
literacy experiences of dyslexic children with different subtypes in Spain. Just like in the
other study, we examined the response of three groups (a) a chronological-age-matched
group, (b) a reading-level control group, and (c) a dyslexic group. Using regression-based
procedures, the author identified 8 phonological and 16 surface dyslexics from a sample of
35 dyslexic 4th-grade children by comparing them to chronological-age-matched controls on
RTs for high frequency word and pseudoword reading. However, when the dyslexic
subtypes were defined by reference to reading-level controls, 12 phonological dyslexics
were defined but only 5 surface dyslexics were identified. Both dyslexic subtypes showed a
deficit in phonological awareness, but children with surface dyslexia also showed a deficit
in orthographical processing assessed by a homophone comprehension task. This deficit
was associated with poor home literacy experiences because the group of parents with
children matched in reading age, in comparison to parents with children with surface
dyslexia, reported more literacy home experiences.
Sprenger-Charolles, et al. (2000) found that the phonological impairment of the two dyslexic
groups was quite severe, since it emerged even relative to younger average readers.
Therefore, they suggested that these results are more in line with the hypothesis that a
phonological deficit is at the core of developmental dyslexia than with Castles and
Coltheart’s idea that a “clear double dissociation exists between surface and phonological
reading patterns” (1993, p. 174).
Recently, Sprenger-Charrolles, Siegel, Jiménez, and Ziegler (2011) carried out a review of
studies conducted in languages varying in the transparency of their orthography. They also
concluded that the regression-based method appears to result in less reliable subtypes
within and between languages.
36
Dyslexia – A Comprehensive and International Approach
In sum, we concluded that in a transparent orthography developmental dyslexics do form a
homogeneous population with a unique underlying phonological impairment.
3. Study 2: Computer speech-based remediation for reading disabilities in
Spanish dyslexics
An increasing number of researchers have used computers in experiments on the
remediation of reading disabilities (e.g., Jones, Torgesen & Sexton, 1987; Olofsson, 1992;
Olson & Wise, 1992; Torgesen & Barker, 1995; Van Daal & Reitsma, 1993; Van der Leij,
1994). It has been demonstrated that reading on the computer with speech feedback
significantly improved disabled reader’s phonological decoding and word recognition.
With regard to the best instructional intervention for remediating reading disabilities,
Swanson (1999) tested in his study whether certain models of instruction (e.g., direct
instruction, strategy instruction, etc.) have broad effects across word-recognition and
comprehension measures. He found that effect sizes were higher for word recognition
when studies included direct instruction. Moreover, studies of computer-aided
remediation for reading-disabled children demonstrated that word recognition skill
improved when different forms of orthographic units were manipulated (Olson & Wise,
1992). The study presented here was first published by Jiménez et al. (2003). We had
predicted that reading on the computer with speech feedback can provide a helpful
remedial tool for children with RD in a transparent orthography.
3.1 Method
Participants. A sample of 73 Spanish children was obtained ranging between 7 years 1
month and 10 years 6 months of age. Using the standard-score discrepancy method, the
children with reading difficulties were classified into two groups based on the difference, or
lack thereof, between their scores on the IQ test and their standard scores on the
Pseudoword subtest of the PROLEC (Cuetos, Rodríguez, & Ruano, 1996). Children were
classified as having dyslexia if their pseudoword standard score was more than 15 points
lower than their IQ score (N=14), and if their score on an IQ test was >80. Children were
considered poor readers if their pseudoword score was less than 15 points lower than their
IQ score (N=31), and if their score on an IQ test was >80. The overall sample was classified
into three different groups: (1) an experimental group of 14 dyslexics (8 male, 6 female) who
received computer-based reading practice; (2) an experimental group of 31 garden variety
poor readers (GV) (17 male, 14 female) who also received the same type of practice, and (3) a
control group of 28 reading-disabled children (20 male, 8 female) who did not receive
computer-assisted practice.
Measures. We used the Standardized Reading Skills Test PROLEC. This test includes
different reading subtests. We only administered the following subtests: (1) word reading,
(2) pseudoword reading, and (3) text comprehension. Word and Pseudoword reading
subtests required correct identification of ordinary words and pseudowords. Both subtests
are based on the accuracy of the responses. The comprehension subtest includes a short
story and questions which were given to the children after reading. We used the same
phonological awareness tests as in Study 1 (i.e., odd-word-out task, phoneme segmentation
and phoneme reversal).
The Role of Phonological Processing in Dyslexia in the Spanish Language
37
Procedure. All the tests were administered by psychologists in a random order, to avoid any
effect of the presentation of the material. Once the computer equipment was installed in the
schools, the children were randomly assigned to the experimental and control conditions.
We first carried out a general trial session, in which the children were trained in all of the
TEDIS (Tratamiento Experimental de la Dislexia = Experimental Treatment of Dyslexia)
program requirements. Once the treatment sessions started, the examiners were present just
to guarantee the optimal technical functioning of the program. The children came to the
computer room for 40 minutes per day during language arts time, to keep equivalent the
reading instruction time for experimental subjects and for matched untrained controls in the
same class. A core technical component in the TEDIS remedial program is the “talking”
computer, which gives support and feedback through digitized speech. The TEDIS program
provided feedback segmented into sub-word units (i.e., phonemes, syllables, onset-rime
segments) which were sequentially highlighted and spoken by the computer. All children
received orthographic and speech feedback that was presented in syllable or sub-syllable
units. In each session the words were presented on the center of the screen. These words
were pronounced by a professional speech trainer and recorded on tape in a studio.
First of all, the computer segmented the word into sub-word units whereas a woman’s voice
was pronouncing them. Children were asked to attempt to pronounce each segment before
clicking the mouse again to hear the speech support. Then, the subject had two options to
choose, clicking with the mouse: (1) to repeat the same task with the same sub-word units,
or (2) to pronounce the whole word. When the subject was able to pronounce the word
correctly, the subjects had to press the keyboard to obtain the next word. When speech
feedback was requested, the sub-word sound was immediately delivered through the
headphones. When the subject asked for speech feedback, only the relevant word was
presented on the screen. If the subject did not read the word, then he or she was asked to
repeat the task again by the examiner. Only when the child had three failures with the same
word, would the examiner press the keyboard and the presentation of a new word was
shown. Every eight stimuli the program asked a multiple-choice comprehension question.
Each child had to indicate with the mouse which of the pictures showed on the screen, was
related to the target word. The children were allowed to use the speech-feedback option.
Van Daal and Reitsma (1993) examined whether it is best to give feedback on all words or to
allow the disabled readers to choose. It was found that reading disabled children in the
intervention who were matched age did not learn less when the computer unsolicitedly
delivered the spoken form of all words than when they were allowed to choose. In addition,
the results of a series of small quasi-experimental studies indicated positive treatment
effects, in which the dyslexics who received computer training with speech feedback,
improved their performance in reading and spelling, compared to students who only had
access to conventional special education (Lundberg, 1995). Fifteen sessions were the total of
the TEDIS program. In each session, the reading materials consisted of 40 nouns and were
divided as a function of the different linguistic parameters into (a) word length (short vs.
long), (b) word frequency (familiar vs. nonfamiliar) and word linguistic structure
(consonant-vowel (CV) vs. consonant-consonant-vowel (CCV)). During the computer-based
word reading, we collected information about the number of accurately read words, number
of speech feedback, and reading time. The reading time of each stimulus was registered
given that the word appeared on the screen until the child pronounced it successfully.
38
Dyslexia – A Comprehensive and International Approach
Results
Pretest-posttest measures
A (3x2) Group (dyslexics, GV poor readers, control) x Moment (pretest, posttest) mixed
analysis of variance (ANOVA) was performed on the word recognition and phonological
awareness tasks. This analysis yielded a main effect of Time [F (1, 67) = 33.47; p<.001, MSE =
185.50, ES = .33]. In addition there was a significant interaction of Group x Moment [F (2, 67)
= 4.23; p < .019, MSE = 23.43, ES = .11]. Tests of simple main effect confirmed that there was
an improvement on word recognition in dyslexics [F (1, 67) = 23.2; p < .001, MSE = 128.57],
and in GV poor readers [F (1, 67) = 10.48; p < .05, MSE = 58.06]. Dyslexics’ baseline level was
lower than the other groups; however, they reached the same level of performance in post
test. Finally, there were no differences between pretest and posttest scores in the control
group [F (1, 67) = 2.63; p = .10, MSE = 14.58] (See Figure 1).
Word Reading
30
25
20
CG
15
DG
GVG
10
Pretest
Posttest
Note: CG = Control Group; DG = Dyslexic Group; GVG= GV Poor Readers Group.
Fig. 1. Interaction between Group and Moment on Word Reading
With regard to phonological awareness measures, both the main effects of Group, [F (6,128)
= .82, p <. 04, MSE = 146.56, ES = .09], and of Time, [F (3, 64) = .03, p < .001, MSE = 125.47, ES
= .96] were significant. Also, a Group x Time interaction was significant [F (6, 128) = 18.39, p
< .04, MSE = 4.0, ES = .09]. Subsequent tests of simple main effects confirmed that there were
differences in the posttest between GV poor readers, the control group [F (3, 64) = .85, p
< .01, MSE = 150.81], and GV poor readers and dyslexics [F (3, 64) = .87, p < .03, MSE =
125.43]. However, there were no differences between dyslexics and the control group at
posttest [F (3, 64) =.91, p = .14, MSE = 109.32]. Again, dyslexic’s baseline level was lower
than the other groups; however, they reached the same level of performance in post test.
Training sessions measures
A (2x2x15) Group (dyslexics, GV poor readers) x Word Frequency (familiar vs. nonfamiliar)
x Word Set (1 vs. 15) mixed analysis of variance (ANOVA) was performed on the number of
accurately read words, number of speech feedback, and reading time. A Group x Word
Frequency x Word Set interaction was significant [F (13, 767) = 2.11; p < .012, MSE = 36.72,
39
The Role of Phonological Processing in Dyslexia in the Spanish Language
Number of Accurately
Read Words
ES = .35]. Subsequent test of simple main effect revealed that reading time was greater for
dyslexics than for GV poor readers in nonfamiliar words during computer-based reading [F
(13, 767) = 8.36, p < .001, MSE = 742.62]. A (2x2x15) Group (dyslexics, GV poor readers) x
Word Length (short vs. long) x Word Set (1 vs. 15) mixed analysis of variance (ANOVA) was
performed on the number of accurately read words, number of speech feedback, and
reading time. There was a significant Group x Length x Word Set interaction [F (11, 561) =
3.21; p < .001, MSE = .68, ES = .28] when we analyzed the number of accurately read words.
Subsequent test of simple main effect revealed that the dyslexic group was more affected by
long words during computer-based reading [F (11, 561) = 5.50, p < .001, MSE = 1.17] (see
Figure 2).
20
19
DG Long
GVG Long
18
DG Short
GVG Short
17
Word Set
Fig. 2. Interaction between group and word length and word set on the number of
accurately read words. DG = long words for dyslexia group; GVC Long = long words for
garden-variety poor readers’ group; DG Short = short words for dyslexia group; GVG Short
= short words for garden-variety poor readers’ group.
3.1.1 Discussion
As suggested by Swanson (1999, p. 504) “there have been conceptual shifts regarding what
underlies reading problems in children with LD, which in turn raised questions about the
best instructional intervention for remediating such problems”. Nowadays, there is
consensus that many cases of reading disabilities are caused by difficulties in the visual
word recognition. The majority of recent research suggests that word identification problems
are basically phonological route problems (e.g., Olson, Kliegl, Davidson & Foltz, 1985;
Perfetti, 1985; Rack, Snowling & Olson, 1992; Van Den Bos & Spelberg, 1994; Wagner &
Torgesen, 1987). As reviewed above, many studies carried out in opaque orthographies
using the Reading Level (RL) match design have found empirical evidence in favor of the
deficit model in phonological processing, because dyslexics have more difficulty in reading
nonwords than normal readers matched in age or in RL (Olson, Wise, Conners, Rack &
Fulker, 1989; Stanovich & Siegel, 1994). Moreover, some empirical evidence exists that in
languages with a transparent orthography, in which the reading disabled show severe
difficulties in the use of the phonological route as they do in the English language (e.g.,
Jiménez, 1997; Jiménez & Hernández-Valle, 2000; Jiménez & Ramírez, 2002; Jiménez, et al.,
40
Dyslexia – A Comprehensive and International Approach
2009), suggesting that a phonemic deficit is curtailing the development of phonological
decoding. In addition, the degree of phonological reading deficit is not related to the degree
of discrepancy between reading and IQ (for a review see, Stanovich & Siegel, 1994).
The results of this study indicated that computer-assisted practice proved to be as beneficial
to the GV poor reader group as for the dyslexic group. We found that reading-disabled
children with and without IQ-achievement discrepancy improved their performance on
word reading, in comparison to the control group. Nevertheless, dyslexics had more
difficulties than GV poor readers during computer-based word reading under conditions
that required extensive phonological computation because they were more affected by low
frequency words and long words. For another study, Jiménez et al. (2007) assessed the
effects of four reading-training procedures for children with reading disabilities (RD) in
Spain, with the aim of examining the effects of different spelling-to-sound units in computer
speech-based reading. A sample of 82 Spanish children ranging between 7 years 1 month
and 10 years 6 months, and whose pseudoword reading performance was below the 25th
percentile and IQ >90 were selected. The subjects were randomly assigned to five groups: (1)
the Whole-Word training group (WW) (n=16), (2) the Syllable training group (S) (n=16), (3)
the Onset-Rime1 training group (OR) (n=17), (4) the Phoneme training group (P) (n =15),
and (5) the untrained control group (n= 18). Children were pre- and post-tested in word
recognition, reading comprehension, phonological awareness, and visual and phonological
tasks. Results indicated that experimental groups who participated in the phoneme and
whole-word condition improved their word recognition compared to the control group. In
addition, dyslexics who participated in the phoneme, syllable and onset-rime conditions
applied for more number of calls during computer-based word reading under conditions
that required extensive phonological computation (low frequency words and long words).
However, reading time was greater for long words in the phoneme group during computerbased reading. The authors concluded that reading on the computer with speech feedback
can provide a helpful remedial tool for children with RD in a transparent orthography.
Regarding the best instructional intervention for remediating reading disabilities, Swanson
(1999) tested in his study whether certain models of instruction (e.g., direct instruction,
strategy instruction, etc.) have broad effects across word-recognition and comprehension
measures. He found that effect sizes were higher for word recognition when studies
included direct instruction. Additionally, an increasing number of researchers have used
computers in experiments on the remediation of reading disabilities (e.g., Jones, Torgesen &
Sexton, 1987; Olofsson, 1992; Olson & Wise, 1992; Torgesen & Barker, 1995; Van Daal &
Reitsma, 1993; Van der Leij, 1994). It has been demonstrated that reading on the computer
with speech feedback significantly improved disabled reader’s phonological decoding and
word recognition. Moreover, studies of computer-aided remediation for reading disabled
children demonstrated that word recognition skill improved when different forms of
orthographic units were manipulated (Olson & Wise, 1992).
In the teaching of reading, children can be trained on the print-to-sound translation by using
linguistic units of different sizes: a word can be taught as a whole unit, in individual lettersound units, or in sublexical units of intermediate size (syllable, BOSS, onset-rime).
1 The syllable in Spanish consists of an ‘onset’ (initial consonant or cluster) plus a ‘rime’ (vowel and any
following consonants).
The Role of Phonological Processing in Dyslexia in the Spanish Language
41
However, the spelling-to-sound unit used in training may be a critical factor in determining
the effectiveness of remedial instruction for RD. Consequently, various remedial studies
carried out in English have tried to determine which is the size of the spelling-to-sound unit
more optimal for computer speech-based training of RD (e.g., Lovett, Barron, Forbes,
Cuksts, & Steinbach, 1994; Olson & Wise, 1992). For Spanish, the Syllable and Onset-Rime
condition did not contribute to improve phonological decoding. This finding is not
surprising because this type of units does not seem to be as relevant in a language where a
direct correspondence between graphemes and phonemes does exist, and where the syllable
boundaries are well defined. Therefore, Jiménez et al (2003) suggested that in a transparent
orthography such as Spanish, remedial education may be more successful if it concentrates
on the phoneme level more than on onset-rime units, in contrast to what has been suggested
by Treiman (1992) in the English language. The improvements in the Phoneme group
support the idea that the phonemic level plays an important role in dyslexia in a transparent
orthography as Spanish. By forcing attention to individual letters within the word and with
the speech feedback at the same time during the training, could provide the basis to
improve phonemic segmentation skills, and promoting the grapheme-phoneme
correspondences, an ability that is not achieved by the severe RD children. In relation to the
Whole Word condition, interestingly, this unit also benefited word recognition ability. A
possible explanation for this finding has to do with the fact that the dual route model of
reading is functional in Spanish despite its orthographic transparency by which, in
principle, all the words could be read by the phonological route. Some empirical data
support the functionality of both routes in Spanish children (Defior, Justicia & Martos, 1996;
Valle-Arroyo, 1989), suggesting no differences between the processes involved in the
reading of Spanish and those implicated in opaque orthographies, such as English. In this
sense, it is important to note that children who participated in this study were between 7-10
years old, an age in which we would expect the use of the orthographic routine of reading.
The reason for the gains after treatment within this experimental condition may be
explained by the fact that children could place their attention on the whole word present on
the computer screen with the phonological speech feedback. This connection between the
word and its individual sounds may have enhanced the connections between their
orthographic and phonological forms.
4. Concluding discussion
Wydell and Butterworth (1999) suggested that the effect of a phonological deficit on reading
depends on the transparency of the orthography. Probably the most likely source of these
difficulties is a deficit in representing phonological information at earlier developing levels
of phonology: the syllable, onset, and rime. Goswami (2002) suggested that syllabic
representation is basic to many languages, and that children’s ability to recognize syllables
and rhymes precedes learning a particular spelling system. This developmental view can
readily explain cross-language differences in reading acquisition, and it can also explain
cross-language differences in the manifestation of developmental dyslexia (see also Wydell
& Butterworth, 1999; Wydell & Kondo, 2003 for a similar conclusion). Some of the processes
underpinning language acquisition are disrupted in developmental dyslexia leading to
deficits in the development of a phonological representation of words before literacy is
acquired. According to this theoretical analysis, dyslexic children in all languages appear to
have a phonological deficit at the syllable and rhyme levels prior to acquiring literacy. This
42
Dyslexia – A Comprehensive and International Approach
deficit leads to problems in acquiring letter-sound relationships and in restructuring the
phonological lexicon to represent phoneme-level information.
Some linguists have suggested that different phonological units exist in the Spanish
language (i.e., syllable, onset and rime). Jiménez and Ortiz (1993) designed a study to
verify whether or not such linguistic realities are psychological realities as has been found
in the English language. The results obtained suggested that children at the pre-reading
stage are more sensitive to syllabic units, than to instrasyllabic and phonemic units.
Moreover, they demonstrated that good readers did not differ from disabled readers and
non readers at the syllabic awareness level, but they had higher levels of instrasyllabic
awareness, and phonemic awareness. In languages like Spanish, onset-rime segmentation
is equivalent to phonemic segmentation for many words (e.g., for a word like “loro”, the
onset-rimes are /l/ /O/ /r/ /O/ and so are the phonemes). In fact, Spanish children with
reading disabilities do not use correspondences based on higher level units as onsets and
rimes in visual word recognition (Jiménez, Alvarez, Estévez & Hernández-Valle, 2000).
Goswami (2002) also suggested that dyslexic children learning to read in languages with a
simple syllabic structure would probably have less difficulty in the acquisition of
grapheme-phoneme recoding strategies. However, in the first study presented here both
Spanish dyslexic subtype samples were impaired as a group relative to the CA group on
phonological awareness tasks analyzed. Both dyslexic subtypes performed significantly
worse than the RL group on the measures of phonological awareness suggesting that a
phonemic deficit is curtailing the development of phonological decoding. We replicated
the finding of a dyslexic deficit in an RL match that we found for previous studies
conducted in a transparent orthography (i.e., Spanish) (Jiménez, 1997; Jiménez &
Hernández-Valle, 2000).
On the other hand, Stanovich et al. (1997b) suggested that surface dyslexia may arise from a
milder form of phonological deficit than phonological dyslexia; this type of difficulty could
be influenced by the orthographic peculiarities of the language. We suggested that in a
transparent orthography the difficulties with the phonological processing emerge more
clearly, especially in surface dyslexia. Therefore, we suggest that the existence of dyslexic
subtypes could be a consequence of the differences in the orthographic systems.
We would like to conclude this section by pointing out that in studies employing accuracybased measures of subtypes, the subjects have been selected on the basis of accuracy-based
reading scores (Jiménez, 2010). But there is a pool of subjects who might have met ratebased but not accuracy-based criteria for inclusion in a dyslexia study. We do not know
what kinds of cognitive and reading profiles rate-disabled children would show, because
they are typically not included in subtype studies in English. Until these children are tested,
it may be premature to argue that there are differences in the incidence of various subtypes
across orthographies. The difference might be due to the accuracy vs. rate criterion of
selecting subjects, rather than differences in the orthography, although both could be factors
that affect the identification of a reading disability. Consequently, this issue is open to
debate and it is exemplified by observations made by Share (2008): ‘it remains to be seen to
what extent the classic dual-route distinction between phonological and surface dyslexia, a
purely accuracy-based dichotomy, relates to accuracy/speed differences, particularly in the
case of more conventional (i.e. transparent) orthographies’.
The Role of Phonological Processing in Dyslexia in the Spanish Language
43
Empirical evidence indicates that computer-assisted practice can improve word recognition
for reading disabled children compared to a control group. However, we also found that the
performance of dyslexic children during computer-based word reading was also affected by
low frequency words and long words.
To conclude, the research findings presented here provide empirical support to the
hypothesis based on a phonemic deficit in dyslexia in a transparent orthography. Moreover,
the research findings demonstrate that reading by the computer with speech feedback may
constitute a helpful remedial tool for children with RD. Consequently, both studies reported
here provide empirical evidence about the role of phonological processing in dyslexia in the
Spanish language, consistent with other multiple case studies.
The origin of this phonological deficit in developmental dyslexia is also open to debate.
Sprenger-Charolles et al. (2006) examined the classical phonological explanation that
ascribes dyslexics’ reading deficit to a specific cognitive deficiency in phonological
processing, primarily in phonemic awareness and in phonological short-term memory. They
also examined the current non-phonological explanations that assume that the phonological
deficit of dyslexics is secondary to more basic sensori-motor impairment: a deficiency in
either rapid auditory processing, or in the visual magnocellular pathway, or in motor skills.
The authors show why perceptual explanations of dyslexia should be based on alternative
perceptual modes rather than on deficits, and they place the perceptual explanation in the
framework of a three-stage model of speech perception. They argue that dyslexics’
phonological deficits are secondary to more basic sensori-motor impairments. Overall, they
concluded that the non-phonological explanations are rather weak, and they propose a new
phonological explanation for dyslexia, based on a specific mode of speech perception. In
sum, “allophonic perception offers a new perspective in the study of dyslexia. Therefore,
further research is necessary to gain a better understanding of the way dyslexics perceive
speech, and especially how they segment the speech stream. While allophonic theory
constitutes a first step in this direction, it still has to be articulated with other dimensions of
language processing” (p. 172).
5. Acknowledgment
This manuscript has been supported by a grant from Ministerio de Asuntos Exteriores y de
Cooperación, AECID, number C/030692/10, Spain. We are grateful to Doris Baker for her
careful editing and for the many invaluable corrections she proposed, both in content and
on technical and stylistic matters. Correspondence should be addressed to Juan E. Jiménez,
Departamento de Psicología Evolutiva y de la Educación, Universidad de La Laguna,
Campus de Guajara, 38200 Islas Canarias, España. Electronic mail may be sent to
ejimenez@ull.es
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Wagner, R.K., & Torgesen, J.K., (1987). The nature of phonological processing and its causal
role in the acquisition of reading skills. Psychological Bulletin, 101, 192-212.
Wydell, T.N. & Butterworth, B.L. (1999). A case study of an English-Japanese bilingual with
monolingual dyslexia. Cognition, 70, 273–305.
Wydell, T. N., & Kondo, T. (2003). Phonological deficit and the reliance on orthographic
approximation for reading: A follow-up study on an English-Japanese bilingual
with monolingual dyslexia. Journal of Research in Reading, 26, 33–48.
4
Phonological Restriction Knowledge in
Dyslexia: Universal or Language-Specific?
Norbert Maïonchi-Pino
Tohoku University, Institute of Development, Aging and Cancer,
Department of Developmental Cognitive Neuroscience &
Department of Functional Brain Imaging, Sendai,
Japan
1. Introduction
Developmental dyslexia is the most studied and well-documented of the specific learning
disabilities in school-age children across languages, which reaches from 5-to-17.5%
individuals (e.g., Shaywitz & Shaywitz, 2005; Snowling, 2001). There is now a consensus that
developmental dyslexia stems from a genetic neurodevelopmental disorder that does not
depend on inadequate intellectual or educational backgrounds (e.g., Lyon, Shaywitz, &
Shaywitz, 2003; Sprenger-Charolles, Colé, Lacert, & Serniclaes, 2000; Vellutino, Fletcher,
Snowling, & Scanlon, 2004). There is considerable evidence for a phonological deficit as the
major correlate of language disabilities in dyslexia, which underpins the cognitive disorder
(e.g., Ramus, Rosen, Dakin, Day, Castellote, White, & Frith, 2003; Ziegler & Goswami, 2005).
However, an outstanding, long-lasting question that remains unclear, even unanswered, is
what underlies the phonological deficit in dyslexia (e.g., Ramus, 2001). Three main
directions have been proposed to account for the phonological deficit: 1) limited
phonological short-term memory; 2) degraded, under-specified or, conversely, overspecified phonological representations; 3) speech perception disorders. However, the
degraded, under-specified phonological representation hypothesis that is basically referred
to accounts for the dyslexics’ phonological deficit has been recently challenged: it has been
suggested that the dyslexics’ phonological deficit relies on difficulties to store, access, and
retrieve the phonological representations (e.g., Ahissar, 2007; Ramus & Szenkovits, 2008;
Szenkovits & Ramus, 2005). To date, to reconcile both views, it has been proposed that the
phonological deficit results in multi-dimensional difficulties that include difficulties to learn
and manipulate the speech units as well as difficulties to store, access, and retrieve the
phonological representations (e.g., Snowling, 2001; Ziegler, Castel, Pech-Geogel, George,
Alario, & Perry, 2008). Despite this tentative proposal, there is no consensus. Here, I propose
to draw an up-to-date portrait of an alternative option that has not been studied so far to
disentangle whether another possible source of the phonological deficit in dyslexia may be
envisaged: Are dyslexics sensitive to universal phonological knowledge?
2. On the possible origins of the phonological deficit
Overall, what the past studies have revealed is that the phonological deficit has no clear-cut
well-specified origins. Within the phonological deficit hypothesis, typically, it has been
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Dyslexia – A Comprehensive and International Approach
suggested that the core deficit children face is rooted in degraded, under-specified
phonological representation (e.g., Boada & Pennington, 2006; Elbro & Jensen, 2005;
Snowling, 2001).
In a non-negligible proportion, dyslexics’ phonological deficit originates in impairments to
process auditory information (i.e., ≈ 50%; Ramus et al., 2003). Typically, to account for the
degraded nature of the phonological representations, it has been hypothesized that the
dyslexics’ perceptual system could not turn to be attuned to the native phonemic categories
as shown with impairments in categorical perception (e.g., Adlard & Hazan, 1998; Mody,
Studdert-Kennedy, & Brady, 1997; Veuillet, Magnan, Écalle, Thai-Van, & Collet, 2007). The
categorical perception refers to the tendency to perceive a sound as a member of a category
(e.g., /b/ or /p/). Thus, the variants of the same phoneme within a category are more likely
perceived as being similar to each other compared to phonemes from other categories (i.e.,
/bh/ is more likely judged as similar to /b/ than /p/ while /ph/ is more likely judged as
similar to /p/ than /b/. Scientifically-speaking, the categorical perception can be described
as “the degree to which acoustic differences between variants of the same phoneme are less
perceptible than differences of the same acoustic magnitude between two different
phonemes” (Serniclaes et al., 2004, p. 337). Indeed, dyslexics have been shown to be
impaired the processing of relevant acoustic-phonetic characteristics in their native
language such as the voicing (e.g., /ba/ - /pa/; Bogliotti, Serniclaes, Messaoud-Galusi, &
Sprenger-Charolles, 2008; Hoonhorst, Colin, Markessis, Radeau, Deltenre, & Serniclaes,
2009; Serniclaes, Sprenger-Charolles, Carré, & Démonet, 2001; Serniclaes, van Heghe,
Mousty, Carré, & Sprenger-Charolles, 2004). Lower performances in between-categories
perception but higher performances in within-categories perception compared to both
chronological age-matched and reading level-matched controls have been interpreted as an
allophonic mode of speech perception1. In other words, dyslexics have difficulties to
discriminate two phonemes that belong to two different categories as determined by the
voicing (i.e., /ba/ vs. /pa/; low between-boundaries performance) whereas they can
discriminate two variants of a same phoneme even if one of the variant does not exist in the
native language (e.g., /p/ and /ph/; high within-boundaries performance). Hence,
dyslexics’ phonological representations would be over-specified since dyslexics would
maintain acoustic-phonetic contrasts that are irrelevant in their native language and should
be deactivated early in life (e.g., Saffran, Werker, & Werner, 2006; Werker & Tees, 1984). To
be unable to discriminate relevant acoustic-phonetic duration-based contrasts in their native
language (i.e., voicing; e.g., /b/ vs. /p/) would induce degraded, under-specified
phonological representations and subsequent difficulties to use grapheme-to-phoneme
correspondences (e.g., Bogliotti et al., 2008; Serniclaes et al., 2004). Alternatively, the
phonological deficit could stem from difficulties in the time-course aspects of pre-lexical
phonetic-phonological processing rather than from impaired phonological-lexical
representations (e.g., Blomert, Mitterer, & Paffen, 2004; Nittrouer, 1999).
To determine whether the dyslexic’s perceptual system is tuned to process finely-sharpened
universal phonological representations (i.e., sound sequences that respect or not the
An allophone is a contextual variant of a same phoneme which may be not distinguished within a
same phonemic category (e.g., /r/ and /ʁ/ in French). For instance, in French, replacing /r/ with /ʁ/
in /pri/ ‘price‘ will not change its meaning while replacing /r/ or /ʁ/ with /l/ will, i.e., /pli/ ‚
wrinkle‘. Allophones are language-dependent.
1
Phonological Restriction Knowledge in Dyslexia: Universal or Language-Specific?
49
universal phonological well-formedness), I here envisage the universal phonological
sonority-related markedness to provide further arguments on the origin of the dyslexics’
phonological deficit: universal or language-dependent and degraded/under-specified
phonological representations or difficulties to access them?
3. Why the phonological grammar is of interest?
3.1 A phonological grammar?
Native phonological knowledge includes a phonological grammar that embeds languagespecific phonemes and phonotactic restrictions that constrain the co-occurrence of sound
sequences to perceive and produce sentences (e.g., de Lacy, 2007). In normally-developing
newborns and adults, this is a well-known phenomenon that listeners tend to misperceive
and repair phonotactically-illegal sound sequences in their native language. Given that the
perceptual system becomes, early-on, attuned to sounds and phonotactic restrictions
relevant to the native language (e.g., Jusczyk, Friederici, Wessels, Svenkerud, Jusczyk, 1993;
Kuhl, Andrusko, Chistovich, Chistovich, Kozhevnikova, Ryskina, Stolyarova, Sundberg,
Lacerda, 1997), it has been argued that the perceptual repair could result from: 1) a
perceptual assimilation of acoustic-phonetic properties of nonnative sound sequences into
native ones or to the phonetically-close ones (e.g., /dla/ in /gla/; in English: Best, 1995; in
French: Hallé, Seguí, Frauenfelder, & Meunier, 1998); 2) a compensation for coarticulation
since sound sequences such as /dla/ are more difficult to perceive and articulate than /gla/
(e.g., Wright, 2004); 3) a perceptual fit to the phonotactic probablities (e.g., Bonte, Mitterer,
Zellagui, Poelmans, & Blomert, 2005); 4) an illusory epenthetic vowel; an epenthesis may be a
consonant or a vowel present in the phoneme inventory of a target-language, which is
inserted to restore a native phonotactically-legal sound sequence (e.g., /dəl/ in English:
Berent, Steriade, Lennertz, & Vaknin, 2007; /buz/ in Japanese: Dupoux, Kakehi, Hirose,
Pallier, & Mehler, 1999; /dil/ in Portuguese: Dupoux, Parlato, Frota, Hirose, & Peperkamp,
2011). However, in dyslexic adults or children, data remain rare, and focus on phonotactic
probabilities (e.g., Bonte, Poelmans, & Blomert, 2007) or, recently, on compensation for place
assimilation (e.g., Marshall, Ramus, & van der Lely, in press) and voicing assimilation (e.g.,
Szenkovits, Darma, Darcy, & Ramus, submitted). Ramus and collaborators thus showed that
French dyslexics assimilated phonotactically-illegal sound sequences into phonotacticallylegal ones to the same extent as controls. This suggests that dyslexics are able to normally
acquire native phonological grammar, and questions the degraded phonological grammar
and representations (for counter-arguments, see Bonte et al., 2007).
3.2 An unexplored alternative
As hypothesized within the Optimality Theory framework (Prince & Smolensky, 1993; 1997;
2004), sound sequences that are phonotactically-illegal clusters such as /ʁb/ are more likely
rejected compared to phonotactically-legal clusters such as /bʁ/ since all speakers are
supposed to have universal phonological knowledge on grammatical restrictions
irrespective to their (acoustic-)phonetic properties and phonotactic probabilities. However,
whether dyslexics have universal phonological knowledge on grammatical restrictions
remain unexplored.
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Dyslexia – A Comprehensive and International Approach
3.2.1 Phonological markedness and sonority profile
Phonotactic restrictions straightforwardly rule how sound sequences co-occur. It has been
shown that sound sequences depend on the sonority of phonemes (e.g., Clements, 1990).
Sonority is a scalar acoustic-phonetic property that refers to the sound’s “[…] loudness
relative to that of other sounds with the same length, stress, and pitch” (Ladefoged, 1975, p.
221). Under this definition, Fig. 1 presents that sonority hierarchically ranks consonants
from the high-sonority phonemes (i.e., from liquid to nasal) to low-sonority ones (i.e., from
fricative, /f/, /z/, /ʃ/… to occlusive, /b/, /t/, /g/…). Also, the linguistic structures are
supposed to conform to a sonority-based organization as proposed by the sonority sequencing
principle (e.g., Clements, 1990; Selkirk, 1984): syllables favor a structure with an onset
maximally growing in sonority towards the vowel and falling minimally to the coda. Hence,
universally-optimal CV syllables that bear high-sonority onsets (e.g., /la/) tend to be
avoided in the phonotactics of languages to favor low-sonority ones (e.g., /ta/) whereas, in
syllables that do contain a coda, high-sonority codas (e.g., /al/) tend to be preferred to lowsonority ones (e.g., /at/; see Selkirk, 1984). Using a sonority-based distribution of syllables
which combines the sonority and the sonority sequencing principle, it is possible to assess
the universal phonological knowledge on grammatical restrictions.
Fig. 1. Sonority scale adapted from Clements (1990) and Selkirk (1984).
3.2.2 Sonority-related markedness as a universal phonological knowledge
As proposed within the Optimality Theory framework (Prince & Smolensky, 1993; 1997;
2004), all listeners undergo universal markedness and faithfulness constraints. Markedness
constraints are phonological grammatical restrictions that disfavor some grammatically illformed structures (e.g., /ʁb/) whereas faithfulness constraints are constraints that require
mapping the input to the output (e.g., mapping the input /ʁb/ to the output /ʁb/). If the
input is grammatically well-formed (e.g., /bʁ/), its acoustic-phonetic properties are
faithfully encoded and mapped to the output /bʁ/. But, if the input is grammatically illformed (e.g., /ʁb/), the input fails to be faithfully encoded and mapped to the output /ʁb/.
Accordingly, a grammatically ill-formed input is recoded as a grammatically well-formed
output that could trigger a perceptual confusion (e.g., the insertion of an illusory vowel; i.e.,
an epenthetic vowel such as /ə/). In the view of the Optimality Theory (Prince &
Smolensky, 1993; 1997; 2004), universal low-frequency structures -the grammatically illformed ones- (e.g., /ʁb/) that transgress markedness constraints are labeled as marked
whereas universal high-frequency structures -the grammatically well-formed ones- (e.g.,
/bʁ/) are labeled as unmarked. Thus, onset clusters with a sonority high-rise (e.g., /bʁ/, s =
+3) are less marked than onset clusters with a sonority low-rise (e.g., /sm/, s = +1), which
are less marked than onset clusters with a sonority plateau (e.g., /kb/, s = 0). Then, onset
Phonological Restriction Knowledge in Dyslexia: Universal or Language-Specific?
51
clusters with a sonority plateau are less marked than onset clusters with a sonority low-fall
(e.g., /ft/, s = -1), which are less marked than onset clusters with a sonority high-fall (e.g.,
/ʁb/, s = -3). Hence, monotically, markedness increases and well-formedness decreases
from sonority high-rise (unmarked structures) to sonority high-fall (marked structures).
4. The present study
As I mentioned above, there is plenty of work to refine our understanding of where the
phonological deficit comes from. Does the phonological deficit arise from degraded, underspecified phonological representations? If the phonological representations are intact, do
dyslexic children have intact universal phonological representations? To provide innovative
arguments in speech perception in dyslexia, I designed a preliminary syllable count task to
pit the universal phonological knowledge on grammatical restrictions in French dyslexic
children. I tested the (mis)perception of marked, grammatically ill-formed unattested onset
clusters in French dyslexic compared to chronological age-matched controls and reading
level-matched controls. Children were aurally-administered monosyllabic C1C2VC3
pseudowords (e.g., /pkal/) and their disyllabic C1uC2VC3 counterparts (e.g., /pukal/). All
C1C2 clusters within monosyllabic pseudowords were constructed by splicing out the /u/.
Onset clusters (C1C2) were classified as high-fall, low-fall, plateau, low-rise or high-rise.
Given the markedness constraints (i.e., avoid marked, grammatically ill-formed outputs
such as /ʁb/) and the faithfulness constraints (i.e., map the input /ʁb/ to the output /ʁb/),
the misperception of C1C2 clusters should increase as markedness increases. Hence, if
perceptual confusion depends on universal markedness-related knowledge as determined
by sonority profiles, /gmal/ (high-rise SP, the most marked) should be more misperceived
as disyllabic than /pkal/ (plateau SP), which in turn, should be more misperceived than
/ʁbal/ (high-fall SP, the least marked) in both chronological age-matched and reading levelmatched controls. However, since dyslexics are supposed to have degraded, underspecified phonological representations, phonological sonority-related markedness effects
and phonological repair with an illusory epenthetic vowel should not be observed.
5. Experiment 1
5.1 Method
5.1.1 Participants
Five French dyslexic children with no comorbid attention deficit hyperactivity disorder
(ADHD) were tested in this experiment. Dyslexic children were compared to five
chronological age-matched controls and five reading level-matched controls. Control
children were recruited from an urban public elementary school. All children were tested
after parents returned a consent form. Dyslexic children were diagnosed as dyslexics around
two years prior this experiment (M = 29 months; SD = 4 months) by a speech and language
therapist. All children were French native speakers with no second language learning,
middle class, and right-handed2. They reported no hearing disorders. Reading level and IQs
Children’s right-handedness was assessed with the Edinburgh Handedness Inventory (Oldfield, 1971)
and all scored between +0.80 and +1.
2
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Dyslexia – A Comprehensive and International Approach
were assessed prior to the experiment. Student t tests confirmed that verbal and
performance IQs significantly differed between dyslexics and chronological age-matched
controls, t(8) = -3.96, p < .005, t(8) = 3.10, p < .02 respectively; they also differed on reading
level, t(8) = 9.09, p < .0001, but did not differ on chronological age, p > .1. Chronological age
significantly differed between dyslexic children and reading level-matched controls, t(8) =
8.71, p < .0001; neither reading level nor verbal and performance IQs significantly differed, p
> .1.Chronological age as well as reading level and verbal IQ significantly differed between
chronological age-matched and reading level-matched controls, t(8) = 8.92, p < .0001, t(8) =
10.56, p < .0001, t(8) = 2.33, p < .05, respectively. Difference was marginally significant for the
performance IQ, t(8) = 2.01, p < .08. Our research was approved by the Regional School
Management Office. Profiles are presented in Table 13.
Table 1. Chronological and reading level ages, range, verbal and performance IQs for
dyslexic children, chronological age-matched, and reading level-matched controls.
5.1.2 Stimuli
Forty stimuli were selected. They were twenty monosyllabic C1C2VC3 pseudowords and
their disyllabic C1uC2VC3 counterparts, which shared their VC3 rhyme (i.e., /al/) but
differed on the structure of their C1C2 clusters (Table 2). Onset clusters were unattested in
French. I subdivided them into five sonority profiles (SPs) as follows: high-fall (e.g., /ʁbal/),
low-fall (e.g., /fkal/), plateau (e.g., /pkal/), low-rise (e.g., /kfal/), and high-rise (e.g.,
/zʁal/). Onset cluster markedness progresses from high-fall SPs (the most marked, the
grammatically worst ill-formed) to high-rise SPs (the least marked, the grammatically most
well-formed). Each SP contained four different C1C2 clusters, repeated eight times within
each SP; overall, there were 4 C1C2 x 5 SPs x 8 repetitions x 2 conditions (mono- and
disyllabic pseudowords) = 320 stimuli. To exclude some possible phonological biases such
as compensation for assimilation or coarticulation, I did not include homorganic consonants
(i.e., consonants that share the same place of articulation) and consonants that differ in
voicing within C1C2 onset clusters. However, C1 and C2 could differ in mode of articulation.
Disyllabic C1uC2VC3 counterparts were recorded by a female native speaker of French. All
sounds were digitally recorded with a Sennheiser e865s microphone through a Tascam US144MK II external audio interface, sampled at a 44 kHz rate, converted with a 16-bit
resolution, and bandpass filtered (0 Hz to 5,000 Hz). C1u first syllable in disyllabic
pseudowords systematically carried stress. Monosyllabic C1C2VC3 pseudowords were
Note: N: number of participants; chronological and reading level ages are in months; ranges are years,
months; standard deviations within parentheses; significant difference with dyslexic children: *** p <
.0001, ** p < .005, * p < .02; Reading level as determined by the Alouette test (Lefavrais, 1967); PIQ as
measured by Raven’s Progressive Matrices for French children (PM 38; Raven, 1998); VIQ as measured
by WISC-III for French children (Wechsler, 1996).
3
Phonological Restriction Knowledge in Dyslexia: Universal or Language-Specific?
53
obtained by splicing out step-by-step the vowel /u/ with Praat software (Boersma &
Weenink, 2011). Visual and auditory inspection of the waveforms minimized the /u/
coarticulation-based traces in the C1 and C2. Mean duration was 197.3 ms (SD = 16.1) for the
C1C2 clusters and 79.8 ms (SD = 11.2) for the vowel /u/.
Table 2. Monosyllabic pseudowords used as a function of sonority profiles.
5.1.3 Procedure
This experiment was designed, compiled and run using E-Prime 2.0 Professional software
(Schneider, Eschman, & Zuccolotto, 2002) on Sony X-series laptop computers under
Windows 7 OS. Children wore Sennheiser HD 25-1 II headphones (16 Hz-22 kHz range, 70
Ω impedance) and were presented pseudowords binaurally at 70 dB SPL. Trials consisted in
the presentation of a vertically-centered exclamation mark (i.e., ‘+’) for 500 ms, followed
after a 200-ms blank screen by a pseudoword. A 1,000-ms delay separated two consecutive
trials. Children were requested to decide as quickly and as accurately as possible whether
the pseudoword had one or two syllables (numpad 1 = one syllable, numpad 2 = two
syllables). Children were first trained with a practice list of 16 trials with corrective
feedback. No feedback was given for the experimental trials. Trials were randomized. The
software automatically recorded response times and response accuracy.
5.2 Results
I report first the results from two 5 x 2 x 3 mixed-design repeated measures ANOVAs with
Statistica software by subject (F1) and by item (F2) on response times and response accuracy
(~ 84.1% of the data). ANOVAs were run with Group (dyslexics vs. chronological agematched controls vs. reading level-matched controls) as between-subject factor and Sonority
profile (high-fall vs. low-fall vs. plateau vs. low-rise vs. high-rise) and Syllable structure
(monosyllabic vs. disyllabic) as within-subject factors.
The d’ (Tanner & Swets, 1954) was calculated to assess the discrimination sensitivity
threshold. Student t tests on the d’ computed for each group show that the discrimination
sensitivity threshold does not differ between dyslexic children (M = 1.94, SD = 0.12),
chronological age-matched controls (M = 2.18, SD = 0.18) and reading level-matched
controls (M = 1.92, SD = 0.27), ps > .1. No children had a d’ = 0 ± 5% (i.e., random responses).
The β, which estimates the criterion decision, did not differ between children, ps > .1.
Response times and response accuracy were correlated in dyslexic children, r = -.68, t(4) = 3.30, p < .006, in chronological age-matched controls, r = -.73, t(4) = -4.02, p < .001, and in
reading level-matched controls, r = -.72, t(4) = -3.88, p < .008.
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Dyslexia – A Comprehensive and International Approach
The analysis revealed a significant main effect of Group in response times only, F1(4, 48) =
40.09, p < .0001, η2p = 0.62, F2 (4, 310) = 31.21, p < .0001, η2p = 0.36; indicating that dyslexic
children (1,759 ms) were systematically slower to respond compared to chronological agematched controls (1,213 ms) and reading level-matched controls (1,509 ms), t(8) = 29.11, p <
.0001, t(8) = 13.46, p < .001, respectively.
The Sonority profile x Syllable structure interaction was significant in response times (Fig.
2), F1(4, 48) = 40.09, p < .0001, η2p = 0.62, F2 (4, 310) = 31.21, p < .0001, η2p = 0.36 and response
accuracy (Fig. 3), F1 (4, 48) = 32.69, p < .0001, η2p = 0.73, F2(4, 310) = 28.55, p < .0001, η2p =
0.29. Fisher’s LSD post-hoc tests (Bonferroni’s adjusted α-level for significance, p < .001)
revealed that responses to more marked onset clusters with high-fall SPs (e.g., /ʁbal/) were
slower and less accurate relative to the less marked onset clusters with plateau SPs (e.g.,
/pkal/), which in turn, were slower and less accurate than high-rise SPs (e.g., /gmal/).
Responses to low-fall SPs (e.g., /fkal/) were slower and less accurate than low-rise SPs (e.g.,
/kfal/). Responses to disyllabic counterparts of grammatically worst ill-formed onset
clusters with high-fall SPs (e.g., /ʁubal/) were faster and more accurate relative to disyllabic
counterparts of less marked onset clusters with plateau SPs (e.g., /pukal/), which in turn,
were faster and more accurate than high-rise SPs (e.g., /gumal/). Responses to low-fall SPs
(e.g., /fukal/) were faster and more accurate than low-rise SPs (e.g., /kufal/).
Neither the Group nor the Syllable structure main effects were significant in response
accuracy. The three-way Sonority profile x Syllable structure x Group interaction did not
significantly interact in response times, Fs < 1, p > .1 and response accuracy, Fs < 1, p > .1.
Fig. 2. Mean response times (in ms) to the Sonority profile x Syllable structure interaction for
the dyslexic children (DY), chronological age-matched controls (CA) and reading levelmatched controls (RL).
Phonological Restriction Knowledge in Dyslexia: Universal or Language-Specific?
55
To ensure that the perceptual confusion response patterns are not due to coarticulationbased artifacts relative to traces of spliced /u/ from the C1uC2 clusters, I examined the
nature of the misperception a posteriori. Dyslexic children as well as controls were posttested. Children were asked to report whether or not they heard a vowel, and if so, which
one, within monosyllabic pseudowords (n = 160). The task was quite similar, except that for
each error, a visual feedback was displayed and children were therefore asked to press on
the vowel they thought they heard (i.e., /a/, /i/, /u/, /o/, /e/, /ɛ/, /y/, /ə/, or not a
vowel). Response patterns showed that when French dyslexic children misperceived the C1C2
clusters, they reported an epenthetic /ə/ (M = 80.0 ± 4.4) more frequently than other vowels
(M = 3.5 ± 4.7), t(4) = 24.69, p <.0001). Response patterns were similar in chronological agematched controls (M = 83.9 ± 5.5 vs. M = 5.8 ± 2.9, t(4) = 18.37, p < .0001) and in reading levelmatched controls (M = 81.7 ± 6.2 vs. M = 2.6 ± 3.8, t(4) = 27.00, p < .0001).
Fig. 3. Mean response accuracy (in %) to the Sonority profile x Syllable structure interaction
for the dyslexic children (DY), chronological age-matched controls (CA) and reading levelmatched controls (RL).
As in the Berent et al.’s studies (2007; 2008), I submitted children’ response accuracy to the
C1C2 clusters to a linear hierarchically-forced stepwise regression analysis4. I first forced in
the C1C2 cluster length (in ms); then, I forced in the statistical properties of biphones and
triphones respectively (I considered C1VC2 triphones with a vowel /ə/ that was the most
reported epenthetic vowel in children), the bigram frequency (Peereman, Lété, & SprengerCharolles, 2007), and the phonotactic transitional probabilities (Crouzet, 2000). The analysis
revealed that markedness, which was entered last, accounts for significant unique variance
in dyslexic children (Adjusted R2 = .276, p < .0001, β = .62),, chronological age-matched
4 I used the statistical properties extracted from an oral frequency-based database in French (Gendrot,
2011).
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Dyslexia – A Comprehensive and International Approach
controls (Adjusted R2 = .258, p < .005, β = .55) and reading level-matched controls (Adjusted
R2 = .394, p < .0001, β = .76).
6. Discussion
As can be seen throughout this chapter, the dyslexics’ phonological deficit has unresolved
issues. However, the degraded, under-specified phonological representation hypothesis as a
failure in the perception of finely-sharped acoustic-phonetic cues appears to be somehow
misleading (e.g., Ramus & Szenkovits, 2008). To solve the intricate problem of the nature of
the dyslexics’ phonological deficit, I tried to assess whether -and how- the phonological
representations are difficult to be accessed, either language-specific or universal, in French
dyslexic children compared to chronological age-matched and reading level-matched
controls.
The results provide major, innovative responses to a twofold debate: about the nature of the
phonological deficit in dyslexics and about the universal phonological knowledge on
grammatical restrictions. Crucially, I first observed that the (mis)perception of unattested
onset clusters relies on universal sonority-related phonological knowledge on grammatical
restrictions. Indeed, response patterns indicate a markedness-modulated misperception of
monosyllabic pseudowords as disyllabic ones: as markedness increased from high-rise SP to
high-fall SP, perceptual confusion was prone to increase. Also, response patterns were
reversed to their disyllabic counterparts: as markedness increased, perceptual confusion
decreased. Furthermore, there was no speed-accuracy trade-off: as response accuracy
increased, response times decreased.
A posteriori measures confirmed that monosyllabic pseudowords were not perceptuallyconfused due to coarticulation-based artefacts relative to traces of the spliced vowel /u/:
monosyllabic pseudowords are more likely phonologically-repaired with an illusory
epenthetic vowel /ə/. Since the vowel /ə/ represents a high-frequency vowel in French, a
linear hierarchically-forced stepwise regression analysis discarded a straightforward
influence of statistical properties and acoustic-phonetic cues on the misperception and the
phonological repair by an illusory epenthetic vowel. Neither the C1C2 cluster length, nor the
frequency of biphones and triphones explain our results: sonority-related markedness
accounts for significant unique variance.
Surprisingly, Group effects were absent; French dyslexic children were as sensitive as both
chronological age-matched and reading level-matched controls to the phonological sonorityrelated markedness of C1C2 onset clusters and, as well as controls, they phonologically
repaired unattested marked C1C2 clusters into attested unmarked ones with an epenthetic
/ə/ vowel: this is in accordance with recent results of Maïonchi-Pino, Yokoyama, Takahashi,
Écalle, Magnan, & Kawashima (2011) in French adult native speakers (in English, also see
Berent et al., 2007; 2008). Of interest, dyslexic children did not differ from both control
groups on their response accuracy and discrimination sensitivity threshold (d’); however,
response times were slower. This suggests that dyslexic children have normal, intact
universal phonological constraints and robust phonological representations of their native
language; they are able to efficiently recode grammatical ill-formed sequences (i.e., to do
that, children insert an epenthetic vowel /ə/ that tends to restore an attested, grammatical
Phonological Restriction Knowledge in Dyslexia: Universal or Language-Specific?
57
well-formed, phonological sequence) and universal phonological representations to avoid a
transgression of grammatical well-formedness of phonological sequence. Thus, the children’
misperception of marked onset clusters could be attributed to universal phonologicallyconstrained preferences that follow sonority-related markedness constraints. Since sonorityrelated markedness relies on acoustic-phonetic cues that might require efficient abilities to
perceive, store and process brief acoustic-phonetic information (e.g., Hayes & Steriade, 2004;
for counter-argument on the phonetic basis of sonority, see Clements, 2006), and since
dyslexic children are as sensitive as controls to this phonological marker, our results
compete to reconsider the degraded, under-specified phonological representation
hypothesis to further explore the phonological access deficit hypothesis (e.g., Ramus &
Szenkovits, 2008).
7. Conclusion
Dyslexic children therefore have intact universal phonological sonority-related sensitivity
and efficient language-dependent abilities to underlie both the (mis)perception of
phonotactically-illegal clusters and the phonological repair processes, respectively. Further,
acoustic-phonetic cues as well as statistical properties do not exhibit straightforward
influence, but I do not discard that both contribute to the markedness-related misperception.
Further, in our experiment, it remains unresolved whether Peperkamp’s position (2007, p.
634-635) is true: “the role of the grammar in phonological perception is not to repair
phonologically illegal structure but rather to undo the effect of native phonological
processes, and that perceptual repairs take place at a lower, phonetic, processing level”.
Although I acknowledge that extensive research is important to refine our results, I point
out that, as suggested by Ramus & Szenkovits (2008) or Szenkovits et al. (submitted)
dyslexics’ phonological deficit accommodates with a deficit in storing and accessing the
phonological representations.
8. Acknowledgments
I thank gratefully the head teachers, teachers, speech and language therapists, parents and
children who participated in these experiments. I also thank gratefully Pr. Yasuyuki Taki
and Dr. Hiroshi Hashizume from the Dept. of Developmental Cognitive Neuroscience
(Tohoku University), Drs. Satoru Yokoyama and Kei Takahashi as well as Pr. Ryuta
Kawashima from the Dept. of Functional Brain Imaging (Tohoku University), and Prs.
Annie Magnan and Jean Écalle from the Laboratoire d’Étude des Mécanismes Cognitifs
(Université Lyon 2) for supporting this study. This work was supported by the Japan Society
for the Promotion of Science via a 2-year Postdoctoral Fellowship for Foreign Researcher
awarded to Norbert Maïonchi-Pino.
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5
Antisaccades in Dyslexic Children: Evidence for
Immaturity of Oculomotor Cortical Structures
Maria Pia Bucci1, Naziha Nassibi1, Christophe-Loic Gerard2,
Emmanuel Bui-Quoc3 and Magali Seassau4
1Laboratoire
de Psychologie et Neuropsychologie Cognitives,
FRE 3292 CNRS - Université Paris Descartes, Paris,
2Service de Psychopathologie de l’enfant et de l’adolescent. Hôpital Robert Debré, Paris,
3Service OPH, Hôpital Robert Debré, Paris,
4e(ye)BRAIN, Ivry-sur-Seine,
France
1. Introduction
The antisaccade task has been introduced for the first time by Hallet (1978) in order to
explore the ability of the brain to control behaviour flexibly. Antisaccades are voluntary
saccades during which subjects have to inhibit the movement towards a peripheral visual
target. Usually subjects fixate a central fixation point, which is then extinguished and the
peripheral target is presented. Subjects are instructed to generate a saccade of the same
amplitude to the opposite direction, as quickly and accurately as possible. It is generally
assumed that the sudden appearance of the target in an antisaccade task automatically
triggers a motor program for a prosaccade in this direction, and that errors occur when
certain endogenous processes fail to inhibit or cancel this program (Everling & Fischer,
1998). It is argued that correct antisaccade latencies are increased compared to prosaccade
latencies because the application of the inhibitory processes is time consuming (Olk &
Kingstone, 2003). Everling and Fischer (1998) argued that antisaccade performance requires
two intact subprocesses: 1) the ability to suppress a reflexive saccade towards the target; 2)
the ability to generate a voluntary saccade in the opposite direction. In clinical research,
increased antisaccade error rates are often interpreted as reflecting failures in inhibitory
processing (Crawford, Bennett, Lekwuwa, Shaunak, & Deakin, 2002; Hutton et al., 2008).
Neuropsychological studies have shown an important role of the frontal cortices during
performing antisaccades. For instance, Everling and Munoz (2000), and Funahashi et al.
(1993) revealed that several frontal structures (frontal eye field, dorsolateral cortex and
supplementary eye field) are more activated during antisaccade tasks than during
prosaccades (a saccade made towards the peripheral target). Furthermore, Matsuda et al.
(2004) reported increased activity in the inferior parietal cortex during antisaccade tasks
compared to prosaccades. Interestingly, Ettinger et al. (2008) showed activity in such area
during a period preceeding the antisaccade generation, suggesting an inhibitory role of this
region. Other studies found out that the parietal cortex (some regions in the intraparietal
62
Dyslexia – A Comprehensive and International Approach
sulcus) is responsible for the vector inversion required to generate an antisaccade to the
correct location (Clementz et al., 2007; Zhang & Barash, 2000).
Several researchers have focused on the development of the ability to perform antisaccades.
For example, as suggested in Luna’s exhaustive review (Luna et al., 2008) exhaustive review,
the maturity of the cortical structures devoted to eye movement performances is reached at
14-15 years. Consequently, the improvements in antisaccade performance continue during
adolescence even though the ability to successfully inhibit a saccade toward a new target is
already present at 8 years old (Johnson, 1995).
Moreover, the antisaccade task has also been used as important clinical tool for investigating
dysfunction in various neurological and psychiatric disorders (Leigh and Kennard, 2004).
Patients with discrete lesions of the dorsolateral cortex and in the frontal eye field have
difficulty in performing correctly the antisaccade task (Guitton et al., 1985; Walker et al.,
1998; Gaymard et al., 1999; Davidson et al., 1999).
The antisaccade task has been extensively studied in dyslexic children by the Fischer’s
group. Indeed, Biscaldi et al. (2000) and Fischer & Hartnegg (2000a) compared the
performance in an antisaccade task between dyslexic children and non-dyslexic children of
similar age. These authors reported an increased number of directional errors and several
saccades being missed in dyslexic children. Furthermore, Fischer and Hartnegg (2000b)
showed that this poorer performance in dyslexic children could be improved by training,
leading to obtain a performance similar to that reported in non-dyslexic children. Therefore,
although some evidence exists suggesting impaired inhibitory processing in dyslexic
children, such a deficit can be overcome by training.
Based on all these findings we aimed to explore whether the poor antisaccade performance
reported in dyslexic children could be a consequence of immaturity of cortical structures
responsible of triggering and execution of saccadic eye movements rather than a congenital
deficit of these areas. Indeed, the fact that dyslexic children are able to improve antisaccade
performance with training as shown by Fischer and Hartnegg (2000b) is in line with the
hypothesis of a delayed maturation of the oculomotor system in such type of subjects (Bucci
et al., 2008).
In the present study we compared antisaccade performance in three different groups of
children: (i) dyslexic children; (ii) age-matched non-dyslexic children; (iii) reading agematched non-dyslexic children.
2. Materials and methods
2.1 Participants
Twenty-one dyslexic children were recruited from the pediatric hospital where they were
referred for a complete evaluation of their dyslexia state with an extensive examination
including neurological/psychological and phonological capabilities. For each child the time
required to read a text, its comprehension, and the capacity of reading word/pseudowords
was evaluated by using the L2MA battery (Chevrie-Muller et al., 1997). This is a standard
test developed by the Applied Psychology Centre of Paris (Centre de Psychologie Appliquée
de Paris), and is used everywhere in France. Inclusion criteria for dyslexic were: scores on
63
Antisaccades in Dyslexic Children: Evidence for Immaturity of Oculomotor Cortical Structures
this test below 2 standard deviations of normalized values; and a normal mean intelligence
quotient, between 85 and 115 (IQ, evaluated with WISC IV). The mean age of the dyslexic
children was 11.19 ± 0.2 years, the mean IQ was 100 ± 6 and the mean reading age was 8 ± 1
years. A carefully selected age-matched (29 children, mean age 11.6 ± 0.17) and reading agematched (24 children, mean age 7.8 ± 0.19) groups of non-dyslexic children were selected.
These children had to satisfy the following criteria: no known neurological or psychiatric
abnormalities, no history of reading difficulty, no visual impairment or difficulty with near
vision. For the two groups of non-dyslexic children reading capabilities were in normal
range. Both the similitude test of the WISC IV assessing the verbal capability, and the matrix
test of the WISC IV assessing the logic capability were performed. Normal range for both
tests is 10 ± 3 (Wechsler intelligence scale for children—fourth edition, 2004). The selected
reading age-matched group was normal for verbal (11.78 ± 0.8) and for logic (9.97 ± 0.6)
capabilities. The selected age-matched group was also normal (10.36 ± 0.4 for verbal and
11.89 ± 0.5 for logic).
Both non-dyslexic and dyslexic children underwent an ophthalmologic and orthoptic
examination in order to evaluate their visual function (median values shown in Table 1). All
children had normal binocular vision (60 sec of arc or better), which was evaluated with the
TNO random dot test. Visual acuity was normal (≥20/20) for all children, dyslexic as well as
non dyslexic. The near point of convergence was normal for all three groups of children
tested (≤ 5 cm). Moreover, an orthoptic evaluation of vergence fusion capability using
prisms and Maddox rod was carried out at far and at near distance. At far distance, the
divergence and convergence amplitudes were similar in the three groups of children
examined. In contrast, at near distance, the divergence and convergence amplitudes were
significantly different in the dyslexic group with respect to the other two groups of non
dyslexic children. ANOVA showed significant main effects of group, F(2,71) = 6.36, p < 0.003
and of the divergence and convergence amplitudes, F(2,71) = 3.18, p < 0.04., respectively). The
LSD test showed that the dyslexic group had significantly smaller value of divergence and
convergence amplitudes with respect to the two groups of non-dyslexic children (younger
and older).
Finally, phoria (i.e. latent deviation of one eye when the other eye is covered, using the
cover-uncover test) was normal for all three groups of children tested.
TNO
NPC
Phoria
Far
Phoria
Near
Div
Far
Div
Near
Conv
Far
Conv
Near
D 10-13
63
3
0
Exo 1
4
10
15
32
ND 7-9
45
2
0
Exo 2
4
14*
16
40*
ND 10-13
40
2
0
Exo 2
6
13*
17
40*
Note: dyslexic children, D 10-13; non-dyslexic children chronological age matched, ND 10-13; and nondyslexic children reading age matched, ND 7-9. Median values of: binocular vision (Stereoacuity test,
TNO measured in seconds of arc); near point of convergence, NPC measured in cm; Heterophoria at far
and near distance, measured in prism diopters; Exo = exophoria; Vergence fusional amplitudes
(divergence and convergence) at far and at near distance, measured in prism diopters. Asterisks
indicate that value is significantly different with respect to the group of dyslexic children (p<0.01).
Table 1. Clinical characteristic of the three groups of children examined
64
Dyslexia – A Comprehensive and International Approach
The investigation adhered to the principles of the Declaration of Helsinki and was approved
by our Institutional Human Experimentation Committee. Informed consent was obtained
from the children’s parents after explaining the procedure for the experiment to them.
2.2 Oculomotor paradigm
Stimuli were presented on a PC screen of 22″, its resolution was 1920×1080 and the refresh
rate was 60 Hz. The stimulus consisted in a red filled circle subtending a visual angle of 0.5
deg. The trial consisted of a target positioned at the center of the screen for a variable delay
between 2000 and 3500 ms. The central target disappeared and after a period of 200 ms (=
gap period), a lateral target (green filled circle) appeared at 22.8 degrees, randomly to the
left or to the right of the center, and stayed on for 1000 ms. After this duration, the central
fixation target appeared again, signalling the beginning of the next trial as shown in Figure
1. The lateral target appeared randomly to the left or right and each direction was presented
an equal number of times (i.e., 15 each). Children were instructed to look at the central
fixation point, then to trigger a saccade as soon as possible in the opposite direction and
symmetrically to the lateral target. Thus, when the target moved to the right, the child had
to look at the same distance to the left side. When the target returned to the center, the child
was instructed to follow it back to the center. An initial training block of trials was given to
ensure that the instructions were understood.
1000 ms
200 ms
2000-3500 ms
Time = 3200-4700 ms
Note: When the green target appears, the child has to make a saccade to it mirror position as quickly as
possible. The duration of each trial was between 3200 and 4700 ms.
Fig. 1. Schematic trial of the antisaccade task.
2.3 Eye movements recording
Eye movements were recorded with the Mobile Eyebrain Tracker (Mobile EBT®,
e(ye)BRAIN, www.eye-brain.com), an eye-tracking device CE marked for medical purpose
(see Figure 2). The Mobile EBT® benefits from cameras that capture the movements of each
eye independently. Recording frequency was set up to 300 Hz.
2.4 Procedure
Children were seated in a chair in a dark room with the head leaning on a forehead and chin
support; viewing was binocular; the viewing distance was 58 cm. Calibration was carried
Antisaccades in Dyslexic Children: Evidence for Immaturity of Oculomotor Cortical Structures
65
out at the beginning of eye movements recordings. During the calibration procedure,
children were asked to fixate a grid of 13 points (diameter 0.5 deg) mapping the screen. Each
calibration point required a fixation of 250 ms to be validated. A polynomial function with
five parameters was used to fit the calibration data and to determine the visual angles. After
the calibration procedure, the antisaccade task was presented to the child. Duration of the
task was kept short (lasting a couple of minutes) allowing an accurate evaluation of eye
movement recordings.
Fig. 2. Mobile Eyebrain Tracker (Mobile EBT®) used to record eye movements from both
eyes in children.
2.5 Data analysis
The software MeyeAnalysis (provided with the eye tracker) was used to extract saccadic eye
movements from the data. It determines automatically the onset and the end of each
saccade. All detected saccades were verified afterwards by the investigator and
corrected/discarded if necessary.
The latency and the gain (saccade amplitude/mirror target amplitude) of correct responses
and of wrong responses, as well as the percentage of correct antisaccade responses were
analyzed in the three different groups of children. Saccades with latencies inferior to 100 ms
were counted but not included in the analysis.
Statistical analysis was performed by a three-way ANOVAs using the three groups of
children (dyslexics and non-dyslexics, chronological and reading-age matched) as intersubject factor.
3. Results
The ANOVA showed a main effect of age (F(2,71)=130.9, p<0.001). Post hoc comparisons
showed that reading age matched non-dyslexic children (ND 7-9) were significantly
younger than the two other groups (p<0.001). There was no age difference between the
group of dyslexic children (D 10-13) and the group of chronological age-matched non
dyslexic children (ND 10-13) (p=0.22).
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Dyslexia – A Comprehensive and International Approach
Figure 3 shows the mean latency of antisaccades for each group of children examined
(dyslexic children 10-13 years (D 10-13), non dyslexic children, 7-9 (ND 7-9), and 10-13 years
old (ND 10-13) respectively).
The mean latency value for correct antisaccades was 337 ± 14.7 ms for the group of dyslexic
children and 353 ± 14.0 ms and 282 ± 12.5 ms for the group of younger and older non
dyslexic children respectively.
***
Note: Vertical lines indicate standard error. *** = p<0.01.
Fig. 3. Mean latency of antisaccades for dyslexic children 10-13 years old (D 10-13) and non
dyslexic children 7-9 years old (ND 7-9) and 10-13 years old (ND 10-13), respectively.
The ANOVA showed a significant main effect of group, F(2,71) = 8.18, p<0.0006 on the latency
of antisaccades. Post hoc comparison showed that the latency of antisaccades of the older
group of non-dyslexic children was significant shorter with respect to the group of dyslexic
children (p<0.01) and to the younger group of non dyslexics (p<0.0001). The latency of
dyslexics was similar to that of non-dyslexic reading age matched children (ND 7-9)
(p=0.73).
The mean latency value measured for saccades in the wrong direction (prosaccades towards
the target) is showed in Figure 4. The mean value was 196 ± 10.2 ms for the group of dyslexic
children and 182 ± 9.5 ms and 175 ± 8.8 ms for the group of younger and older non dyslexic
children. The ANOVA showed no significant main effect of group (F(2,71) = 1.18, p=0.31).
For each group of children tested we counted also the frequency of anticipatory
(latency < 100 ms). The ANOVA did not show group effect (F(2,71)=1.60, p=0.20).
children (D 10-13) made 5.7 ± 1.4 % of anticipatory saccades; while reading age
(ND 7-9) and chronological age matched non-dyslexic children (ND 10-13) made
and 2.4 ± 1.2 % of anticipatory saccades, respectively.
saccades
Dyslexic
matched
3.8 ± 1.3
In Figure 5 the gain of correct and wrong antisaccade trials are shown for the different
groups of children. The ANOVA revealed that a main effect of group was approaching
significant for the gain of the antisaccades (F(2,71) = 2.97, p<0.057) but this was not significant
for the wrong prosaccades (F(2,86) = 0.72, p=0.48).
Antisaccades in Dyslexic Children: Evidence for Immaturity of Oculomotor Cortical Structures
67
Note: Vertical lines indicate standard error.
Fig. 4. Mean latency of wrong prosaccades (towards the target) for dyslexic children 10-13
years old (D 10-13) and non dyslexic children 7-9 years (ND 7-9) and 10-13 years old (ND 1013).
Note: Vertical lines indicate standard error.
Fig. 5. Gain (amplitude of eye movements/amplitude of the attended position target) for
antisaccades and wrong prosaccades for dyslexic children 10-13 years old (D 10-13) and non
dyslexic children (younger and older, 7-9 (ND 7-9) and 10-13 years old (ND 10-13),
respectively).
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Dyslexia – A Comprehensive and International Approach
The mean error rate was also examined (see Figure 6). The mean error rate was 50.8 ± 4.4 %
for the group of dyslexic children and 63.3 ± 4.2 % and 30.3 ± 3.8% respectively for the group
of younger and older non dyslexic children.
***
Note: Vertical lines indicate standard error. *** = p<.0003.
Fig. 6. Mean error rate in antisaccades for dyslexic children 10-13 years old (D 10-13) and
non dyslexic children (younger and older, 7-9 (ND 7-9) and 10-13 years old (ND 10-13),
respectively).
The ANOVA on error rate showed a significant main effect of group, F(2,86) = 17.88, p<0.0001.
Post hoc comparison showed that the error rate for the older group of non-dyslexic children
was significantly lower with respect to the other groups of children: p<0.003 for the
dyslexics and p<0.0001 for the younger non dyslexic children. There was no difference
between the non-dyslexic younger group and the dyslexic group (p=0.10).
4. Discussion
The present study showed first that dyslexic children performed the antisaccade task
differently to chronological age matched non-dyslexic children: the latency values of correct
antisaccades were longer; furthermore the error rate for dyslexic children was significantly
higher compared to that of non dyslexic children of similar age. Secondly, this study
showed that in non-dyslexic children the performance in the antisaccade task improved
with age.
Both results lend support to the previous studies conducted by Fischer’s group with
dyslexic children (Biscaldi et al., 2000; Fischer & Hartnegg, 2000a) and also other studies
with normal children conducted by Fukushima et al. (2000) and by Irving et al. (2009). Note
also that in this study the mean latency values of wrong prosaccades were similar in all
three groups of children tested. This finding is only apparently in contrast with
developmental evidences showing that latency of saccades is age dependent (see Leigh &
Zee, 2006 for review). Indeed, in all developmental studies exploring latency of saccades,
children had to saccades as quickly as possible to the target (by making a prosaccade) and it
Antisaccades in Dyslexic Children: Evidence for Immaturity of Oculomotor Cortical Structures
69
is well known, particularly in the case of children, that latency value depends on the
subject’s attention and motivation (Clark, 1999). In the present study child had to perform
an antisaccade task and the latency here reported for prosaccades is due to a wrong
response. Note that a similar finding has been also reported from the study of Munoz et al.
(1998).
The new important finding of the present study comes from the comparison between
dyslexic children with reading age matched non-dyslexic children. Indeed, the oculomotor
behavior of the group of dyslexic children 10-13 years old was similar to that observed in the
group of reading age matched non-dyslexic children (7-9 years old). Both the latency values
of correct antisaccades and the error rate in the antisaccade task of dyslexic children 10-13
years old were similar to those found in reading age matched non dyslexic children (7-9
years old).
During saccade latency, it is assumed that several processes occur such as the shift of the
visual attention to the new stimulus, the disengagement of oculomotor fixation, and the
computation of the new parameters (Fischer & Ramsperger, 1984; Findlay & Walker, 1999).
These processes involve different cortical and sub-cortical areas (see Leigh & Zee, 2006 for a
full review). The longer saccade latency has frequently been attributed to an
underdeveloped related cortex, and some investigations have also suggested that increased
latency of saccades is related to difficulty in controlling visual fixation (Munoz et al., 1998).
To perform an antisaccade it is necessary to first inhibit the reflexive response towards the
stimulus, and then to prepare a voluntary saccade in the opposite direction (antisaccade).
Klein (2001), and Klein and Foerster (2001) reported that the capability to inhibit this type of
saccade as well as the circuitry controlling cognitive processes is present as early as at 6
years old. They suggested that what is immature in young children is the capability to use
such cognitive facilities, leading to a partially correct antisaccade response but to an overall
impaired general performance for this task.
Malone and Iacono (2002) hypothesized that although young children have adequate
working memory capability to perform correctly on the antisaccade task, they might not be
capable of maintaining these instructions continuously throughout the course of the
experiment. This may explain why young children in the current study showed long
latencies and a high error rate in the antisaccade task.
On the other hand, it is also well known that the parietal cortex, the frontal eye field, the
supplementary eye fields and the prefrontal cortex play important roles in antisaccade
performance (Luna et al., 2008; McDowell et al., 2008). Further, the inferior parietal cortex
has been suggested to be important for the inhibitory period preceding an antisaccade
movement (Ettinger et al., 2008) and regions in the intraparietal sulcus (within parietal
cortex) could be responsible for generating a correct antisaccade response (Clementz et al.,
2007; Nyffeler et al., 2007).
Based on all the available evidences, we postulate the hypothesis that in dyslexic children
the delayed maturation of all these structures could lead to longer latencies and increased
error rate in the antisaccade task, similar to those reported in reading age matched nondyslexic children.
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Dyslexia – A Comprehensive and International Approach
Furthermore, it should be noted that the limited fusional amplitude in divergence and
convergence capabilities reported in dyslexic children with respect to the two groups of non
dyslexic children found with the orthoptic tests is also in favour of a general immaturity of
the cortical structures controlling the oculomotor system. Indeed, fusional vergence
capabilities are age dependent (Scheiman et al., 1989; von Norrden and Campos, 2006) and
at the cortical level some studies showed evidence of vergence control. For instance, the
study of Gamlin & Yoon (2000) identified an area close to frontal eye field containing cells
that discharge before and during vergence movements. More recently, Quinlan and Culham
(2007) with an fMRI study showed an activation of parietal and occipital cortex while
humans performed convergence. Thus, in the light of the existing physiological evidence for
cortical control of vergence both in monkeys and in humans, the results of the clinical tests
presented here in dyslexics suggest immaturity of the neuro-physiological circuitry
responsible for generating vergence movements that are closer to the structures for
generating saccades.
Finally, it should be noted that orthoptic training is widely used by clinicians for improving
vergence capabilities (e.g., von Noorden & Campos, 2006). van Leeuven et al. (1999) and
Bucci et al. (2004) reported objective studies on eye movements recordings in children,
showing an improvement of vergence eye movements performance after orthoptic training.
Consequently, orthoptic training could be applied also for dyslexic population.
5. Conclusion and future directions
The deficits in oculomotor behavior reported in dyslexic children seem to be due to the
immaturity of their adaptive mechanism. We believe that visual attentional training along
with oculomotor training could help dyslexic children to override such deficiencies allowing
an appropriate control of the triggering and execution of saccadic eye movements. We hope
to develop new training techniques resulting from this principle to help dyslexic children.
6. Acknowledgments
We thank the medical doctor and nurses of “Service de Psychopathologie de l’enfant et de
l’adolescent”, Robert Debré Hospital (Paris, France), Eliane Delouvrier, Camille de Solages,
teachers, parents and children for their participation.
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6
Sequential Versus Simultaneous Processing
Deficits in Developmental Dyslexia
Marie Lallier1 and Sylviane Valdois2
1Basque
2Laboratoire
Center on Cognition, Brain and Language,
de Psychologie et Neurocognition, CNRS UMR 5105,
1Spain
2France
1. Introduction
Despite the large number of studies conducted on developmental dyslexia, the cause(s) of
the disorder still remain(s) unclear. Researchers in this field still struggle to understand the
reason why abnormal reading acquisition occurs in children who receive appropriate
environmental opportunities to achieve a good education, and present normal intellectual
efficiency. This introduction will focus on the presentation of the phonological hypothesis,
and then move onto the presentation of the visual attention span hypothesis, which predicts
at least two proximal causes to developmental dyslexia. Setting the theoretical framework
for these hypotheses will help to understand why sequential and simultaneous dimensions
for visual and auditory processing may have independent roles to play in typical and
atypical reading development.
1.1 The phonological hypothesis: The only core deficit of the reading disorder
The phonological hypothesis (e.g., Snowling, 2000), probably the most well-known
hypothesis among those formulated so far, predicts that an impairment in various
phonological components (e.g., phonological short-term memory, phonological awareness,
and phonological fluency) and sub-lexical processing (i.e., at the level of units smaller than
the word such as graphemes, syllables or morphemes) would be detrimental for the
acquisition of the skills necessary to decode new words, and acquire fluent reading (see
Vellutino et al., 2004 for a review).
This hypothesis suggests that difficulties in acquiring phonological awareness and the
alphabetic principle would prevent letter-to-sound mapping from developing normally.
Consequently, a phonological disorder would affect reading acquisition, impairing the
abilities necessary to map sub-lexical and lexical orthographic forms to their auditory
counterparts. In support to the phonological deficit hypothesis, studies on typical children
provided reliable evidence for a causal link between phonological skills development and
reading acquisition (see however Castles & Coltheart, 2004 for a counter-argument about
this causality). For example, longitudinal studies have shown that phonological skills
predict later reading performance (e.g., Hulme et al., 2002). Phonology-based training
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Dyslexia – A Comprehensive and International Approach
programs further showed a positive impact on reading acquisition (see Ehri et al., 2001 for a
review). Such data strongly suggests that the role that phonological difficulties play in the
reading disorder may indeed be critical.
However, studies have questioned the restriction of the difficulties of dyslexic participants
to the verbal sphere, assuming that phonological disorders would themselves result from
more basic perceptual processing difficulties. Such studies propose that perceptual
difficulties might affect the rapid temporal dimension of processing characterizing
phonological inputs. Thus, in order to highlight a link between these difficulties and reading
problems, a large number of studies have attempted to define the nature of the temporal
dimension of the deficits observed in dyslexic participants. In their review of the literature,
Farmer and Klein (1995) described studies showing impaired performance in dyslexic
participants not only in auditory but also in visual temporal processing. The authors
concluded that a temporal amodal processing deficit is associated with developmental
dyslexia and that the phonological disorder would result from this temporal processing
deficit. Soon after their review, Farmer and Klein were reproached for having poorly
defined and circumscribed the temporal deficits found in individuals with developmental
dyslexia (Rayner, Pollatsek, & Bilsky, 1995).
Starting from Farmer and Klein (1995) and from the literature published since then, the
following section will present three main research axes providing coherent choices of
experimental paradigms and specific interpretative frameworks regarding temporal deficits
in developmental dyslexia. However, these hypotheses greatly overlap with each other, and
are not mutually exclusive.
1.1.1 The rapid temporal - sequential - processing deficit hypothesis
Before starting to detail the rapid temporal processing deficit hypothesis, note that here,
temporal refers to the sequential dimension of processing, i.e., the succession of two or more
stimuli, which underlies the notion of inter-stimulus interval (ISI). ISI corresponds to the
period of time separating two visual or auditory objects presented sequentially. Therefore,
the shorter the ISI, the more rapid the stimuli succession speed. It is important to note that
this hypothesis also accounts for another type of temporal processing, a transient processing
(temporal change within one stimuli) which specifically relates to the magnocellular
hypothesis of dyslexia (cf 1.1.2). This section more specifically focuses on sequential aspects
of temporal processing deficits in dyslexic participants since studies testing the rapid
temporal processing deficit hypothesis of dyslexia have mainly assessed this specific type
(i.e., sequential) of temporal impairments.
In line with the phonological hypothesis which posits that developmental dyslexia stems
from a linguistic deficit (Vellutino et al., 2004), Tallal (1980) put forward a more general
hypothesis accounting for an auditory processing deficit in dyslexia. Her underlying
hypothesis is that the degradation of speech temporal analysis at the phonemic level causes
the reading difficulties of dyslexic participants. More specifically, Tallal reasoned that
dyslexic participants could not process the fast temporal changes in the speech signal,
leading to degraded and noisy representations of linguistic sounds.
The results supporting this hypothesis first came from studies of specific language
impairment (SLI) children who exhibit phonological problems, like dyslexic children. The
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
75
tasks used to assess the hypothesis of a general auditory disorder are temporal order and
similarity judgment tasks. They involve the serial presentation of two phonological auditory
stimuli and participants have to determine respectively which stimulus came first in the pair
or whether the two stimuli were the same. Interestingly, deficits on these tasks were
reported in SLI children only when the two stimuli were separated by a short time period;
i.e., short ISI (e.g., Tallal & Piercy, 1973, 1974). Tallal’s team then administered the same
tasks to dyslexic children, but using non-verbal sounds such as pure tones. Deficits were
reported in these children as compared to age-matched children but for ISIs shorter than
428ms (Tallal, 1980). A strong correlation was further found between dyslexic participants’
performance on auditory temporal tasks and their pseudoword reading performance, thus
providing first evidence for a link between rapid auditory sequential processing deficits and
dyslexia.
Further evidence for a causal link between auditory and reading disorders was provided by
Benasich and Tallal (1996), assessing performance of 7.5 month old infants considered “at
risk” for a future language disorder on a task where participants had to distinguish various
acoustic features presented at a fast rate. The performance of the infants on the task
explained a significant part of variance in their later language skills and predicted a
language impairment at 3 (Benasich & Tallal, 2002, see also Hood & Colon, 2004). Coupled
with neuroimaging data, some training studies of auditory rapid sequential skills supported
such causal link (e.g., Habib et al., 2002).
While many studies showed auditory rapid sequential processing deficits in dyslexic
individuals using either verbal (e.g., De Martino, Espesser, Rey, & Habib, 2001; Heim,
Freeman, Eulitz, & Elbert, 2001) or non-verbal (e.g., Laasonen, Service, & Virsu, 2001)
stimuli, other results questioned the restriction of the impairment to rapid stimuli
sequences. Indeed, some studies failed to reveal a deficit in dyslexic participants on the short
ISI conditions only (Bretherton & Holmes, 2003; Chiappe, Stringer, Siegel, & Stanovich, 2002;
Ram-Tsur, Faust, & Zivotofsky, 2006). Others found that dyslexic individuals were impaired
for long intervals as well, even when using the same tasks as Tallal (Share, Jorm, Maclean, &
Matthews, 2002). It follows that auditory rapid sequential deficits may not be a condition
sufficient and necessary to observe dyslexia. Nevertheless, available data suggests that such
rapid sequential auditory processing plays a role in normal reading (Au & Lovegrove, 2001a,
2001b) and phonological development (Walker, Hall, Klein, & Phillips, 2006).
It has also been suggested that the phoneme processing difficulties of dyslexic participants
could well be part of a more general, amodal, rapid sequential processing deficit (the “rate
processing deficit” hypothesis) by introducing the hypothesis of a similar impairment in the
visual modality. Regarding visual sequential processing deficits, studies reported that as
compared to controls, dyslexic individuals required longer ISIs in order to be accurate on
spatial-temporal order judgment tasks, either with verbal (May, Williams, & Dunlap, 1988) or
non-verbal (Hairston, Burdette, Flowers, Wood, & Wallace, 2005; Jaskowski & Russiak, 2008)
visual stimuli. In these tasks – similar to those described previously in the auditory modalityparticipants are presented with pairs of visual stimuli appearing sequentially on a screen at
different locations, and have to decide which of the two stimuli was displayed first.
As with in the auditory modality however, findings revealed that visual temporal order
judgment impairments of dyslexic participants did not depend upon the ISI duration (Ram-
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Dyslexia – A Comprehensive and International Approach
Tsur et al., 2006; Ram-Tsur, Faust, & Zivotofsky, 2008). Some studies even failed to show
any disorder of this kind (Laasonen Tomma-Halme, Lahti-Nuuttila, Service, & Virsu., 2000,
Lassonen et al., 2001). Supporting the idea of a weak link between visual sequential
processing and reading, Hood and Conlon (2004) failed to show that visual temporal order
judgment performance of preschoolers predicted their reading skills at Grade 1 (see also
Landerl & Willburger, 2010 for similar results in both the visual and the auditory modality).
However, Walker et al. (2006) showed that such performance significantly contributed to
reading performance and phonological awareness abilities in a large sample of young and
older adults with various reading levels.
Despite attempts to highlight an amodal rapid sequential processing deficit, very few
studies have actually measured visual and auditory rapid sequential processing in the same
dyslexic participants using similar paradigms (e.g., Laasonen et al., 2000, 2001; Reed, 1989).
Overall, previous studies question the sequential visual impairment but the nature of the
auditory processes that have been captured by the order judgment task (e.g., deciding which
of two stimuli displayed sequentially appeared first) and similarity judgment task (e.g.,
deciding whether two stimuli presented sequentially were the same or not) still needs to be
clarified (see Bailey & Snowling, 2002). Lastly, this hypothesis tends to predict a relation
between visual rapid sequential processing and lexical reading, i.e., regular word or irregular
word reading, but a priori no link with phonological processing, which is hard to reconcile
with the phonological hypothesis of developmental dyslexia. Pointing out these problems,
Stein and Talcott (1999) reminded that the rapid sequential processing deficit hypothesis was
first grounded on temporal order and similarity judgments, which, according to them, cannot
capture the temporal processing required for phonological representation build-up.
1.1.2 The magnocellular hypothesis: The “Impaired Neuronal Timing” hypothesis
(Stein & Talcott, 1999)
The magnocellular hypothesis of dyslexia (Stein & Walsh, 1997; Stein & Talcott, 1999)
supports the idea of visual and auditory perceptual deficits which specifically account for
transient or dynamic aspects of temporal processing (i.e., rapid physical changes in real time
within a stimulus). To a lesser extent, it relies to the ability to process distinct stimuli when
presented serially, in sequences (see 1.1.1). Stein and Talcott (1999) claimed that sensitivity
to transient events could be assessed with simple stimuli triggering the activation of
neurons specifically devoted to that type of processing: the magnocellular cells. The authors
assume that magnocellular cells which are part of both the visual and the auditory human
systems would dysfunction in dyslexic participants (vision: Livingstone, Rosen, Drislane, &
Galaburda, 1991; audition: Galaburda, Menard, & Rosen, 1994). In that sense, the
magnocellular hypothesis of dyslexia differs from the rapid sequential processing deficit
hypothesis because the latter does not specify any cerebral origin to the auditory and visual
deficits of individuals with dyslexia.
Originally, the magnocellular hypothesis builds its foundation on the organization of the
visual system and leans onto three main ideas:
1.
The existence of two independent neural pathways, located deep below the surface of
the brain (sub cortical structures), called the magnocellular and parvocellular pathways.
Interestingly, the magnocellular system – called also the transient system - is tuned in to
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
2.
3.
77
fast temporal processing, whereas the parvocellular system is more sensitive to slower
temporal processing – sustained system1);
The observation of these two neural pathways at the surface of the brain, (i.e., in the
cerebral cortex, which plays a key role in language) via two routes called the dorsal and
ventral routes respectively;
The dorsal route starts from the visual primary brain areas (V1) to the visual motion
brain areas (MT/V5) to finish on the posterior parietal cortex, that subtends to visual
selective attention and ocular movement monitoring (important in reading).
In the visual modality, the magnocellular hypothesis predicts impaired monitoring of ocular
movements, leading to visual confusion, superposition and distortion during reading. In the
auditory modality, a similar organization is found with the existence of two cortical routes
(Clarke, Bellmann, Meuli, Assal, & Steck, 2000). Moreover, the “magnocellular” auditory
neurons have been shown to be specialized in the tracking of amplitude and auditory
frequency (pitch) changes within acoustic signals (Trussel, 1999). According to Stein and
Talcott (1999), a phonological disorder would result from auditory transient, very fast,
temporal processing difficulties. Therefore, both visual and auditory transient processing
deficits would together yield a degradation of grapheme-to-phoneme mapping processes
and sub-lexical reading and decoding (Pammer & Vidyasagar, 2005).
Data on behavioral tasks involving processing changes within stimuli have supported the
visual transient processing deficit hypothesis of developmental dyslexia. It was indeed
shown that dyslexic participants required more time to perceive the dynamic change within
stimuli (McLean et al., 2011). The most commonly used tasks for revealing transient
processing differences between dyslexic individuals and controls involve the detection of
either a transient change in the identity of the stimulus (e.g., a single visual dot becoming
two flashing dots at the same location: Edwards et al., 2004; Van Ingelghem et al., 2001), a
transient change in the spatial location of the stimulus (e.g., when a visual object is moved to
a different location: Jones, Branigan, & Kelly, 2008) or a transient change in the way a group
of stimuli moves (e.g., when the direction of the movement of a group of visual dots
changes: Cornelissen, Richardson, Mason, Fowler, & Stein, 1995). Supporting the
magnocellular hypothesis deficit, visual transient processing deficits have been linked to
sub-lexical reading deficits in participants with dyslexia (e.g., Cestnick & Coltheart, 1999).
However, the link between visual transient processing and reading was not always
established in skilled readers (e.g., Au & Lovegrove, 2001a). Moreover, strong
inconsistencies have still been reported with some studies showing no such visual deficits in
dyslexic participants (e.g., Amitay, Ben-Yehudah, Banai, & Ahissar, 2002; Ben-Yehudah,
Sackett, Malchi-Ginzberg, & Ahissar, 2001).
In the auditory modality, a transient processing deficit has also been reported with
experimental paradigms similar to the ones used in the visual modality, such as silent gap
detection or segregation tasks (when participants have to detect a silence inserted within an
auditory stimulus: Helenius, Salmelin, Service, & Connolly, 1999), the apparent movement
task (when auditory tones moves from one hear to the other: Hari & Kiesilä, 1996 but see
1 Note that the magnocellular system preferentially responds to low spatial frequencies and is very
sensitive to luminance contrasts. For the purpose of the present chapter, we will specifically focus on
the temporal transient processing deficits in relation to reading disorders and reading development.
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Dyslexia – A Comprehensive and International Approach
Kronbichler, Hutzler, & Wimmer, 2002), or pitch and amplitude modulation discrimination
tasks (when auditory stimuli progressively change in loudness or pitch: Witton, Stein,
Stoodley, Rosner, & Talcott, 2002). Phonological skills (Talcott et al., 2000, but see Kidd &
Hogben, 2007) and pseudo word reading (Au & Lovegrove, 2001a, 2001b, 2008; Walker et
al., 2006; Witton et al., 2002) performance has further been linked to auditory transient (i.e.,
magnocellular) performance. Some data further suggests a potential causal link between
auditory transient processing and phonological skills (Schäffler, Sonntag, Hartnegg, &
Fischer, 2004).
However, it still remains that a phonological deficit does not always accompany difficulties
in auditory or visual transient processing (Heim et al., 2008; Kronbichler et al., 2002; Ramus
et al., 2003; White et al., 2006). The hypothesis of a role of these deficits in the reading
disorder has been criticized particularly in the visual modality and such visual deficits have
been considered as an epiphenomenon associated with reading difficulties (e.g., Hutzler,
Kronbichler, Jacobs, & Wimmer, 2006; Skottun, 2000).
Interestingly, in their original proposal, Stein and Talcott (1999; Stein & Walsh, 1997) suggest
that the link between magnocells dysfunction and developmental dyslexia is mediated by
poor ocular movement monitoring because of the projection of magnocells to the posterior
parietal cortex in charge of such visual-motor control skills. From that perspective, it has
been proposed that the reading disorder may rather result from a parietal dysfunction than
from the degradation of magnocells per se (e.g., Boden & Giaschi, 2007). Along these lines,
Buchholz and MacKone (2004) concluded that phonological awareness and visual attention
skills – subtended by parietal activation – are related, whereas phonology and
magnocellular processing per se are not. This new perspective based on attentional
processing will result in a new proposal explaining the cause of developmental dyslexia,
favoring the role of the parietal cortex in the amodal temporal processing deficits associated
with the reading disorder (Hari & Renvall, 2001).
1.1.3 The sluggish attentional shifting hypothesis
According to Hari and Renvall (2001), the magnocellular dysfunction at the cell level could
lead to a variety of symptoms (including the reading disorder) which would depend on
what cerebral structure is the most impaired by the magnocellular dysfunction. From that
perspective, the type of temporal processing affected would not be specific to magnocell
characteristics but would be supported by the cerebral structure the most affected by the
magnocell dysfunction. In the sluggish attentional shifting (SAS, hereafter) hypothesis, Hari
and Renvall (2001) propose the parietal cortex as the structure responsible for the reading
disorder (see Figure 1 for a schematic representation of the links between the magnocellular
and the SAS hypotheses in relation to reading disorders).
According to these authors, the parietal dysfunction would affect the automatic processes
engaged in attentional shifting over rapid stimulus sequences in all sensory modalities
(auditory, visual, and tactile). In that sense, the SAS hypothesis stands at the crossroad
between the rapid sequential (perceptual) processing deficit hypothesis (see section 1.1.1)
and the magnocellular deficit hypothesis of developmental dyslexia (see 1.1.2). Hari and
Renvall (2001) described precisely the temporal dimension their theory accounts for and
emphasized that this specific temporal processing relates, on the one hand, to the processing
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
79
of distinct successive stimuli, and, on the other hand, to the processing of distinct changes
within a stimulus sequence (rather than within a single stimulus).
Therefore, the SAS hypothesis does not make predictions about, for example, auditory
frequency or amplitude modulation detection described by the magnocellular deficit
hypothesis. Hari & Renvall (2001) propose that SAS is “the pathophysiological link between the
magnocellular deficit and the RSS [Rapid Stimuli Sequence] processing in dyslexic subjects”
(p.530). In this framework, a magnocellular dysfunction would not be a factor sufficient and
necessary to observe dyslexia (Skoyles & Skottun, 2004) although magnocellar deficits
would still potentially be associated with manifestations of reading difficulties. Rather, Hari
and Renvall assume that the parietal dysfunction would be responsible for reading
disabilities, via SAS skills.
The principles of the SAS hypothesis are the following: when a to-be-processed stimulus is
perceived, it falls into a perceptual temporal window whose size depends upon how fast the
cognitive system can integrate this stimulus. According to Hari and Renvall (2001), the time
of integration would be prolonged in individuals with developmental dyslexia. When
several stimuli are sequentially presented, the prolongation of the integration time would
create interferences between the stimuli entering the temporal window and induce a
prolonged perceptual persistence in dyslexic individuals (e.g., Slaghuis & Ryan, 1999). It is
therefore inferred that dyslexic participants would show difficulties in automatically
disengaging the focus of attention from one stimulus to reengage it on the next one.
In order to justify the specific attentional (and not perceptual) origin of the deficit, Hari and
Renvall (2001) argue that 1) dyslexic participants do not exhibit any deficit regarding the
temporal synchronization between the moment when stimulus is presented and its actual
processing by the neuronal system (phase locking: Hari, Saaskilahti, Helenius, & Uutela,
1999a; Llinas, 1993; Witton, Richardson, Griffiths, & Rees, 1997) and 2) the SAS hypothesis
can account for two attention phenomena known to be linked to reading, namely the
attentional dwell time and the symptom of hemineglect. These two phenomena are
explained below:
i.
The attentional dwell time has been reported in all sensory modalities in paradigms
where stimuli are rapidly and serially presentated (in vision: Raymond, Shapiro, &
Arnell, 1992; in audition: Vachon & Tremblay, 2008). The attentional dwell time is a
theoretical concept corresponding to a natural limit in attentional resources reflected by
the interference induced when several stimuli fall into the same temporal integration
window. Specifically, the attentional dwell time is thought to cause difficulties in
processing a target falling into the same temporal integration window as a first
previous target to which most attentional resources have been already allocated. This
drop in performance for the second target processing would spread from 300ms to
500ms after the presentation of the first target depending on the experimental paradigm
and/or the sensory modality. According to Hari and Renvall (2001), this natural limit in
temporal attention resources would be stronger in individuals with developmental
dyslexia because of their SAS skills. Hence, in dyslexic participants, the combination of
SAS skills and attentional dwell time would lead to a prolongation of temporal input
chunks falling under the attentional focus. The length of these inputs would increase
their complexity, inducing poor encoding of visual or auditory sequential stimuli at
80
ii.
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higher levels (such as graphemic –letter- or phonemic –language soundsrepresentations).
Furthermore, based on the observation that visual heminiglect patients2 exhibit a
prolongation of the attentional dwell time (Husain, Shapiro, Martin, & Kennard, 1997),
Hari and Renvall (2001) proposed the left visual minineglect as a marker of
developmental dyslexia, but not as a causal factor. From that perspective, this left
minineglect would result from a dysfunction, and not a lesion, of the right parietal
cortex (Hari, Renvall, & Tanskanen, 2001; Liddle, Jackson, Rorden, & Jackson, 2009).
Supporting this idea, dyslexic children have been shown to suffer from left
pseudoneglect, i.e. presenting symptoms of left hemineglect patients, in absence of any
parietal lesion. The typical behavioural marker for this left pseudoneglect is the absence
of the usual overestimation (facilitation for processing) of stimuli presented in the left
visual hemifield (Sireteanu, Goertz, Bachert, & Wandert 2005; Sireteanu, Goebel,
Goertz, & Wandert, 2006).
Along the same lines, data collected in dyslexic individuals are in accordance with an
asymmetric distribution of attention resources between right and left visual hemifields
(e.g., Facoetti & Moltoni, 2001; Facoetti Paganoni, Turatto, Marzola, & Mascetti,, 2000;
Facoetti & Turatto, 2000). Indeed, Facoetti’s team studies show that participants with
developmental dyslexia exhibit higher inhibition for the stimuli displayed in the left
visual field but a facilitation of processing for those displayed in the right visual field.
Moreover, it has been shown that training programs involving specific stimulation of
each hemisphere individually (tachitoscopic presentation of words) improved not only
the visual-spatial attentional skills of dyslexic readers in the right hemisphere/left
hemifield (Facoetti, Lorusso, Paganoni, Umilta, & Mascetti, 2003; Lorusso, Facoetti,
Toraldo, & Molteni, 2005) but also their reading performance (Lorusso, Facoetti, &
Molteni, 2004; Lorusso et al., 2005). Note that lesions in the posterior parietal cortex can
also induce auditory neglect (Marshall, 2001), the SAS hypothesis predicts similar
impairment in the auditory modality.
Regarding the link between visual and auditory SAS and reading, Hari and Renvall (2001)
assume that a phonological disorder would result from auditory SAS. Indeed SAS is
expected to cause longer and more complex phonological input chunks, thus hindering the
build-up of stable phonological representations. The link between visual SAS skills and
reading is clearly explained (i.e., because the number of letters that participants have to
encode during one ocular fixation during reading is increased, interferences and possible
confusions in reading are observed) but their responsibility in the phonological disorder is
not described. However, one can assume that both visual and auditory SAS would be linked
to phonological deficits via their contribution to the acquisition of the grapheme-phoneme
correspondences that are indispensable for normal reading acquisition (Pammer &
Vidyasagar, 2005; Vidyasagar & Pammer, 2010).
The SAS hypothesis therefore offers an explicative framework for verbal and non-verbal
auditory and visual attention sequential deficits. It furthermore specifies the
Hemineglect patients typically suffer from a parietal lesion (interpreted as an attentional deficit at the
cognitive level) which causes difficulties in encoding and processing visual object appearing in the
hemifield in the opposite side of this parietal brain lesion (e.g., impairment of processing visual object
appearing on the right side visual field due to a lesion in the parietal lobe of the left part of the brain).
2
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
81
neurophysiologic cause and specific cerebral locus of the reading disorder. In this
framework, developmental dyslexia is still viewed as resulting from a phonological
disorder, which however would be associated with additional visual attentional deficits
whose role in reading difficulties still remains unclear.
Fig. 1. Schematic syntheses of the causal cascade (plain arrows) suggested by the
magnocellular and the SAS hypotheses. Dotted simple arrows represent causal links and
dotted double arrows associative links as suggested in the literature but which have been
questioned. Note that the SAS hypothesis explains many symptoms associated with
developmental dyslexia. Adapted from Lallier (2009).
1.2 The visual attention span deficit hypothesis: Developmental dyslexia as a
cognitive multifactorial disorder
So far we have reviewed hypotheses that have been put forward in order to explain
developmental dyslexia as resulting from a phonological disorder. However, it appears that
at least some dyslexic cases are clearly not phonological (Friedmann & Naachman-Katz,
2004; Friedmann & Rahamin, 2007; Rouse & Wilshire, 2007; Valdois et al., 2003; Valdois,
Lassus-Sangosse, & Lobier, In press), thus questioning the homogeneity of developmental
dyslexia. Instead, a growing body of evidence suggests that developmental dyslexia is
heterogeneous (e.g., Heim et al., 2008).
The visual attention span (VA Span hereafter) hypothesis put forward by Bosse, Tainturier
and Valdois (2007) is complementary to the phonological deficit hypothesis. It posits that
another cause of developmental dyslexia stands in a limitation of the visual attention
resources that can be allocated simultaneously to letters within words. This would in
particular prevent normal encoding of whole word orthographic information. The VA Span
therefore taps into parallel, simultaneous, processing, and VA Span resources are expected
to be limited in at least a subgroup of dyslexic children.
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The VA Span is a notion theoretically motivated by the Multi-Trace Memory model of
reading (Ans, Carbonnel, & Valdois, 1998; hereafter MTM model). The MTM model was the
first reading model to implement a visual attention component, called the visual attentional
window (which is the counterpart of the VA Span in human participants). The VA window
is a critical component of the reading system as it delineates the amount of orthographic
information which is under the focus of attention at each step of the reading process. The
MTM model postulates that reading relies on two global (parallel) and analytic (serial)
procedures that differ regarding the visual attention window size, and therefore,
regarding VA Span skills and the quantity of visual attention devoted to processing. In
global mode, the window opens over the whole letter string whereas in analytic mode, it
narrows down to focus attention on each orthographic sub-unit of the input word in turn.
Although these two procedures are a priori not devoted to reading specific item types,
most familiar items (in particular previously learned words) are processed in global mode
whereas non-familiar items (most pseudowords) are processed in analytic mode. The
visual attentional window therefore corresponds to the set of visual elements over which
the visual attentional focus falls.
Following this theoretical framework, it was reasoned that a VA Span reduction (i.e., a
reduction of the number of visual letters that can be processed simultaneously) should
prevent normal encoding of the orthographic sequence of most words (Bosse et al., 2007).
According to this idea, a reduced VA Span would be particularly detrimental when reading
irregular words that cannot be accurately decoded serially.
The VA Span is typically measured using whole and partial letter report tasks which require
naming all of the letters of a five-consonant string or a single post-cued letter within the
string (see Fig 2). In partial as in global report, participants have to process all five
consonants since the position of the letter to be reported is randomly chosen and the cue in
partial report only occurs at the offset of the consonant string. Moreover, sequences are
displayed for a time period short enough to avoid useful ocular saccades (<200ms), so that
participants have to engage enough visual attention resources to process all five elements
simultaneously (Lobier, Przybylski, & Valdois, Submitted; Peyrin, Lallier, & Valdois, 2008;
Peyrin, Démonet, N´Guyen-Morel, Le Bas, & Valdois, 2011). Only consonants are used as
stimuli to compose unpronounceable illegal letter strings. In random consonant strings,
identification of one consonant within the string does not help identifying the other
consonants, so that the number of reported letters provides a good account of the number of
distinct elements that can be processed simultaneously. To avoid any potential top-down
influence of orthographic knowledge on performance, the consonant strings we use do not
include any multi-letter grapheme or frequent bigram (as CH or FL in French). Moreover,
sequences do not correspond to the skeleton of any word (e.g., C M P T R for computer),
since we know that such consonant strings activate the corresponding word orthographic
information in long term memory. In the whole report task, the five elements need to be
verbally reported without order constraint whereas in the partial report task the cued letter
alone has to be reported. Accordingly, responses as “RHSDM”, “SDHRM” or “DSRMH” are
all considered as accurate (quoted 5/5) for the “RHSDM” input in global report, since all
five consonants have been accurately identified in all three cases. A deficit on such tasks is
reflected by a poor accuracy report score, interpreted as a reduction of the VA Span.
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
83
Fig. 2. Schematic illustration of the whole and partial report tasks. The whole report task
requires naming as many of the 5 consonants as possible without order constraint (a.). The
partial report task requires a single cued letter to be named (b.).
The link between VA Span skills and reading has been observed in a group study conducted
in two populations of dyslexic children (68 French speaking dyslexic children and 29
English dyslexic children) whose performance was compared to age-matched children
(Bosse et al., 2007). All children were given a screening battery comprising reading tasks,
phonological awareness tasks and the whole and partial report tasks. Results showed that a
large part of dyslexic children exhibited either a specific and selective phonological deficit or
a specific and selective VA Span deficit. On the other hand, a smaller group of children
exhibited a double deficit (i.e., on phoneme awareness and visual letter report tasks).
Moreover, the results of the study in French speaking children revealed that both
phonological and VA Span skills independently explained a significant part of variance in
reading performance. The study in the English speaking children confirmed that VA Span
skills contribute to reading abilities even when non verbal IQ, verbal fluency skills,
vocabulary and the performance on a single letter identification task are controlled for.
Bosse et al. (2007)’s findings therefore suggest that at least two independent cognitive
disorders underlying developmental dyslexia can be observed. Their conclusion is
furthermore supported by a case study in two French dyslexic teenagers showing that a
reading disorder of the same severity could either be accompanied by a phonological
disorder (rhyme judgment, sound categorization, phoneme and syllable omission, phoneme
segmentation, acronyms) associated with a phonological dyslexic profile (impaired
decoding skills illustrated by poor pseudoword reading and spelling skills) in the absence of
any VA Span deficit on the two report tasks, or by a VA Span disorder associated with a
surface dyslexia profile (poor lexical reading procedure illustrated by poor word reading
and spelling) with no additional phonological disorder (Valdois et al., 2003).
The role of VA Span skills in normal reading development was investigated in a crosssectional study conducted on large samples of typically developing children from 1st to 5th
grade (Bosse & Valdois, 2009). Results showed that VA Span abilities contributed to reading
performance from the early stages of literacy instruction even after controlling for variations
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in phonological performance. Indeed, the unique contribution of VA Span to reading
performance was observed from the first year of literacy instruction at a time phoneme
awareness skills played an important (but independent) role in reading acquisition.
Furthermore, VA Span performance contributed preferentially to irregular word reading
(i.e., word-specific orthographic knowledge) as compared to pseudoword reading.
Moreover regarding spelling abilities, the findings of Valdois and Bosse (Submitted) in 1st,
3rd and 5th graders strengthen the role of VA Span skills in orthographic knowledge
acquisition. These authors show that VA Span skills and phonological skills independently
contribute to the acquisition of orthographic knowledge. Moreover, VA Span contribution to
word spelling accuracy remains even after accounting for the children's recoding skills. This
suggests a role of VA Span in the acquisition of word specific orthographic knowledge. VA
Span contribution to word spelling is more stable than phoneme awareness contribution
over grades, suggesting a long-term influence of the VA Span on the acquisition of
orthographic knowledge. In sum, a large body of data from dyslexic and typically
developing children supports a role of the VA Span in reading and spelling. The overall
data points to the involvement of VA Span in the acquisition of orthographic knowledge
and suggests this visual attention mechanism may act as a self-teaching device process.
The VA Span hypothesis postulates that the component preventing dyslexic individuals
from performing accurately a multi-element array of stimuli does not relate to any type of
verbal or phonological disorder but rather, to visual attention (Bosse et al., 2007; Peyrin et
al., 2011). It has however been argued that poor performance in letter report tasks might be
due to verbal deficits in encoding and reporting letters, and as such reflected a visual-tophonology code mapping disorder (Ziegler, Pech-Georgel, Dufau, & Grainger, 2010) rather
than a visual attention resource limitation. Ziegler et al. (2010)’s account is based on data
from a forced choice detection task in which children were shown briefly presented strings
of letters, digits or symbols. At the offset of the multi-character string, participants had to
choose which one of two characters previously occurred in a cued position within the string.
Results showed that dyslexic children performed poorly when asked to process letter or digit
strings but at the level of control children when processing symbol strings. The authors
reasoned that a VA Span disorder would have predicted a deficit whenever multi-element
parallel processing is required independently of the nature (alphanumeric or not) of the
stimuli. Against this expectation, their data showed that the disorder was restricted to
alphanumeric material. They thus concluded that their findings did not support the VA Span
deficit hypothesis but rather suggested a visual-to-phonological code mapping disorder.
It is however noteworthy that the letter/digit versus symbol character not only differ in their
phonological characteristics (pronounceable versus non pronounceable characters) but also
in the visual ones (familiar versus unfamiliar visual shapes), so that differences in processing
might follow from one or the other dimension.
Against the phonological account, data shows that:
-
a visual-to-phonological code mapping interpretation cannot account for the whole data
set;
the VA Span disorder extends to non-verbal tasks and non-verbal material.
With respect to the first point and against the visual-to-phonological code mapping disorder
interpretation, Valdois et al. (In press) showed that dyslexic children are not systematically
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
85
impaired in tasks involving visual-to-phonological code mapping. Dyslexic and control
children were asked to perform a 5-elements report task using letters, digits and color
patches as stimuli. All three conditions required verbally reporting as many letter, digit or
color names as possible at the offset of the multi-element string. Accordingly a visual-tophonological code mapping disorder was expected to impact all three conditions. Against
this expectation however, dyslexic participants were found to exhibit poor performance in
letter and digit string report tasks but no disorder in the color string report task. This result
goes against the visual-to-phonological code mapping disorder hypothesis.
Moreover, Valdois et al. (In press) reported a second experiment in which dyslexic children
were administered two versions of the whole letter report task. Both conditions required the
oral report of all five letter-names at the end of processing but the whole report task was
either performed alone or together with a concurrent phonological articulation task (i.e., of
counting aloud). The concurrent articulation task taxed phonological processing and verbal
short-term memory and as such prevented online verbal encoding of letter names during
visual processing. Dyslexic children exhibited a similar VA Span deficit in the two
conditions, suggesting that performance was not modulated by on line verbal encoding.
This last result suggests that difficulties of dyslexic participants on the whole report task do
not result from a verbal encoding deficit.
Moreover, Lobier, Lassus-Sangosse, Zoubrinetzki, and Valdois (In press) administered a
categorization task which required parallel processing of multi-elements within strings to a
group of dyslexic children selected for their poor performance in visual letter report tasks.
The categorization task involved the processing of verbal (digits and letters) or non-verbal
(Japanese Hiragana characters, pseudo letters, and unknown geometrical shapes) characters.
The study aimed to assess whether this group of dyslexic children exhibited similar
difficulties in the processing of alphanumeric and non-alphanumeric character strings. The
dyslexic participants with a VA Span deficit were found to be impaired on the visual
categorization task regardless of whether the stimuli to be processed were verbal or nonverbal. They were thus impaired in a non-verbal task using non-verbal stimuli as they were
found impaired in the letter report task. Taken together, these results provide strong
evidence against a phonological account of poor letter string processing and VA Span skills
in developmental dyslexia.
The currently available neurobiological data collected during parallel multi-element
processing are well in line with the VA Span interpretation. Data from adult skilled readers
showed that the letter report task elicited increased activation of the superior parietal
lobules bilaterally and that activation of these regions was reduced in the dyslexic
participants (Peyrin, et al., 2008). In another study carried out on dyslexic and non-dyslexic
children, participants were administered a categorization task comprising two isolated and
flanked conditions (inspired from Pernet, Valdois, Celsis, & Démonet, 2006) under fMRI
(Peyrin et al., 2011). In both conditions, two stimuli – either two letters or two geometrical
shapes or one of each – were simultaneously displayed, one stimulus was centrally
presented on the fixation point, the other one was randomly presented in the right or left
visual field. In the flanked condition, the peripheral stimulus was flanked with two “X”s
whereas it was presented alone in the isolated condition. Participants had to decide whether
the two stimuli belonged to the same category or not. Results replicated previous findings in
showing that VA Span impaired dyslexic children were characterized by reduced
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activations within the superior parietal lobules bilaterally (Peyrin et al., 2011). Thus, multielement parallel processing relies on brain regions that are well known for their
involvement in visual attention. More recently, Lobier et al. (Submitted) investigated
whether these parietal regions were sensitive to the alphanumeric or non-alphanumeric
nature of the stimuli. They administered a non-verbal categorization task under fMRI using
either letters or digits as targets, or pseudo-letters, shapes and hiragana characters. They
found that the superior parietal lobules were involved in the processing of both
alphanumeric and non-alphanumeric character strings and that activity in these regions was
reduced in dyslexic individuals regardless of character type (i.e., strings composed of
alphanumeric or non alphanumeric elements).
The overall results of the series of studies of Valdois’team thus support the existence in a
subset of dyslexic individuals of a parallel multi-element processing disorder, i.e. a VA Span
disorder, that relates to a superior parietal lobules dysfunction and dissociates from
phonological problems.
2. SAS versus VA Span hypotheses: Sequential versus simultaneous
processing deficits in dyslexia
We previously presented a set of hypotheses that sought to explain the cognitive origin of
developmental dyslexia. The first part was devoted to the description of the phonological
hypothesis which postulates that reading difficulties result from a specific impairment
affecting the processing of phonological stimuli, then resulting in difficulties in mapping
graphemes to phonemes during reading. Among the hypotheses presented, the SAS
hypothesis postulates a deficit at the attentional level which would then lead to
developmental reading disorders.
In the second part, we presented a multifactorial view of the cause of developmental
dyslexia: the VA Span hypothesis. This hypothesis assumes that atypical reading
development can either stem from a phonological deficit, or a visual attention deficit
affecting the simultaneous processing of multiple visual stimuli. In preventing simultaneous
processing of letters within the word string, the VA Span disorder is expected to prevent
normal encoding of whole word forms, thus leading poor word-specific orthographic
knowledge acquisition.
It is noteworthy that the type of attention processes described in the SAS and the VA Span
hypotheses corresponds to what could be named “perceptual” or “automatic” attention.
Such attention processes are thought to facilitate the processing of stimuli falling under the
focus of attention during the first 200-250 msec after engagement of the attentional focus.
Looking at the SAS and VA Span hypotheses more carefully, we can observe that they offer
complementary accounts for developmental dyslexia. While they both assume that a parietal
dysfunction is the cerebral origin of the reading disorder, the two hypotheses differ in the
sense that the parietal impairments described would lead to distinct, independent, cognitive
deficits: a phonological deficit for the SAS hypothesis, and a visual attention deficit for the
VA Span hypothesis. Moreover, it is assumed that the mechanisms underlying phonological
and VA Span processing would a priori engage distinct dimensions of processing: one
sequential, and the other simultaneous.
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87
Interestingly, the SAS and VA Span hypotheses both predict visual attention problems in
developmental dyslexia, but while the VA Span hypothesis assigns to the visual attention
disorder a causal role in developmental dyslexia, the SAS hypothesis rather predicts an
association between reading and sequential visual attention skills than a causal relationship,
unlike what is posited in the auditory modality. Furthermore, the SAS hypothesis predicts
sequential attention deficits in both the auditory and visual modalities whereas the VA Span
hypothesis a priori predicts that the simultaneous attention deficit in dyslexic individuals is
restricted to the visual modality only (see Fig 3).
The figure below provides a schematic representation of the different predictions of the SAS
and VA Span hypotheses regarding visual and auditory processing deficits in
developmental dyslexia.
Fig. 3. Schematic representation of the VA Span and SAS hypotheses. The two hypotheses
postulate that a parietal dysfunction yields the reading disorder through distinct cognitive
impairments (VA Span and phonological disorders respectively). Thick arrows illustrate the
causal cascade of impairments leading to developmental dyslexia for each of the two
hypotheses. Dotted arrows indicate causal links (simple arrows) or associative links (double
arrows) with no or weak support in the literature.
In the following section, we will present arguments in favor of a dissociation between the
two hypotheses and between the expected attention impairments. The data that will be
presented will address two main questions:
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1.
2.
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The question of amodality will be first addressed. Indeed, Hari and Renvall (2001) in
their initial proposal argued for an amodal SAS in developmental dyslexia. They
however reported studies that assessed SAS in either the visual or the auditory
modality, but never explored the two modalities in the same dyslexic participants,
therefore questioning the amodality of the sequential deficits. We will examine to what
extent sequential and simultaneous attention deficits quantified on similar paradigms in
both the auditory and the visual modalities can be observed in the same dyslexic
participants.
The second question that we will address is to what extent sequential and simultaneous
deficits relate respectively to the phonological and VA Span disorder in developmental
dyslexia. In particular, the link between SAS and phonological disorders was never
directly assessed in the previously mentioned studies, thus questioning the validity of
the causal link between SAS skills and phonological deficits in dyslexia.
Based on experimental evidence, we will argue that sequential and simultaneous attention
deficits may play independent roles in the reading disorder, in hindering the development
of independent cognitive components which are both required for normal reading
acquisition.
2.1 Amodal sequential and simultaneous processing deficits
2.1.1 Sequential processing deficits
Few studies straightforwardly addressed the question of amodal attentional processing
deficits in dyslexia, since research interests have largely focused on the amodal perceptual
deficit hypothesis. Disorders extending over several modalities, as expected by the SAS
hypothesis, have then been reported (Meyler & Breznitz, 2005). However, a fair amount of
data failed to highlight amodal rapid sequential processing disorders in dyslexic
individuals, either because of the absence of deficit in the visual modality (e.g., Eddins &
Green, 1995; Laasonen et al., 2001; Reed, 1989; Welch, DuttonHurt, & Warren, 1986) or
because of the absence of deficits in both modalities (e.g., Bretherton & Holmes, 2003;
Laasonen et al., 2000).
Such inconclusive results in the visual modality (as opposed to the auditory modality) could
reflect the absence of causal role of visual sequential deficits in developmental dyslexia (see
Skottun, 2000). They could also follow from the heterogeneity of the dyslexic population
and lack of characterization of the cognitive deficits underlying the reading disorder of
dyslexic participants at the individual level. Indeed, knowing that all cases of
developmental dyslexia are not associated with phonological disorders (Bosse et al., 2007),
performance may have been influenced by the heterogeneity of the phonological disorders
in the dyslexic sample. In line with this hypothesis, Meyler and Breznitz (2005) who
reported a phonological deficit in their dyslexic group did find an amodal sequential deficit
in their dyslexic participants.
Differences in the choice of experimental paradigms could also have led to inconsistent
results in the observation of amodal sequential deficits in dyslexia. In the original proposal
of Tallal (1980), rapid temporal deficits were assessed with order or similarity judgment
tasks composed of two stimuli only. Interestingly, the SAS hypothesis predicts deficits on
Sequential Versus Simultaneous Processing Deficits in Developmental Dyslexia
89
sequences of multiple (i.e., more than two) stimuli as used in paradigms of stream
segregation (Helenius et al., 1999) or attentional blink (Hari et al., 1999). These paradigms
seem more appropriate to capture the nature of the auditory and visual processes engaged
for the encoding of speech streams or orthographic sequences (these paradigms will be
described later in this chapter).
Therefore, we propose that an assessment of SAS amodal deficit in dyslexic participants
should be conducted 1) with tasks requiring the processing of long stimulus sequences (see
Meyler & Breznitz, 2005, for a similar proposal) and 2) in groups of participants with
developmental dyslexia diagnosed with a phonological deficit.
2.1.2 Simultaneous processing deficits
The role of amodal simultaneous processing in reading development has barely been
studied. We are aware of only one study which tried to capture amodal simultaneous
processing deficit in dyslexia. Geiger et al. (2008) administered to a group of dyslexic
children two similar tasks, one in the visual modality, the other one in the auditory
modality. In the visual modality, participants were asked to recognize letter stimuli
presented in the center of a screen and ignore the letter stimuli in the periphery. In the
auditory modality, they had to recognize auditory lexical stimuli presented via speakers
located in front of participants (i.e., centrally) with or without the presence of auditory
simultaneous peripheral lexical stimuli. Dyslexic children were found to exhibit difficulties
in recognizing the central stimuli presented with external noise in both the auditory and the
visual modalities. The authors concluded to a “wider perceptual mode” in the dyslexic
children, which in turn may hinder their ability to focus on relevant stimuli and inhibit
irrelevant information. Unfortunately, this study did not specify whether the assessed
dyslexic children exhibited a phonological deficit, making impossible to determine whether
such simultaneous processing deficits were found regardless of phonological deficits, as the
VA Span hypothesis would predict.
2.2 Assessing visual and auditory sequential and simultaneous deficits in relation to
phonological and VA Span disorders in developmental dyslexia
In the following section, we will present evidence that sequential and simultaneous
disorders in developmental dyslexia can be found in the same dyslexic participants in both
the visual and the auditory modalities. Moreover, we will argue that:
1.
2.
sequential and simultaneous automatic attention processes rely on different
mechanisms;
these mechanisms relate to potentially independent literacy-related cognitive abilities,
i.e., phonological (sequential) or VA Span (simultaneous), leading to different dyslexia
subtypes.
We first need to emphasize the fact that when investigating auditory and visual non-verbal
attention or perception abilities, the underlying cognitive deficits of the dyslexic group
should be precisely defined. This is critical in order to investigate the extent to which deficits
in non-verbal abilities are linked and result to specific cognitive dyslexic symptoms (i.e.,
phonological or VA Span disorders). Disregarding this first step may lead to highly
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heterogeneous performance in the dyslexic group, hence inconsistent observations between
studies.
So far, most of the studies aiming to assess sequential deficits in individuals with
developmental dyslexia implicitly assumed that the dyslexic participants exhibited a
phonological deficit. Furthermore, other studies which explicitly reported a phonological
processing deficit based their diagnosis upon pseudoword reading difficulties (i.e.,
decoding or sub-lexical reading difficulties), but pseudoword reading does not only require
phonological abilities but also engages visual attention (Bosse et al., 2007; Bosse & Valdois,
2009; Facoetti et al., 2006; Facoetti et al., 2010; Vidyasagar & Pammer, 2010).
A number of case studies have now been reported (Dubois et al., 2010; Peyrin, Lallier, Baciu,
Démonet, Le Bas, & Valdois, In press; Valdois et al., 2003; Valdois et al., In press) showing
that dyslexic individuals (adults or children) with a single VA Span deficit may suffer from
poor pseudoword reading abilities (reading accuracy and/or reading speed) in spite of any
difficulties in “pure auditory” phonological processing skills.
From these considerations, it appears critical to systematically base the diagnosis of
phonological disorders in dyslexic patients on measures of auditory phonological
processing rather than on decoding skills. This precaution alone can ensure avoiding the
impact of visual attention on performance, which would no longer reflect the “phonological
disorder” primarily targeted.
We therefore will present data from a series of studies suggesting that sequential attention
skills preferentially relate to phonological (and not decoding) skills rather than VA Span
skills. We chose two experimental paradigms - the attentional blink and the stream
segregation paradigms - that we thought had a great sensitivity to capture the rapid
sequential processing abilities required for reading acquisition development (presentation of
multiple stimuli in rapid sequences). These two tasks are supposed to allow the evaluation
of temporal automatic attention deployment via attentional shifting, i.e., the successive
engagement and disengagement of the attentional focus over a sequence of multiple stimuli.
2.2.1 Amodal sequential processing assessment: The attentional blink
Hari and Renvall (2001) predict that a prolongation of the attentional dwell time (see section
1.1.3 for a definition) in all sensory modalities would result in developmental dyslexia. The
attentional dwell time has been highlighted in rapid serial presentation paradigms (10
items/sec) requiring the identification and/or detection of two targets (T1 and T2)
embedded in a series of distracters. When the two targets are present in the sequence,
performance on T1 is high whereas performance on T2 is lower. This drop of T2
performance (also called the attentional blink) is all the more interesting that it varies
according to its temporal position as regards the presentation of T1 (Raymond et al., 1992).
In attentional blink tasks, two conditions are generally used: a dual task condition (see white
dots in Fig 4.a.) where participants have to identify T1 and detect the presence or absence of
T2, and a single task condition (see black squares in Fig 4.a.) which serves as a baseline, and
where T1 is absent and only T2 has to be detected. Results on this task show an attentional
blink, which is typically observed during a temporal window of about 300-500 ms after T1
presentation. In order to characterize the attentional blink more accurately, Cousineau,
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91
Charbonneau, and Jolicoeur (2006) measured the phenomenon according to four parameters
defining a curve fitting function (see Fig 4.b.): the duration parameter corresponds to the
duration of the attentional blink, the amplitude parameter corresponds to the difference
between the best and the worst performance and indicates the severity of the attentional
blink, the minimum parameter corresponds to the worst performance, and lag-1 sparing
parameter corresponds to the speed at which T1 processing starts to have a negative impact
on T2 processing. The SAS hypothesis predicts a longer attentional blink duration in
dyslexic participants with phonological disorders.
Fig. 4. Representation of the typical pattern of performance obtained in attentional blink (a).
When compared to the single task condition (black squares), performance on the dual task
condition (white dots) drops for the first four positions of T2 after T1. The four attentional
blink parameters adapted from Cousineau et al. (2006) are presented in (b).
Several studies have shown that dyslexic individuals exhibit a prolonged visual attentional
blink (lasting in average 600-800 ms) as compared to normal readers (e.g., Hari, Valta, and
Uutela, 1999b; Visser, Boden, & Giaschi, 2004; Facoetti, Ruffino, Peru, Paganoni, & Chelazzi,
2008). This finding suggests that T1 captures visual attention resources for longer time in
dyslexic participants than in control participants. However, research conducted on the
attentional blink in impaired readers has given rise to discrepant results and has been
subject to criticisms (Badcock, Hogben, & Fletcher, 2008).
Overall, previous studies conducted in dyslexic participants suffer from a lack of
homogeneity regarding either the characterization of the cognitive deficit underlying
dyslexia (i.e., phonological or VA Span disorder), or methodological aspects. Furthermore,
although the attentional blink had been highlighted in the auditory modality (e.g., Vachon &
Tremblay, 2008), no study had examined whether dyslexic participants presented an
atypical attentional blink in this modality as in vision.
In a first study (Lallier, Donnadieu, Berger, & Valdois, 2010a), we assessed the amodality
assumption of the SAS hypothesis by administering two similar attentional blink tasks in the
visual and the auditory modalities to a French dyslexic adult participant, LL, and a group of
skilled reader adults. The neuropsychological assessment of LL revealed that this patient
suffered from a phonological dyslexia as characterised by slowed pseudoword reading rate
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and poor pseudoword spelling. LL further had poor pseudoword repetition and poor
phoneme awareness skills, thus reflecting an underlying phonological disorder. On the
contrary, LL showed normal simultaneous processing of letter strings on the whole and
partial report tasks, thus suggesting preserved VA Span abilities.
The visual attentional blink task consisted in the rapid serial presentation of black digits. T1
was the only red digit in the stream and it was either 1 or 5. T2 was the digit 0 and was black
like the distracters. The auditory attention blink task consisted in the rapid serial auditory
presentation of sounds. Pure tones were used as distracters and a higher-pitched tone of
4000 Hz was used as T1 target. This tone was either a complex tone (sounding like a locust
cry) or pure tone (sounding like a bird cry), giving rise to two distinct perceptions. T2 was a
pure tone of 600 Hz belonging to the distracters’ frequency range but it was delivered at a
higher amplitude level (i.e., it was louder). In the dual task condition, participants were
instructed to attend to and name T1 (1 or 5 digits; pure or complex tones) while judging
whether T2 occurred or not (number 0; louder sound). For both the single and dual task
conditions, we took into account eight T1-T2 lags in the analyses, i.e., from lag 1 (no
intervening items, ISI = 60 ms) to lag 8 (ISI = 760 ms). For each of the visual and the auditory
tasks, participants were instructed to name T1 and/or report aloud whether T2 was present
or not, after each sequence was seen or heard.
Fig. 5. Visual (a.) and auditory (b.) attentional blinks in the control group (plain lines) and in
LL (dotted lines) for the single task condition (black dots) and for the dual task condition
(white dots). From Lallier et al., 2010a.
When LL’s performance was compared to performance of skilled readers, it revealed
atypical visual attentional blink duration and atypical auditory attentional blink amplitude
(see Fig 5). Both atypical attentional blinks were interpreted as reflecting prolonged
attentional dwell time, thus demonstrating amodal SAS skills in LL. Interestingly, this
amodal disorder was reported in a dyslexic participant with a phonological disorder, in
accordance with the SAS hypothesis. Moreover, the auditory and visual attentional blink
deficits were found independently of any VA Span disorder, suggesting that sequential and
simultaneous attention processing could dissociate and might independently contribute to
developmental dyslexia.
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In a second study (Lallier, Donnadieu, & Valdois, 2010b), we used the curve fitting method of
Cousineau et al. (2006) to quantify and better define the visual attentional blink deficit of
dyslexic children. We further explored whether any parameter specifically related to their
phonological disorder (Lallier et al., 2010b). Fourteen dyslexic children and 14 age-matched
control children took part in the experiment. The dyslexic group was impaired in phonological
short-term memory and showed marginally poor phoneme deletion skills but performed as
well as the controls on the partial or whole report task, thus suggesting preserved VA Span
skills (Lallier, 2009). All children were given the same visual attentional blink task as in Lallier
et al (2010a). A group effect was revealed on the attentional blink minimum parameters,
reflecting a lower minimum for the dyslexic group than the control group, but no difference
regarding duration of the attentional blink. Correlation analyses on the whole sample revealed
that the attentional blink minimum and amplitude parameters significantly correlated, and
that attentional blink amplitude was significantly related to phonemic deletion skills.
From these findings and previous other results, it seems that deficits in several attentional
blink features (see Fig 4) could occur in the same dyslexic participants. Indeed, both atypical
attentional blink “duration and minimum” (Facoetti et al., 2008; Hari et al., 1999) and
“duration and amplitude” (Lallier et al., 2010a) have been reported in the same participants.
Such result is a priori not surprising given the correlation reported between all three
parameters (Cousineau et al., 2006).
To sum up, our two studies assessing sequential attention processing with attentional blink
tasks in dyslexic participants showed that a visual sequential attention deficit can be found in
the absence of any visual simultaneous attention disorder. Moreover, both auditory and visual
SAS skills were preferentially associated with phonological deficits in developmental dyslexia.
2.2.2 Amodal sequential processing assessment: Stream segregation
In another series of studies we will present in this section, we used the experimental
paradigm used for the assessment of stream segregation. Interestingly, stream segregation
can be observed in the two modalities. In the auditory modality (Bey & McAdams, 2003),
stream segregation occurs when sequences of auditory stimuli alternate in pitch/auditory
frequency (e.g. high and low pitch tones). In the visual modality (Bregman & Achim, 1973),
segregation occurs when sequences of visual stimuli alternate in spatial locations (e.g. visual
dots appearing above and below fixation). The resulting percept depends on both temporal
and auditory frequency/visual distance intervals between two successive stimuli (Van
Noorden, 1975).
For adequate auditory frequency/visual distance intervals, two perceptual temporal
patterns can occur (see Fig 6):
i.
ii.
When time interval is long enough, a unique auditory stream alternating high and low
pitch tones (or a unique visual object composed of two dots bouncing up and down) is
perceived.
For short enough intervals, the participants perceive two different auditory streams,
one high- and the other low-pitched (or two visual dots flickering in parallel).
Focusing on the temporal aspects of the phenomenon, auditory stream segregation has been
assessed in dyslexia, showing that dyslexic individuals required longer ISIs to perceive the
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one unique auditory stream (i.e., the alternation of two distinct sounds) as compared to
skilled readers. Hari and Renvall (2001) interpreted this result as evidence for auditory SAS
skills in individuals with developmental dyslexia.
In the following series of experiments, we used the paradigms of Helenius et al. (1999) in the
auditory modality, and designed a similar paradigm to assess stream segregation skills in
the visual modality. For both tasks, we measured stream segregation thresholds according
to an adaptive procedure that allows varying the ISI between the successive stimuli in the
sequences according to the answer/perception of participants (“one stream”, cf Fig 6.a., or
“two streams”, cf Fig 6.b.).
Fig. 6. Schematic representation of the stream segregation procedure. The dotted arrows
symbolise the one stream (a., longer ISIs) or two streams (b., shorter ISIs) conditions. From
Lallier et al. 2010c.
Stream segregation thresholds correspond to the ISI for which participants cannot
straightforwardly decide if they perceive one stream or two streams of stimuli,
corresponding to a response “at chance”.
We interpreted stream segregation thresholds as an estimation of the fastest speed at which
attention could engage and disengage automatically from one stimulus to another in order
to perceive them as independent entities.
The first study (Lallier et al., 2009) combined two experiments: one with children, one with
adults. In the first experiment, we tested 36 children on both the visual and the auditory
stream segregation tasks. Twelve children were diagnosed as dyslexic and, as a group,
showed a phonological impairment (phoneme deletion and phonological short term
memory) together with a mild VA Span disorder illustrated by a deficit on the whole report
task but not on the partial report task (Lallier, 2009). The other participants were either
skilled readers (12 children) or poor readers (12 children). The three groups of children were
matched for chronological age but significantly differed between each other on their reading
skills.
Results on the segregation tasks showed that dyslexic children exhibited higher auditory
thresholds than the two other groups of non dyslexic readers, suggesting SAS skills in the
dyslexic group as compared to the non dyslexic groups (see Fig 7.a., top graph).
Furthermore, poor readers exhibited a higher auditory threshold than skilled readers. Such
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95
results suggest a strong link between reading skills and auditory stream segregation
thresholds and consequently, between reading skills and auditory automatic attention
shifting, which was also supported by correlation analyses. In the visual modality no
difference was reported between any of the groups (see Fig 7.a., bottom graph).
Fig. 7. Mean auditory and visual stream segregation thresholds (average ISI on the last 10
trials) together with standard error bars in children (a.; dyslexic readers, black dots; poor
readers, white squares; good readers, white dots) and adults (b.; dyslexic readers, black
dots; skilled readers, white dots). Adapted from Lallier et al. 2009.
The second experiment (see Fig 7.b) was carried out with 10 skilled readers and 10 dyslexic
young adults. As a whole, the dyslexic group showed difficulties in performing a
spoonerism task, reflecting poor phonological awareness skills. Furthermore, the group
presented a VA Span disorder as compared to controls, illustrated by difficulties on both the
whole and the partial report tasks (Lallier, 2009). Results on the two stream segregation
tasks showed that dyslexic adults obtained auditory and visual higher stream segregation
thresholds as compared to the control group: this means that they needed more time than
the control individuals between successive stimuli, i.e., longer ISIs, in order to perceive them
as single entities. The results on both the visual and the auditory task thus reflected amodal
SAS skills in the dyslexic group. In addition, significant relationships were found in the
whole group of participants (dyslexic and control individuals) between SAS, poor reading
and poor phonological skills, even after controlling for non-verbal IQ and chronological age.
No such relation was found between VA Span skills and visual or auditory stream
segregation thresholds (Lallier, 2009).
Overall, the results of the two experiments of Lallier et al. (2009) with children and adults
support the view that auditory SAS impacts on phonological abilities, and plays a role in
developmental dyslexia. In addition, the comparison between children and adult results
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suggests that a visual sequential disorder in dyslexia might emerge at a later developmental
stage, when the visual system normally becomes more expert at rapid temporal processing.
In the second study (Lallier et al., 2010c), we quantified both auditory and visual stream
segregation thresholds in 13 dyslexic young adults with a phonological awareness deficit as
a group (poor performance on phonemic deletion and spoonerisms) and 13 control
participants, matched for cognitive abilities. Consistent with Lallier et al. (2009), we found
higher auditory and visual stream segregation thresholds in the dyslexic group as compared
to the controls, thus evidence for amodal SAS skills. We then used electrophysiological
measures allowing us to capture the electric activity produced naturally by the brain, to
determine to what extent brain responses of these dyslexic participants would reflect their
atypical perception of visual and auditory stimulus sequences. For the electrophysiological
experiment, the auditory and visual sequences administered to the participants varied
according to different tempos that were carefully chosen based on preliminarily obtained
thresholds. Participants were presented with blocks of 4 min-long sequences of either the
same auditory or the same visual stimuli as those used in the stream segregation tasks,
whilst their brain responses were recorded by electroencephalography (i.e., EEG). They
were asked to press a button as soon as they perceived a change in the speed of stimulus
alternation, and were not told or asked anything about the perception of unique or distinct
streams. Electrophysiological brain responses were recorded during the task, and
interpreted as an index of stimulus sequence perception. Results showed that dyslexic
participants presented atypical auditory and visual brain responses to tempos variations
within stimulus sequences as compared to controls.
Overall, these results strongly support the hypothesis that SAS in dyslexic participants
might be responsible for their atypical perception of rapid sequential stimulus sequences in
both the auditory and the visual modalities. In the auditory modality, the atypical brain
response elicited by rapid stimulus sequences is likely to index the atypical perception of
auditory speech streams in dyslexic participants with a phonological disorder. In the visual
modality, such abnormal rapid stimulus sequences perception could well relate to
difficulties encountered by dyslexic participants in rapidly shifting their attention along the
orthographic sequences composing texts (Hari & Renvall, 2001). The direct links between
stream segregation tasks and speech and orthographic strings processing still need to be
investigated. Furthermore, our results bring new evidence supporting the link between
amodal SAS and the phonological impairment in developmental dyslexia.
In our previous studies evaluating attentional blink or stream segregation performance in
dyslexic individuals, links between sequential attention deficits and the phonological and
VA Span disorders were studied by means of correlation analyses carried out on the whole
sample of participants (i.e., including both dyslexic and skilled readers), a choice that may
raise some methodological concerns. Furthermore, phonological and VA Span disorders
were always defined regarding the whole group of dyslexic participants (except for Lallier
et al., 2010a).
The next study conducted in adults (Lallier, Thierry, & Tainturier, Under Review b; Lallier,
Thierry, Valdois & Tainturier, In progress b) was conducted in order to ascertain the
relationships between amodal SAS skills and both phonological and VA Span disorders in a
more stringent way. We examined performance of three groups of participants on the
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stream segregation tasks. These three groups included (i) a group of nine skilled reader
adults, (ii) a group of nine dyslexic adults each of whom exhibited a phonological deficit at
the individual level (i.e., impaired on three phonological measures out of five, among
phonological working memory, phonological fluency, phonemic deletion, and spoonerism
time and accuracy), and (iii) nine dyslexic adults without any phonological deficit.
Regarding visual attention performance, the two dyslexic groups showed a significant VA
Span deficit on the whole report task as compared to the controls. On the partial report task,
the three groups of participants showed similar scores (Lallier et al., In progress b).
Importantly, the three groups were matched for non-verbal IQ and chronological age, and
the two dyslexic groups were matched for general reading and spelling abilities. Therefore,
we were in presence of a relatively pure phonological dyslexic group, and a nonphonological dyslexic group with a VA Span disorder. In line with the hypothesis of a
dissociation between phonological versus VA Span disorder and sequential versus
simultaneous attention deficits in developmental dyslexia, only the dyslexic group with a
phonological disorder exhibited higher auditory and marginally higher visual stream
segregation thresholds as compared to the control group (see Fig 8).
Fig. 8. Visual (a.) and auditory (b.) stream segregation thresholds together with standard
error bars in the dyslexic group with a phonological disorder (black dots), the dyslexic
group without phonological disorder (grey dots) and the control group (white dots).
Adapted from Lallier et al., Under Review b, and Lallier et al., In progress b.
Importantly, auditory thresholds significantly differed between the two dyslexic groups.
Looking at individual performance, 78% of participants with a phonological disorder (versus
11% without) were impaired on the auditory stream segregation task and 33% (versus 11%)
on the visual task. These results strongly support the hypothesis of a link between auditory
(and visual, but to a lesser extent) sequential deficits, impaired phonology, and reading
disorders, but do not suggest any link between VA Span disorder and auditory or visual
SAS in developmental dyslexia.
2.2.3 Amodal simultaneous processing assessment: Dichotic listening
In order to obtain a complete picture of the contribution of sequential and simultaneous
skills to reading difficulties in the dyslexic population regarding auditory processing, we
designed a task that we considered to be a reasonable auditory counterpart of the visual
whole report task (Lallier, Donnadieu, & Valdois, Under Review a). That way, we aimed to
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assess the amodality of simultaneous attention in dyslexic children. We chose a dichotic
listening paradigm (Cherry, 1953) which has broadly been used to assess simultaneous
auditory attention (e.g., Asbjörnsen & Hugdahl, 1995). In dichotic tasks, different auditory
sources of information are simultaneously displayed in the two ears. As opposed to the focal
attention condition where participants have to report the stimuli presented in one ear only,
the non focal attention reflect the performance of participants when they have to report the
stimuli presented in the two ears. The latter condition makes the participants allocate their
attention resources in parallel to the two ears and indexes some attention resources
limitation. We measured the report scores of participants in the latter condition in order to
quantify their simultaneous auditory attention abilities.
Fig. 9. Illustration of the dichotic listening task we used to assess simultaneous attention
resources. From Lallier et al., Under Review a.
The dichotic sequences were composed of three syllables sequentially presented in the right
ear and of three different syllables sequentially presented in the left ear (see Fig 9). More
importantly, the two series of syllables were carefully synchronized so that participants had
to process pairs of syllables simultaneously presented in the two ears. They were instructed
to listen carefully to the syllables presented in their right ear and in their left ear and to
report as many syllables as possible from both sides.
Because auditory syllables were used as stimuli, relations between dichotic performance and
phonological processes were likely to be shown. We therefore assessed VA Span abilities,
phoneme awareness skills and phonological short-term memory in dyslexic children
together with their dichotic listening performance. We reasoned that if phonological and VA
Span skills play different roles in reading acquisition and are respectively associated with
sequential and simultaneous processes (Lallier et al., 2010a), performance on a task
requiring a high degree of simultaneous resource allocation should fail to, or only weakly,
relate to phonological skills, even when participants are presented with phonological
stimuli. However, if poor dichotic listening performance is mainly driven by simultaneous
processing difficulties and if the simultaneous processing disorder is amodal, then dyslexic
children with a VA Span disorder should perform poorly on the dichotic listening task
whether or not they exhibit associated phonological deficits. On the other hand, if dichotic
listening poor performance is determined by difficulties in phonological/sequential
processing abilities, then individuals with phonological deficits should perform poorly on
the dichotic listening task regardless of their VA Span skills.
We assessed the dichotic listening performance of 17 dyslexic children and 17 skilled
readers. Results showed that the dyslexic group exhibited difficulties in reporting the
simultaneous syllables as compared to the controls. Moreover, in the dyslexic group, VA
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Span skills correlated positively with dichotic listening scores while phonological skills did
not correlate with either dichotic or VA Span measures. All the dyslexic children with a
dichotic listening deficit showed a VA Span disorder, but the VA Span disorder was not
systematically associated with poor dichotic listening. A high proportion of dyslexic
children exhibited a phonological short-term memory or a phonemic awareness deficit
whether or not they had difficulties on the dichotic listening task. Our findings suggest that
processing simultaneous auditory stimuli in developmental dyslexia may be impaired
regardless of any phonological deficit and be linked to similar difficulties in the visual
modality.
3. Conclusion
This chapter aimed to clarify the nature of the temporal dimension of processing (sequential
or simultaneous) relevant for the study of visual and auditory deficits (verbal or non-verbal)
in developmental dyslexia. First, our review of the available data suggests that processes
tapping into automatic attention mechanisms may be likely to highlight critical links
between auditory and visual deficits and reading disorders. Second, our series of
experiments provides new evidence for a potential dissociation between sequential and
simultaneous processing deficits in developmental dyslexia and their respective links to
distinct cognitive dyslexic profiles (VA Span and phonological disorders): when auditory
automatic attentional shifting speed seems to clearly contribute to phonological processing
(phonological awareness and phonological short-term memory in particular), the link
between similar visual measures and reading is weaker, as previously suggested in the
literature (e.g., Skottun, 2000). Our data further suggests that visual simultaneous disorders
could extend over the auditory modality in participants with dyslexia regardless of their
phonological skills.
3.1 The role of sequential versus simultaneous amodal attention processing in
reading
When looking at what reading is, it seems obvious that both the auditory and visual
perceptual-attentional systems have an important role to play. In their theoretical account
integrating auditory and visual networks together with their role in developmental dyslexia,
Pammer and Vidyasagar (2005) suggest that automatic spatial attentional orientation and
focalization are the amodal mechanisms playing a fundamental role in reading acquisition.
In the visual modality, such mechanisms would be in charge of screening and encoding at a
pre-orthographic level the visual letter strings, such as coding letter positions within the
string (e.g., Pammer, Lavis, Hansen, & Cornelissen, 2004), in order to facilitate grapheme-tophoneme conversion rules acquisition. In the auditory modality, similar attentional
mechanisms would be required to encode speech units to form adequate phonological
representations (Hari & Renvall, 2001).
In the present chapter, we proposed that auditory and visual mechanisms engaged in
reading acquisition require both sequential and simultaneous processes to encode
phonological and orthographic inputs. The first one, a sequential attention mechanism,
would lead the attentional focus to rapidly and automatically engage and disengage over
speech streams and orthographic sequences, whilst being guided by salient and relevant
cues (syllabic stress, Goswami, 2011; or visual syllable, Ans et al., 1998). The second one
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would be a simultaneous attention mechanism: because in real life situations the attended
auditory and visual inputs very rarely correspond to one single small unit (such as a letter
isolated on a blank page or a single phoneme presented in a quiet environment),
simultaneous processing resources are required in order to integrate (VA Span hypothesis)
or inhibit (noise exclusion deficit hypothesis, Sperling, Manis, & Seidenberg, 2005) all pieces
of information presented at the same time (e.g., multi-letter strings or multi-speaker
environments). Future studies will seek to determine to what extent these two mechanisms
in charge of processing multiple inputs presented simultaneously (i.e., integrating versus
filtering/inhibiting) contribute to literacy acquisition, and possibly independently of each
other.
3.2 The hypothesis of different independent time scales auditory and visual
processing and reading development?
Poeppel (2003) suggested that two types of time scales for auditory processing are relevant
and important for language acquisition: one would be handled by a very high oscillatory
auditory system, whereas the other would be linked to a low oscillatory auditory system.
Interestingly, the latter could possibly relate to sequential processing, whereas the former
could be more tightly related to the “simultaneous” dimension of processing which would
in this case correspond to a sequential processing at very high rate. Future studies will aim
to clarify whether these two time scales of processing could extend over the visual domain,
and to what extent they would impact on reading acquisition. Moreover, it will be necessary
to examine whether these two time scales of processing have different and possibly
independent roles in literacy acquisition, and lead to different subtypes of developmental
dyslexia.
4. Acknowledgment
The research presented in this chapter was funded by grants from the French “Ministère de
l’Enseignement Supérieur et de la Recherche”, the Fyssen foundation (postdoctoral
fellowship) and the European commission (Marie Curie fellowship, FP7, people, BIRD
project) attributed to M. Lallier. We thank all the dyslexic children and adults who took part
in our studies and to Dr Catherine Billard, Andrea Reynolds, Polly Barr and Céline Prévost
for their help in recruiting and testing the participants. We are very grateful to Dr MarieJosèphe Tainturier, Prof Guillaume Thierry and Dr Sophie Donnadieu for their valuable
help in this research.
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7
The Contribution of Handwriting and Spelling
Remediation to Overcoming Dyslexia
Diane Montgomery
Middlesex University, London and Learning Difficulties Research Project, Essex,
UK
1. Introduction
This research details results of casework, interviews, observations and case history analysis
of over 1000 dyslexics and those in schools who have not been referred. Their skills have
been compared with similar numbers of control subjects.
Subjects referred to English Dyslexia Centres tend to be those with the most severe
problems. Normal provision has failed with them. Remedial help within class and as an
additional support has also failed. In the English system the diagnosis of need for referral
for specialist tuition thus comes late, often at the transfer age of 10/11 years when the pupil
is about to leave primary and enter secondary school. The delay in diagnosis is due to the
Statementing system needed to gain additional resources, the specialist tuition, and lack of
agreed diagnostic indicators in the early years.
In the UK up to the age of 7 or 8 years additional support within school is given. If it has not
worked then a formal diagnosis is sought and expertise from a specialist tutor is applied for.
What this chapter will seek to show is that:
Diagnosis of dyslexia does not need to be delayed for several years until the child is a
three time failure but can take place in the Reception class by the class teacher with a
small amount of training.
Many of the so-called ‘remedial’ programmes are not effective but the few that are
effective need to be implemented as soon as possible to obtain the best results.
The focus on reading throughout dyslexia research and teaching practice is possibly a
mistake.
Dyslexia may not be ‘cured’ but can be overcome by the right sort of tuition in primary
school.
Dyslexia is not a disorder but caused by a deficit that results in an educational delay.
If dyslexia is remediated there can be associated improved behavioural outcomes.
2. What casework shows that experiments may not
Experimental research requires that the researcher comes to cases with a hypothesis about
the condition that is then tested and accepted or rejected. The hypothesis is based upon
detailed research of the relevant literature but this can mean that it is defined by that
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research and the prevailing paradigm or ‘zeitgeist’ (Snow, 1973). In case work the researcher
observes the case behaviours and tries to identify patterns that might lead to a hypothesis.
For example:
James is a 6.5 year old with an IQ of 147 on the Wechsler Intelligence Scale for Children
(WISC). He has failed to learn to read and does not know any of the sounds or names of
the alphabet. He can read some familiar common words and appears to know some of his
reading books off by heart.
The school has given him extra phonics and some one-on-one tuition. Because his parents
are informed about dyslexia and well-off they have had him tested privately and this has
enabled him to be more rapidly referred to the specialist tuition centre. The school has
supported this because James was becoming very disruptive.
What the researcher puzzles over in this case and others like it is how such a bright child who
can discuss God and the universe in great detail and is an expert on prehistoric monsters can
fail to learn the 26 names and / or sounds of the alphabet. He has also failed to learn the names
of the days of the week and the months in order and confuses left and right. On WISC his digit
span and Coding scores were typically low compared with his overall results.
We might infer from this data as many do, the popular conclusion that he has a short term
or working memory problem or a sequencing and orientation deficit. It follows from this
that the remedial programme would focus upon improving memory and sequencing skills.
Unfortunately it would be found to have little effect (Vellutino, 1979) as the inference from
fact to theory is not quite so straightforward. In addition, there is a further problem in that
training on hypothesised sub skills such as working memory (McGhee, 2010) and visual
sequencing does not necessarily transfer to the skills of reading (Smith and Marx, 1972). This
is often because the assumed subskills are not correctly defined (Montgomery, 1997a).
Our example case, James shows that his long term memory is very good as indicated by his
general knowledge of astronomy and dinosaurs. Vellutino (1987) demonstrated that
dyslexics’ performance on visual memory items might be good but as soon as they had to
verbalise or name the items as in some digit span tests performance was significantly
poorer. Koppitz (1977) had found similar results in her Aural – Visual - Digit Span (VADS)
test. She also showed that as reading improved so did the performance on the digit span
test. Montgomery (1997a) showed similar results. What we can conclude is that working
memory, sequencing deficits and failure to learn symbol-sound-correspondence or
alphabetic knowledge are associated problems in dyslexia but are not necessarily the cause
of it. They could all arise from a deeper problem.
2.1 Case study patterns
The case reports of more than 1000 dyslexics were recorded and analysed for patterns.
Pattern 1: Developmental dyslexia – these cases had a severe difficulty in learning to read
and spell. None of them had a severe reading difficulty without a severe spelling problem.
Pattern 2: Developmental dysorthographia - these had a severe difficulty in learning to
spell in the absence of a similar difficulty with reading. Some of the pupils had learned to
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read, self-taught at an early age or had an earlier reading difficulty that had cleared up. In
these latter cases the residual signs were slow reading and difficulties in skimming and
scanning text. All had poor writing and compositional skills. Very few had been referred for
remedial help in school.
Pattern 3: Developmental dysgraphia– 30% of the sample had difficulties in the area of
handwriting as a result of a motor coordination problem in the fine skills of penmanship.
This was often in the absence of reading difficulties but appeared to have caused problems
in spelling development through lack of writing practice.
Pattern 4: Developmental Coordination Difficulties (DCD - dyspraxia) – these had a
difficulty with motor skills, even after a reasonable period of skill acquisition. Those with
gross motor difficulties usually also had fine motor coordination difficulties especially with
handwriting and problems with spelling.
Pattern 5: Specific Language Impairment (SLI) – these cases had a record of early speech
therapy, late speech development, articulation difficulties or stuttering. Mild speech
difficulties may go undetected well into school age and in their more subtle forms have also
been implicated in dyslexia (Snowling and Stackhouse et al 1985). In each of her 20 pupils
the dyslexia tutor (McMahon, 1988) found a previously unrecorded history of speech
therapy, subtle word finding or slight articulation difficulties.
Pattern 6: Developmental dyscalculia – in some cases there was a recorded difficulty in
acquiring arithmetic skills and concepts especially in reciting tables and mental arithmetic
(Miles, 1993). Many of these difficulties could be accounted for by the difficulties in reading
and writing and with the dyslexic problems in establishing verbal codes (Montgomery
2011c).
Pattern 7: Complex specific learning difficulties – in some unlucky cases there were
several conditions, dyslexia, dyspraxia, dyscalculia and SLI. The complex condition made
their educational needs difficult to deal with in mainstream or in the remedial setting. In
these cases a school that specialised in dyslexia provision was essential to meet their needs
but was not always available. Severe cases are also likely to find their way to specialist
clinics and research centres and it is also the case that their complex difficulties often define
the way research on dyslexia is pursued and the results it obtains.
Pattern 8: Comorbidity – Dyslexia was often found associated with other specific learning
difficulties such as Attention Deficit Hyperactivity Disorder (ADHD) Asperger Syndrome
and dyspraxia (Kutscher 2005). Research by Montgomery, (2000); and Silverman, (2004)
showed that handwriting difficulty is an underlying problem in underachievement and can
be overlooked. It is comorbid in dyslexia (30-63% Kaplan 2000; Montgomery 2007), ADHD
(50% Kaplan, 2000) and Asperger Syndrome (90% Henderson and Green, 2001).
2.2 Ratio of boys to girls with dyslexia
The ratio of boys to girls in mainstream with dyslexia (N=537) was 1.2 to 1, respectively
(Montgomery, 2008). In the remedial centres it was 4 to 1 and even 5 to 1 (Montgomery
1997a) boys to girls. This data was consistent with the findings of Rutter and Caspi et al.
(2004) of a ratio across Europe of 1.4 to 1 in many thousands of cases. Montgomery (1997a)
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found that girls were referred a year later than boys and their problems were more
intractable. It was more common that boys’ records revealed a history of behaviour
problems as a response to their difficulties and thus it was likely that help for them would
be requested sooner.
Dyslexic girls’ needs appear to be overlooked in many situations and this was also borne out
by 18 female teachers on a Master’s programme in SpLD who had had dyslexic difficulties
(personal communication, 2006). They reported that they had not received any specialist
help and had been left to manage their problems and been regarded as slower learners. This
helped them understand their pupils’ needs and brought them to the programme. They had
residual problems with spelling and composition that we could use the programme itself to
remediate. This meant that as they taught strategic approaches to spelling to their pupils
they could learn to apply them to their own misspellings rather than use the rote methods
they had adopted from their earlier schooling.
2.3 Patterns and definition
Developing definitions of reading, literacy and dyslexia is problematic in that although we
can observe outcomes we cannot see the processes that lead to them. These processes have
to be inferred from performance on tasks. When it was thought that dyslexics were ‘Word
Blind’ it was inferred that they must have visual perceptual and visual memory problems
for words so visual training was important in remedial reading programmes. The teaching
method that fitted with this was ‘Look and Say’ for whole words. Only after a sight
vocabulary of 50 words was known was it thought appropriate to teach some sounds or
phonics to support word attack skills. But it was this regime that appeared to cause 4 per
cent of children to become dyslexic in England (Rutter and Tizard et al. 1970) and only 1.5
per cent in Scotland (Clark, 1970) where the ‘Phonics First’ method had been retained. In her
extensive research on the effects of Phonics First versus Look and Say teaching methods,
Chall (1967, 1985) found similar results. What seems surprising is that these studies had so
little impact for so long in the UK until phonics was promoted in Government reports
(National Literacy Strategy; DfEE, 1998; Rose Report, 2006).
Reading sub skills are not clearly defined either. The processes in the acquisition of reading
and spelling skills may not be the same as reading and spelling development when basic
skills have been acquired and need to be practised and extended. Most children appear to be
able to learn by any method that is well-structured and sequential, dyslexics do not. Most
dyslexics these days do eventually learn to read and write but the delay can cause skills
deficits of 2 to 5 years (Montgomery 2007) and it could be the effects of this that is what we
observe and cause what some call disordered or ‘bizarre’. Although much research has
concentrated on early screening, if the definitions it operates on are imprecise, the results
will be equivocal and fail to predict to later problems accurately.
It is necessary to consider the effect on teaching methods for acquisition. Already
differential effects of Phonics versus Look and Say have been identified (Chall, 1967, 1985;
Rose 2006). This might also have a bearing on theories of literacy development some of
which suggest that logographic items appear first unrelated to sound properties in
children’s writing (Frith,, 1980). Could this be extended as a function of a teaching method
that starts with Look and Say and is this true of Phonics First systems? Can children’s
scribbles tell us more than a little about dyslexia, theory and practice?
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Definitions, as Snow (1973) showed, can define the research, the practice and the way we
think about problems and can limit our propensity for appropriate action. For example the
most widely held definition that emerged in the dyslexia field was based upon the extensive
surveys of Clements (1966,). He formed the view that dyslexia was a difficulty in learning to
read despite conventional instruction, adequate intelligence and sociocultural opportunity.
He concluded that it was a disorder that was frequently constitutional in origin.
As can be seen, there are a number of problems with this definition. It is a definition by
exclusion where once we have excluded low intelligence, poor teaching, disadvantaging
backgrounds and so on then the problem we have left must be dyslexia. But ‘dys-lexis’
simply means a difficulty with words, particularly in their written form, a circular
definition. The fact that the difficulty is defined as a problem in ‘learning to read’ and
‘words in their written form’ focuses us upon reading; not literacy skills as a whole, and in
particular ignores spelling. This focus has given reading difficulties a primacy over spelling
that may not have been justified. It perhaps reflects the era when the definition was formed
and the emphasis on reading in education that was opposed to methods that were regarded
as ‘the spelling grind’. It certainly reflects the situation in the UK both then and now and it
has created problems both for teaching and for research and practice. It has directed
remedial provision for five decades. In the document Excellence for All Children (DfEE, 1997,
p. 15) it firmly states:”As teachers become increasingly adept at tackling reading difficulties
children with specific learning difficulties (such as dyslexia) should in all but exceptional
circumstances be catered for in mainstream schools”. Teachers in the UK are thus
indoctrinated with this belief and target their practices accordingly.
In addition, Clements’ use of the word ‘disorder’ carries with it another whole set of
assumptions and attitudes that may not be justified. It suggests that the system from which
dyslexia emanates is disordered and dysfunctional, (Regrettably some medics have
prescribed drug treatments). In the end it can suggest that dyslexia is not remediable but
might be patched up or be compensated for, developmental delay is not considered.
More recently, the British Psychological Society established an expert group from amongst its
members researching dyslexia to advise the Society. In 1989 it offered the following definition
of dyslexia: "A specific difficulty in learning, constitutional in origin, in one or more of reading,
spelling and written language which may be accompanied by a difficulty in number work. It is
particularly related to mastering and using written language (alphabetic, numerical and
musical notation) although often affecting oral language to some degree”.
This definition covered the main areas of dyslexic difficulties that research had identified
since Clements and tried to give focus to the key issues. Implicitly it tells us now that
dyslexia may be found across the ability range and that written language or coded symbols
applies to text, number and musical scores.
My main concern with this definition is that it suggests that a dyslexic might be thought to
have only one of the areas of difficulty i.e. reading or spelling or number and this does not
fit with the case histories of dyslexics already described. They do have reading AND
spelling difficulties, but rarely if ever, reading without spelling difficulties, although a
significant number seem to have spelling with no reading difficulties. For example, one
cohort of dyslexics (N=288; Montgomery, 2007) in the case studies referred to a Dyslexia
Centre all had significant reading and spelling problems (2.8 years below chronological age).
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On the waiting group of 90 pupils one third of the group appeared to have spelling
problems alone.
A general guideline was in operation based on government approved SEN training that
reading itself must be 20 per cent lower than the pupil’s chronological age to secure specialist
remedial support. This ignored the issue that if the child was well above average ability
‘mental age’ we could expect them to have reading that is advanced towards this level. This
meant that bright children with dyslexia might be put on a waiting list for remedial help but
were less likely to receive support. Moreover, those whose reading was adequate but had
severe spelling problems would not be referred but remain on the waiting list.
The British Dyslexia Association’s (BDA, 2004) definition was somewhat influenced by that
of the BPS but went on to extend it, to cover what teachers might observe in their dyslexics
and touches on the old theories of origin: “Dyslexia is best described as a combination of
abilities and difficulties, which affect the learning process in one or more of reading, spelling
and writing. Accompanying weaknesses may be identified in areas of speed of processing,
short term memory, sequencing, auditory and or visual perception, spoken language and
motor skills. It is particularly related to mastering and using written language, which may
include alphabetic, numeric and musical notation. Some children have outstanding creative
skills, others have strong oral skills. Dyslexia occurs despite normal teaching, and is
independent of socio-economic background or intelligence. It is, however, more easily
detected in those with average or above average intelligence”.
2.4 British Dyslexia Association definition, 2011
“Dyslexia is a specific learning difficulty which mainly affects the development of
literacy and language related skills. It is likely to be present at birth and to be lifelong in
its effects. It is characterised by difficulties with phonological processing, rapid naming,
working memory, processing speed, and the automatic development of skills that may
not match up to an individual’s other cognitive abilities. It tends to be resistant to
conventional teaching methods, but its effects can be mitigated by appropriately
specific intervention, including the application of information technology and
supportive counseling”.
In this definition we can see a ‘work in progress’ and a move to include the current main
definitions on the nature and possible origins of the difficulty e.g. phonological processing,
rapid naming, working memory, etc. It does however now include matching against other
higher cognitive abilities not just chronological age – ‘may not match up to an individual’s
other cognitive abilities’, this will help some gifted dyslexics. There is a vast body of
research on phonological difficulties in dyslexia and a strong belief in it as a theory of origin
and it is now the prevailing paradigm (Frederickson and Frith et al, 1998; Snowling 2000,
Vellutino, 1979). The argument goes that if the underlying phonological difficulties are
addressed then the dyslexia will be remediated. But is this so?
3. An examination of some contrary views of dyslexia theory and research
3.1 Speed of auditory processing hypothesis
Tallal (1980; 1994) suggested that the dyslexic problem lies in an inability to process sensory
input rapidly, particularly the auditory information contained in speech (Goswami, 2008).
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The deficit is in the millisecond range and could be due to cell size differences in the left
language hemisphere which are smaller in dyslexics (Holmes, 1994, p. 27). But is this size a
cause or a result? The processing difficulty, it is argued would create problems in ‘b’ and d’
perception for example which last only 40 milliseconds. When the sounds were separated by
100 milliseconds dyslexics could discriminate them.
The question we need to ask is why, when pupils are taught sounds of the letters in isolation
and they hear, see and write them in Reception that dyslexics fail to learn them, why is
speed an issue? It appears to become an issue only if we teach by ‘Look and Say’ or the
sentence reading methods alone. Even if methods begin with Look and Say, why is it that
the introduction of symbol-sound correspondence or phonics work later does not overcome
the ‘dyslexic’ problem? Why does dyslexia also occur in languages such as Italian, which
have closer symbol-to-sound correspondence than English? Galaburda (1993) argued that
this deficit does not indicate a cause of dyslexia but is a secondary effect associated with a
deeper cause.
It would appear that the research has not concentrated enough upon the early acquisition
processes in literacy where much time in classrooms is also spent on saying and writing
single sounds using the popular ‘Letterland’ approach (Manson and Wendon, 1997).
Although young children have better ability than adults to discriminate between sounds,
what we do know according to Liberman, Shankweiler et al. (1967) is that the human ear is
incapable of distinguishing the sounds in syllables. Most often the initial sound is
accompanied by a stronger burst of energy and thus is easier than the rest of the syllable to
become aware of (for reading) then to segment (for spelling). The rest of the letters are
shingled on top of each other making them impossible to separate out. Thus teaching ‘c - a t’, ‘cat’ is set for failure. But teaching of onset and rime makes sense ‘c - at’. Especially when
we have a picture clue to help us. The ‘I Spy something beginning with’ - game is thus a
very important part of early learning in school. Dyslexics were asked which segmentation
format was easiest for them to remember and said that ‘c / at’ was much easier for them than
‘ca / t’ or ‘c–a–t’ (Montgomery 1997a). The point this illustrates is that if early reading skills
are supported by spelling skills that include segmentation, especially onset and rime methods
(Bryant and Bradley 1985) then speed of processing is irrelevant in the acquisition period.
3.2 Working memory hypothesis
Working memory as already noted, appears to increase as literacy skills improve (Koppitz,
1977). Recent research by Gathercole (2008) has shown that training working memory
improves concentration and attention in ADHD. However, it did not enhance the literacy
skills of a group of dyslexics (McGhee, 2010). Vellutino (1987) showed that the verbal
encoding required in many memory tasks produced deficits in dyslexic performance even on
visual items because of attempts to sub-vocalise or name the items. This was confirmed by
Montgomery, (1997a) when dyslexics were asked to tell how they remembered a set of visual
symbols such as the Coding tasks on WISC and Digit Span. Giving some sort of label assisted
their recall thus it is not just a visual or visuo motor recall task but a verbal-visuo-motor task.
3.3 Double deficit hypothesis
This theory (Wolf and Bowers, 1999) holds that there is a deficit in phonological processing
in addition to slowness in naming and decoding fluency (Wren, 2005). The evidence used is
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that dyslexics even when they have learned to read and write remain slow in their reading
and decoding of text. However, Rumelhart & McClelland (1995) using computer
simulations, concluded that the slowness in recovered dyslexics was due to their lack of
experience of print compared with normal subjects. Teacher research (Taylor, 2007)
confirmed this with dyslexic cases and normal poor readers.
3.4 The phonological processing hypothesis
This is the dominant current theory in dyslexia, which postulates that in the majority of
cases, dyslexia is thought to be due to an underlying verbal processing difficulty
particularly in the phonological area (Brown and Ellis, 1994; Bryant and Bradley, 1985;
Chomsky, 1971; Frederickson, and Frith et al 1997; Frith, 1980; Golinkoff, 1978; Liberman,
1973; Snowling, 2000; Vellutino, 1979).
According to this theory, phonological processing deficit can give rise to:
inability to appreciate rhyme
lack of phonemic awareness
poor development of alphabetic knowledge
lack of development of symbol to sound correspondence
lack of development of phoneme segmentation skills
lack of spelling development at the higher levels
lack of metacognitive awareness of spelling
These phonological skills and abilities are thought to underlie the development of good
spelling and reading and appear to develop incidentally in most pupils during reading and
writing but not dyslexics.
Phonemic awareness and appreciation of rhyme appear to be more closely associated with
reading skills and there is a strong correlation between poor phoneme awareness and later
reading difficulties (Bryant and Bradley, 1985; Frederickson and Frith et al 1997). Although
‘strong’ is a correlation of <0.71,this is only 50 % predictive of the capacity to later literacy
skill (Pole and Lampard 2002).
Alphabetic knowledge, symbol-to-sound correspondence and phoneme segmentation are
more associated with spelling. Poor skills in these areas have the highest correlation or
predictive power with later dyslexia (Golinkoff, 1978, Liberman, 1973, Treiman, 1993. The
stronger predictive capacity of segmentation skills appears to be because even with direct
teaching of phonics the dyslexic may not be able to acquire early alphabetic and
segmentation skills. Thus I argued that these skills, or lack thereof, could be used as a
primary indicator of dyslexia and dysorthographia in Reception classes if we were to
examine children’s writing. In support of this notion it can be seen that if some of the
phonological skills on dyslexia tests are examined, they actually require spelling skills for
success. For example, the Alliteration and Spoonerisms tests used in the Phonological
Assessment Battery (PhAB; Fredrickson, Frith & Reason, 1997) can be viewed as requiring
phoneme segmentation skills. The same is true for phoneme tapping tasks (e.g., Tunmer &
Nesdale, 1982), whereby, dyslexics have shown poor performance, while showing normal
performance on syllable tapping (Montgomery 1997a). We know that pupils will be able to
decipher syllable beats by ear if they can hear and understand speech. But phoneme tapping
The Contribution of Handwriting and Spelling Remediation to Overcoming Dyslexia
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is different since it requires segmentation of the syllable itself, which Liberman et al (1967)
showed they cannot do. For example, Montgomery (1997a) has showed that when asked to
tap ‘seven’, ‘write’ ‘bad’, dyslexics tapped 3 or 4 times, (svn or sevn) 3 times (rit), and 3
(bad) times. Matched chronological age controls tapped 5 times, 5 and 4 times and 3 times,
whereas young matched reading age controls performed as poorly as the dyslexics. In a
series of such experiments (Montgomery, 1997a) it became clear that phoneme tapping was
only accurate if the dyslexics and controls could spell the word in the first place. Similarly,
phoneme segmentation involving cutting off the initial sound c -at was facilitated by secure
knowledge of the letter sound ‘c’. In other words these exercises were subskills of spelling
and dependent upon it.
4. Can early writing be used as an indicator of dyslexia?
Figure 1 below shows the spelling samples of three typically developing children aged 5
years 1-2 months who had not been taught to write; Yacob (top), William (middle) and Kelly
(bottom). In contrast, Figure 3 shows scripts of three dyslexic children; Steven age 6.5 years
(top), Caroline aged 7 years (middle) and David aged 8 years (bottom). The 5 year olds have
picked up a considerable amount of phonic and orthographic information, whereas the
dyslexics show some whole word knowledge for common words they will have copied
many times but lack the symbol sound knowledge they need. When we look at scripts from
dyslexics it is puzzling to think why they seem unable to learn a few basic phonic or
phonemic skills in the infant school that would support their reading and writing. The
alphabet system is elegant, efficient and simple, why can they not learn it? We need to ask
what accounts for the deficits seen in the phonological processing area when stripped down
to the bare essentials – a failure to learn to make symbol-to-sound connections or learn
alphabetic knowledge in often very bright individuals.
Fig. 1. The spelling of 3 non dyslexic beginning writers 5yr 1-2m Yacob and William above
and Kelly below (all figures reduced by 50%)
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119
Fig. 2. The Writing of three dyslexics
It would seem that lack of alphabetic knowledge in early writing can be used as an early
warning that dyslexia may well develop. Above, David is just beginning to crack the code.
5. An intersensory integration theory?
The core deficit in dyslexia appears to be the early failure to learn to associate sound with
symbol. It requires the visual processing area of the brain (Occipital cortex) to make links
between the grapheme (visual symbol) with the auditory processing area (Temporal cortex)
and the sound of that grapheme (the phoneme). These linkages are found to take place in
the angular gyrus (Parietal cortex; Geschwind, 1979) of the language hemisphere (left in
most people). This is the intersensory integration area for sounds and symbols. But what
could cause this, a dissociation problem?
The easy association between the arbitrary symbols of the alphabet and their sounds that
most beginners pick up incidentally during reading is lost in dyslexics. Even in classrooms
where sounds are being said slowly and the connections between them and the graphemes
are made explicit, dyslexics can fail to learn them (Hurry, Silva & Riley, 1996). Even when
phonics is introduced or provided in a general school based remedial programme, teachers
report that they can fail to remember the connections from one day to the next (personal
communication from clinical cases, 1997a, 2007)). They do not learn to segment the sound c
/ from ‘cat’ for example as other children do (Montgomery, 1997a). Ehri (1979) has
suggested that this is because the sound is an abstract perceptual unit that has to be linked
to the arbitrary graphemic unit. Could this abstract nature be the core of the problem in
learning sounds and alphabetic information from which all the rest stems?
Studies of the alphabet itself lead to some significant facts. The alphabet was apparently
only invented once (Gelb 1963) and was invented in the context of a Semitic language by the
Phoenicians. Their Semitic language was consonantal, without vowels and consisted of 22
sounds (much like modern Hebrew). Here perhaps is the clue. If the originator had used the
key cues of the articulatory pattern of each of the 22 consonants by which to assign a
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symbol, an alphabetic system had been invented. Anyone could learn it except perhaps
dyslexics? The articulatory pattern would indeed be the only concrete clue between the
arbitrary and abstract sound and the arbitrary and abstract visual symbol. The three of them
would make a kinaesthetic multisensory triangle, to which we add the writing component, a
four-way relationship. A more complex intersensory integration system than is overt in the
term symbol-sound correspondence.
If the dyslexic does not have the awareness of the articulatory ‘feel’ of a particular phoneme
it will make the sound - symbol association particularly problematic to acquire. As sounds
with the same symbols appear in different forms (allophones) in syllables, this can quickly
become confusing. Graphemes represent phonemes, not allophones, and so do not
distinguish between different pronunciations. It is the articulatory pattern that is concrete
and remains roughly the same and which can be used to connect the sound and the symbol.
By using articulatory cues a pupil should be able to decode the consonantal structure of a
syllable or a word even though vowels might be missed. This could account for the scaffold
or skeletal phonics seen such as in mstr, ws, bd and so on when beginning spellers and
dyslexics have begun to break the alphabetic code.
In a series of pilot studies and controlled experiments this articulation awareness hypothesis
was developed and tested (Montgomery, 1997a). Table 1 below shows the results of the final
controlled study (Montgomery, 2007) in which it was found that dyslexics in comparison with
spelling age matched controls had significantly poorer articulation awareness skills even
though they were two and a half years older. The higher scores on phoneme segmentation of
controls and experimental group dyslexics matched their higher literacy scores compared to
those in the waiting group who had made little progress in reading or spelling.
In order to assist articulation awareness and the acquisition of early phoneme segmentation
to improve basic spelling skills a number of strategies termed ‘multisensory mouth training’
(Montgomery, 1984) for spelling were developed and used in association with the remedial
programme. This involves asking the pupil to articulate a letter sound such as ‘l’ and then
describing where in the mouth the key articulators are touching. E.g., ”where is the tip of
your tongue now? Are your lips open or closed? Feel your voice box, what is it doing?” and
so on. Edith Norrie (1917) must have done this when she developed the Letter Case and
taught herself to read and spell. Although she used a mirror to help her with her
articulatory phonics this was not done in the articulatory awareness research.
Measures
Controls
(N=84)
Dyslexics
(N=114)
Waiting
(N=30)
Chronological
Age
7.94
Reading
Age
8.63
Spelling
Age
8.02
Phoneme
Articulation
IQ
Segmentation Awareness
11.84
7.75
110.03
12.90
7.95
7.62
10.27
4.31
110.43
8.97
6.71
6.0
4.13
5.87
112.67
(Key: 15 or 10=items on tests; PS = phoneme segmentation (15 items) ; AA = articulation awareness (10
items) IQ=Intelligence Quotient,
Table 1. Results of the Main Articulation Awareness Investigations (Montgomery, 2007 p 79)
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It was very surprising to discover that the dyslexics were frequently, confused about where
in the mouth the key articulators were touching. Most of the dyslexic group were already
started on the remedial Teaching Reading Through Spelling (TRTS; Cowdery, Montgomery
et al., 1994) programme, (not those on the waiting list), but without the articulatory aspects
of the phonics. Phoneme segmentation and reading /spelling abilities were strongly
associated.
This leads to the questions: (1) which programmes help dyslexics crack the alphabetic code?
and (2) how? Dyslexia tutors favour the ‘multisensory training’ method and the DfES (2010)
recommends it but although many programmes include it not all are equally successful.
6. Remedial intervention patterns
Tables 2, and 3 below show the outcomes for different types of remedial programme, in
particular the difference between the Orton, Gillingham, Stillman based Alphabetic-PhonicSyllabic-Linguistic (APSL) programmes and others, non APSL that are phonics based.
Reading and spelling ages are used as they tell a clearer story than percentiles and standard
scores. The criterion for remedial success is for a programme to give at least two years
progress in each chronological age year otherwise the dyslexic can never catch up. The
researchers compared dyslexics’ progress in one year on either APSL or non APSL
programmes to find which programmes were effective.
Ridehalgh (1999) examined the results from teachers who had undertaken dyslexia training
courses for a number of factors such as length of remediation, frequency of sessions and size
of tutorial groups in dyslexic subjects taught by three different schemes: (1) Alpha to Omega
(Hornsby and Shear, 1978), (2) Dyslexia Institute Language Programme (DILP/Hickey,
1977), and (3) Spelling Made Easy (SME, Brand, 1993). She found that when all the factors
were held constant the only programme in which the dyslexics gained significantly in skills
above their increasing age was Alpha to Omega.
Measures
A to O
TRTS
H & A to O
TRTS
TRTS
A to O
Sample size Reading Progress
N=107
N=38
N=50
N=12
N=12
N=10
1.93
2.45
1.21
3.31
4.04
2.4
Spelling
Progress
1.95
2.01
0.96
1.85
3.00
2.4
Researcher
Hornsby et al (1990)
Montgomery (1997a)
Ridehalgh (1999)
Webb (2000)
Gabor (2007)
Pawley (2007)
Table 2. Progress Made in One Year on APSL Programmes
However, in a follow up, Ridehalgh (1999) found that the users of the Hickey programme in
her sample had found it more convenient to leave out the spelling pack work and the
dictations! The data also showed that in paired tuition the dyslexics made greater gains
than when working alone with the teacher. This is an important consideration in terms of
the dyslexics’ progress and of economics in schools. All the four tutors in the 1997 TRTS
study (Table 2) worked with matched pairs of pupils.
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Measures
Eclectic mix
Eclectic mix
SME
SME/TRTS
Sample size Reading Progress
107
N=15
N=50
N=12
0.53
1.06
0.69
2.2
Spelling
Progress
0.32
0.16
0.65
1.14
Researcher
Hornsby et al (1990)
Montgomery (1997a)
Ridehalgh (1999)
Webb (2000)
KEY for tables 2 and 3: TRTS – Teaching Reading Through Spelling (Cowdery et al 1994); SME Spelling
Made Easy (Brand 1993);
Hickey /DILP Hickey’s Dyslsexia Institute Language Programme (Hickey 1977); A to O Alpha to
Omega (Hornsby et al 1976)
Table 3. Progress Made in One Year on Non APSL Programmes
Webb (2000) found that she had to cut out the dictations and some of the spellings pack
work because the lessons were too short. As can be seen in Table 2 this has had an effect on
the spelling results. Webb also found that in using SME (Table 3) the pupils were not
making progress unless she introduced the articulatory training from TRTS to link the
sound and symbol. This accounts for the better SME results than for Ridehalgh’s groups.
In Gabor’s (2007) study, at an international school the high progress dyslexics had
supportive backgrounds and were encouraged at home to do the homework.
Pawley’s (2007) study took place with 10 pupils placed in a special school for Emotional and
Behavioural Difficulties (EBD). Before and after the programme the incidence of behavioural
problems were recorded on the Conner’s Comprehensive Rating Scale for EBD (2008) and it
was found that there had been a 30.7% decrease in unwanted behaviours with all pupils’
behaviour improving to a significant degree except one. The behaviour problems decreased
as the literacy skills improved. Halonen and Aurola et al (2006) also established a significant
correlation between reading difficulties and EBD.
These data lend support to the case observations that many pupils develop EBD as a result
of their literacy problems (Edwards, 1994; Kutscher, 2005, Montgomery, 1995;). In addition,
research by the BDA (Singleton, 2006) showed that 52% of young juvenile offenders were
dyslexic and the Dyslexia Institute (2005) reported that the incidence in the prison
population was three to four times that in the general population.
Dyslexia is thus a very serious problem for society as a whole if so many of its sufferers turn
to crime. Being bright and unsuccessful in school can easily lead to alienation and even rage
(Miles, 1999). Thus dyslexics may have to find other ways of being successful and using
their gifts. This may mean turning to crime or becoming an independent entrepreneur. 30
per cent of highly successful entrepreneurs reported they were dyslexic (CBI, 2000).
6.1 What must a remedial programme for dyslexics include?
When a word is pronounced by a careful speaker most of its constituent phonemes can be
heard and ‘felt’. It is this ‘citation’ form that spellers need to use to support their spelling
until a word is learned and can be written automatically by direct reference to the lexicon.
Learning to feel the initial sound can also give strong concrete support to the onset and
rime strategy by helping segment the initial sound for reading as well as spelling. When
The Contribution of Handwriting and Spelling Remediation to Overcoming Dyslexia
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Peter, one of McMahon’s (1988) dyslexic pupils aged 10, was given four twenty minute
‘multisensory mouth training’ support sessions he made two years reading and spelling
progress in a fortnight. It is unusual to make such an enormous gain in fortnight, none of the
other 19 subjects did, but the training provided Peter the clue he needed to gain
metacognitive insight into the whole process of spelling.
It will first be the consonants and consonant blends that are identified by ‘feel’. The vowels
do not cause the articulators to make contacts; they are open mouthed non contacting
‘voiced’ sounds. Vowels are varied by the position of the tongue and the shape of the lips
and are particularly difficult to notice in medial positions. Beginners may often be seen
mouthing their words for spelling both aloud and subvocally. Earlier researchers such as
Monroe (1932) and Schonell (1942) were most insistent about the articulatory aspect of
learning to spell. It is a form of metalinguistic awareness that dyslexics may fail to acquire in
Reception class but may gradually do so at a later stage. Training in this area could well
enable the Reception class dyslexic to overcome this phonological disability. It may then
make the acquisition of the higher order aspects of the language far easier for them and
some may not become disabled at all.
In cases where dyslexia goes unremediated, particularly in severe dyslexics, we find very little
alphabetic knowledge, while phonemic skills are shown in the spelling (see figure 2 above).
However, by about the age of 8 years many dyslexics do begin to ‘crack the alphabetic code’
by themselves. This is especially so where great efforts are made with multisensory phonics.
By this age however, the child would be three years behind peers in literacy development and
as each year goes by, the gap lengthens because the literacy teaching environment of junior
schools is geared to subject teaching using already acquired literacy skills.. In addition,
dyslexics would by then need to overcome errors, which cannot be unlearned. Instead, means
need to be found for giving the new learning a greater propensity to be elicited.
The reason for delay in development of this refined form of propriosensitivity or integration
of information above the level required not to bite the tongue is not entirely clear. What has
been known for many decades is that visual, auditory and articulatory elements must be
firmly cemented in writing (Stillman, 1940, Schonell 1942). Attention in writing is focused
and helps reinforce the articulatory and kinaesthetic bridge between the visual and auditory
symbols. This makes the four-way intersensory relationship auditory - visual - articulatory
and manual kinaesthetic.
Typical of all successful remedial programmes is the focus on spelling as well as reading
reinforced by writing especially in cursive for reasons discussed later. Blending and word
building for spelling take place as soon as two or more letters are learned and this is
followed by a steady structured and cumulative introduction to the main features of the
language in its written form. This is knowledge that other children pick up automatically in
the environment of print but dyslexics do not, probably because they are stuck at a preliterate stage for so long and then on the mechanics of the process.
7. Are there levels or subtypes of dyslexia in educational terms?
Although researchers such as Boder (1973) proposed that there were subtypes in dyslexia
based upon the types of errors they made in spelling and reading this is questionable. The
subtypes were named dysphonetic and dyseidetic types with some having a mixture of
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both. These subtypes were used to describe dyslexics showing difficulties with phonics and
others with problems in the images of words or correct orthography. The analysis was based
upon the numbers of Good Phonetic Equivalents.
Boder’s data does not support the notion of subtypes but rather it illustrates different levels
of the dyslexics’ knowledge. At the lower end of the learning scale with little or no phonic
knowledge would be dyslexics like Steven, Caroline and David whose writing is shown in
figure 2 above. This can be called Level One Skills. Yacob, William and Kelly in figure 1
above are in a transitional stage. Those who have phonic knowledge but lack a fully
developed knowledge of orthography appropriate for their age and ability can be
considered as at Level Two such as Scott in figure 3 panel 3 below.
Level 2 dyslexics have cracked the alphabetic code and are developing a knowledge of
orthography but it is incomplete. As they are usually in late junior or secondary school they
have little chance of ever catching up as their curricula are now geared to reading and
writing to learn. However Level 2 dyslexics do need remedial intervention but it needs to be
on a different level from Level 1 dyslexics.
In Figure 3 below the writing of three dyslexic pupils is shown. Chelsea’s writing in the top
panel of Figure 3 below, illustrates a pre-phonetic scribble stage where she has not yet
cracked the alphabetic code, she has not yet been referred for remedial help. Joshua (Fig. 3
middle panel) has some knowledge of phonics and writes ”I like to ride on my bike, I have
fights with my brother”, but his knowledge is very incomplete for a Year 5 pupil and
suggests a serious earlier problem. He has been formally identified as dyslexic and referred
for remedial help. Scott in Year 10 (Fig. 3 bottom panel) has knowledge of phonics and some
orthographic knowledge but it is too incomplete for his age group and what he needs to be
successful in the curriculum. He has had dyslexia support but it was not effective enough.
Fig. 3. Level one and level two of the dyslexic condition
The Contribution of Handwriting and Spelling Remediation to Overcoming Dyslexia
125
Identifying these two levels is essential in the remediation process for so many of the
dyslexics interviewed complained at length of forever repeating multisensory phonics work
with different tutors although they already had a grasp of most of it. Their problems lay in
their difficulties in building words from their phonic knowledge and arriving at the correct
spelling and in correcting old misspellings. Increasing their fluency in writing however,
enhanced their reading skills even when it was not the focus.
It was the tail end of this level 2 problem that was identified in a cohort of student teachers.
It was for them that the strategic approach to spelling was developed. It was originally
called the 12+1 Cognitive Process Strategies for Spelling (12 cognitive strategies plus 1
simultaneous oral spelling (Montgomery, 1997a).
7.1 Developmental stages and progress in spelling. Marsh and Friedman et al. (1980)
Marsh, among others has proposed a series of stages that most children follow in the
development of writing. The basic structure has been adapted here as follows:
Stage 1: pre-communicative / emergent stage, random scribbles and letter-like shapes,
no knowledge they represent sounds
Stage 2: semi-phonetic / alphabetic stage, pupil begins to gain an understanding of the
alphabetic principle (mstr)
Stage 3: phonetic stage, once pupil can spell consonant – vowel – consonant words
progresses to other patterns; can segment speech sounds in simple words, may use
rules incorrectly and over-generalise, reversal of letters in words is common until a
spelling age of about 8 years, knows many common ‘irregularly’ spelled words.
(marstr)
Stage 4: transitional stage: pupils apply what they have learned about one-syllabled
words to multisyllabled words, and have a developing knowledge of common patterns
and rules. (masrtir)
Stage 5: orthographic stage where the spelling approaches correct orthography for most
common words except where new vocabulary is being learnt. (master)
These stages are helpful knowledge when working on the development of spelling in the
general classroom as they can enable the teacher to monitor progress and decide how next
to intervene. However it is more helpful with dyslexics to consider the barriers to their
learning that occur at level one (symbol – sound knowledge) and deal with this and then at
level two correcting their existing misspellings at whatever stage they present and
providing strategies for generalisation to other wider vocabulary (Montgomery 1997a, 2007;
author’s personal observations as a clinician).
7.2 Remedial interventions at level one
Steven, aged 6.5 years (Fig. 4) was found on a visit to a student teacher who was keen to
help him. He had received some phonics help already but it had not penetrated. He had
been taught in a Look and Say reading teaching regime in Reception. The student was
quickly taught the multisensory articulatory method of phonics work (Montgomery, in
Cowdery et al. 1994 pp. 93-100). Unfortunately the joined up writing that should be part of
the system was banned in this school until the children went into the junior section.
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However the results are clear and after 6 x 20 minute sessions withdrawn, Steven, who
originally has some word / syllable structure knowledge and uses the letters in his name
repeatedly but without any phonics sense, has learned to write legibly. He has cracked the
code! He was delighted with his achievement and so were his teacher and the student.
Fig. 4. Steven’s spelling before and after intervention with ‘articulatory phonics’
James’ (aged 8.5 years) progress in figure 5 below was typical after a 50 minute lesson twice
a week with his matched peer at the specialist centre. He made 3.0 years progress in reading
and spelling in 1.3 years.
Fig. 5. James’ progress on TRTS in 1.3 years
7.3 Other early screening attempts
A check of knowledge of lower case alphabet letters with 200 children in ten Reception
classes in urban and suburban settings showed that after three weeks in school the majority
of pupils knew between 5 to 10 names or sounds (Montgomery, 1997a). Those who knew
none fell into several groups, one or two were developmentally immature and seemed
unable to grasp what they needed to do, one or two were unable to concentrate on the task
and had very disturbed backgrounds, the rest tried and made random associations and were
unaware how they were making sounds such as: - l t d a s f in their mouths.
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Forsyth (1988) followed up a cohort of pupils at age 7, who had been given a Local
Education Authority (LEA) screening in three Reception classes. Forsyth found that failure
to develop alphabetic knowledge was the best predictor of later reading and spelling ability
at age 7 (although this was not originally included in the LEA screening inventory).
Screening of this kind could be part of all teachers’ Baseline Assessment procedures as well
as an analysis of writing in Reception. Although Vellutino (1979) discounted the
intersensory integration theory of Birch and Belmont (1964) the evidence upon which he did
so was slight in comparison with his work on the other theories. This was mainly due to a
problem arising from the difficulties in devising test items that would serve the purpose.
Most of them were contaminated by naming or verbal processing.
Geschwind (1979) had first identified the left angular gyrus as the area where auditory,
visual and kinaesthetic information is integrated. He suggested this system may not be
functioning adequately due to a disconnection phenomenon. Geschwind proposed that this
could cause the dyslexics’ deficiency in processing and connecting graphemic symbols to
their sounds. It may cause them to switch processing to the other hemisphere (Witelson
1977) which is not so well set up for verbal processing.
If there are such deficits, whatever their cause, the remedial system would need to retrain
areas around the dysfunction to cause them to take over the original functions. From the
experiences of stroke patients the difficulty involved in developing compensatory
mechanisms, and the tremendous effort that needs to be made as soon as possible are well
known (National Institute for health and Clinical Excellence NICE, 2011). It could be the
reason why the system of multisensory training in writing connecting grapheme to
phoneme is so essential in the first stages. In fact, experienced tutors reported that once the
first few sounds and letters have been learnt the process then speeds up.
Brunswick et al. (1999) showed that young dyslexic adults, when reading aloud and using
non-word recognition tests, had less activation in the left posterior cortex than controls. A
deficit in the left hemisphere of the brain was said to be implicated. However, it can be
argued, that this may be a result and not a cause of their dyslexia. Their phonological
processing was not secure. In fact, when the dyslexic difficulties are given remediation and
begin to clear up then the brain activation changes towards resembling that of controls
(Kappers, 1990).
7.4 Remedial intervention at level two
Diagnosis of dyslexia is so often delayed for years that the pupil has developed some
reading and spelling skills but they are far from automatic and errors are carried forward
from earlier learning that intrude when the mind is on content rather than the basic skills of
transcription. It is these pupils we can regard as having skills at Level Two. Their
knowledge of sounds and symbols needs to be checked and omissions corrected but the
whole multisensory training regime does not need to be set up. Instead they need
interventions at the orthographic rather than the alphabetic level to supply them with the
knowledge they need for word building and spelling correction and development.
7.4.1 Correcting misspellings (Montgomery, 1997a, 2007, 2011d)
The problems that have to be overcome in correcting misspellings are several. Among these,
three are described:
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1.
2.
3.
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The misspelling may be a creative attempt to spell an unknown word. In this case a
strategy can be introduced to correct it and it may easily be learned if it is quickly
understood and put to use.
The misspelling may have been acquired several years previously and reappears in
various forms inconsistently when under pressure.
The misspelling may have been acquired several years ago and has defied all previous
attempts.
In the first case the important feature is to lay down a new correct version in the memory. In
the second and third cases the misspelling and its variants have already been learned and as
they are old habits have a long track record and need special measures to correct them and
keep them corrected. Most teachers will use Look - Cover - Write - Check to try to correct a
misspelling. However, it may help lay down a new memory but it will not correct or
remediate a learned misspelling. To do this two strategies are needed, these are: (1) Cursive
writing and (2) Cognitive Process Strategies (CPS).
7.4.2 Why CPS and cursive writing are BOTH needed
It would appear that the incorrect spelling has already been stored in two places:
a.
b.
In the motor control cortex for learned movements (Kimura cited in Springer et al
2003 pp 304-5)
In the word memory store or orthographic lexicon (Barry, 1994)
Automaticity has already been established and it is this with which we have to deal. The
incorrect spelling has also a memory entry in the word memory store or lexicon. We do not
actually appear to lay down word memories as icons but more as rules and features and
these have to be linked to the meanings of the words we learn as we learn to talk. When
writing from our imaginations we think of the words we want and automatically summon
the spellings we have stored and these activate the linked motor programmes. Thus we have
to correct the entry in the lexicon as well as the motor programme.
A further problem is that we appear not to be easily able to forget memories in either store
once we have learned them. We need therefore to lay down a new memory trace that has a
higher profile than the old one so that when we summon it from the meaning linked
spelling bank the correct new one emerges rather than the old incorrect one, hoping that
from lack of use the old one will decay over time.
The Cognitive Process Strategies for Spelling (CPSS; described below in detail) is a strategic
approach that serves the purpose of opening up the misspelling in the lexicon to intellectual
scrutiny so that when we want to spell the word correctly we have given it a higher profile.
As we write we can then feel it coming and can pause long enough to select the correct
spelling by using the cognitive strategy. At the same time we use the cursive SOS strategy to
write over the area of error.
The Simultaneous Oral Spelling (SOS; described below in detail) strategy used with the
CPSS in the correction stage helps establish a new motor programme and pathways so that
the correct word elicits the new motor programme instead of the old one. The more the new
form of the word is elicited and used in writing the stronger the links become so that after a
while the pause and use of the CPSS is no longer needed as the correct version comes out
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each time. When used with teacher education students their error rates on the third year and
the final 4th year exams dropped significantly (Montgomery, 1997a). Their error types also
changed from ‘bizarre’ to common error types and ‘slips of the pen’.
7.4.3 The strategic approach to spelling – 12 Cognitive Process Strategies for Spelling
(CPSS)
Articulation - The misspelt word is clearly and precisely articulated for spelling.
Teachers need to encourage clear, correct speech, during classwork and in reading
aloud explaining why. Mispronunciations should be corrected such as ‘chimney’ not
‘chimley’; and ‘skellington’ to ‘skeleton’. The point where stress comes in a word can
also be noted for this will help in correcting the spellings such as harass and embarrass.
2. Over articulation - The word is enunciated with emphasis on each of the syllables but
particularly the one normally not sounded or in which there is the schwa sound e.g.
parli (a) ment, gover (n) ment, w(h)ere, ban-an-a.
3. Cue articulation - The word is pronounced incorrectly, e.g. Wed -nes - day, Feb - ru ary. This points up the area of difficulty to cue the correct spelling.
4. Syllabification - It is easier to spell a word when we break it down into syllables,
misdeanor - mis / de / mean / our, criticed crit / i / cise / d. Poor spellers and young
spellers need to be taught to do this and learn to clap the beats in names and words to
help them. Although the syllable division will vary, as they learn more about the
structure of language they will learn to build this in to the syllabification.
5. Phonics - The pupil needs to learn to try to get a comprehensible skeleton of the word’s
sound translated into graphemic units. At first the skeletons or scaffolds will be
incomplete e.g. bd for bed, and wet for went in regular words. If the words are irregular
such as cum / come at least the phonic scaffold is readable and other strategies can be
taught to build the correct word.
6. Origin - Often the word’s root in another language may give clues -op / port / unity.
the medial vowel in this word is a schwa sound and is often spelt incorrectly with ‘e’ or
‘u’. Finding that the original meaning comes from an opening, a port or a haven means
the pupil has a strong clue to the spelling.
7. Rule - A few well chosen rules can help unravel a range of spelling problems e.g. the l f- s rule, that is l, f, and s are doubled in a one syllabled word after a short vowel sound
- ball, puff, dress; and i before e except after c, or the two vowel rule - when two vowels
go walking the first one does the talking (usually). Exceptions to these rules are saved
and learned as a group e.g. pal, nil, if, gas, yes, bus, us, plus, thus.
8. Linguistics - The syllable types open, closed, accented and unaccented are taught as
well as the 4 suffixing rules which govern most words, as well as the difference between
and uses of base words and roots.
9. Family/base word - This notion is often helpful in revealing silent letters and the correct
representation for the schwa sound e.g. Canada, Canadian; bomb, bombing,
bombardier, bombardment; favour - ite, sign, signature signal. These are real families of
words not common letter strings. A base word is ‘form’ to which we add prefixes and
suffixes (reform, reforming) or make compound words back-ward.
10. Meaning - Separate is commonly misspelled as sep / e / rate. Looking up the meaning
in a dictionary can clear this up because it will be found to mean to divide or part or
even to pare. The pupil then just needs to remember ‘cut or part’ and ‘pare’ to separate.
1.
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11. Analogy - this is the comparison of the word or a key part of it with a word the pupil
does know how to spell., e.g. ‘it is like boot - hoot, root’ or ‘hazard’ is one ‘z’ like in
‘haze’ and ’maze’ . This is the closest to the letter string approach that we want to come.
12. Funnies - Sometimes it is not possible to find another strategy and so a ‘funny’ can help
out e.g. ‘cesspit’ helped me to remember how to spell ‘necessary’
7.4.4 A seven-step protocol for using CPSS
Younger pupils and those with poorer spelling will need more of the first five CPS strategies
and little or no dictionary work to begin with.
1.
2.
3.
4.
5.
6.
7.
The pupil selects two misspellings to learn in any one session.
The pupil identifies the area of error, usually only one letter with the help of the teacher
or a dictionary.
The pupil puts a ring round the area of error and notices how much of the rest is correct.
The pupil is taught (later selects) a CPSS to correct the misspelling, a reserve strategy is
also noted
The strategy is talked over with the teacher and is used to write the corrected spelling.
The spelling is checked to see if it correct - the dictionary can be used again here.
If correct the pupil covers up the spellings and writes the word three times from
memory in joined up / full cursive writing using SOS especially over the area of error
if full cursive presents a problem.
Examples: Acco(m)modate: Ac (prefix) - com/mod (Linguistic rule - double m after the
short vowel in the closed syllable) - ate (common syllable ending) Potato(e) - tomato, ‘toes
are plural, o is one’ ; long vowel /o/ Most modern words manage without ‘es’ e.g. pianos,
radios, cellos, avocados
7.4.5 Simultaneous Oral Spelling (SOS)
Look up the correct spelling in a dictionary with help if needed
Write down the word from the dictionary naming the letters
Teacher and pupil check that the spelling is correct
Cover the spelling and then the pupil writes it from memory saying the name of each
letter as it is written
Check the spelling against the original to see if it is correct
Repeat this procedure three times
The criterion for success is that the word should be spelled correctly THREE times in a
row
Check the spelling again the next day to see if it can still be written correctly
If an error is made build the word with wooden lower case letters then repeat SOS
This procedure was first described for remedial spelling and writing for dyslexics by Bessie
Stillman (in Orton, Gillingham and Stillman,1940).
7.4.6 Casework examples with CPSS
First the lexicon entry is corrected by using CPSS and then SOS to help correct or modify the
motor programme. We must do both, one or other will not work because of the interconnectedness of thinking, writing and spelling.
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13 year old Alex’s work before and after 5 mini sessions of CPSS
Before:
He eat him, now I’m no exspert but anemals do behve lick that, and he did the same to
the others but the had a difrent larws and the PLeos cort him eath is the most stangest
plac I onow Yors fafhlyhoblar
The words in bold were those chosen by Alex to tackle in the sessions.
After:
Dear Hoblar I fanck you for your letter. I’ve looked into your animal consirns and
animals on earth have a good reputasn like Robin Hood, the Fox and Bugs Buny. I have
Beny watching a lat of fims and cartoons and I disagree with you. For example police
dog’s save live’s and guide dog’s help blind people. I’ll meet you at the space cafe on
Wednesday 4th July
See you soon
Blar
J. a Year 8 pupil (C.A. 13.6 years 9 RA 9.1 and SA 8.7 years) using CPSS - teacher’s
reflections
‘The student and I gained a lot from this experience. The student said she thought that
she’d never learn to spell words that she got wrong and she felt that now at secondary
school they had given up on her. She felt by working together that she had used a lot of
her own ideas when investigating words and she had enjoyed having the responsibility.
She said that when we talked about things together she understood more than if she was
just listening - - - She said she’d always thought that she wasn’t as clever as other
children and had labelled herself as ‘thick’ - - - I had seen a marked improvement in J’s
confidence, enthusiasm and spelling abilities
Casework example 1 using CPSS: Natalie was a student in Year 10, aged 15. She was
somewhat impulsive and had dyslexic type difficulties (spelling age 12.4 years). She had
been in the learning support class for three years. ‘..Her report said ‘there are numerous
difficulties in school as Natalie does not like to listen to criticism and does not accept help to
improve her work’. Her writing was sometimes difficult to read especially when writing
words she was unsure of. Her written work did not reflect her level of understanding, she
wrote the minimum required, did not proof read, made many grammatical errors and was
very slow at writing.
In the first CPSS session the teacher and Natalie spoke at length about the strategies and
then Natalie was given a dictation. She selected the words ‘edge’ and ‘comfortable’ to tackle,
put a ring round her area of error, looked them up in the dictionary, and cue articulation
was suggested for ED-ge and then a ‘funny’ which arose when Natalie said she was
reminded of a dog called ‘Edger/ Edgar’, then they used the phrase ‘Edger has the edge’.
Natalie then chose cue articulation and syllabification for the word com -FORT- able as well
as the phrase which amused her ‘The fort is comfortable’. She became very keen on using
CPSS and over the next few weeks kept asking if she could have her spellings checked and if
she could have new ones. She enjoyed identifying the word, looking it up in the dictionary
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and thinking of strategies to overcome it. However what she did not enjoy was the SOS and
cursive writing. She was reluctant to use them despite being told why and felt they were too
much like other spelling programmes she had been given before but which had failed.
A few days after the first session Natalie came in very excited because she had ‘heard alarm
bells ringing’ when writing the word ‘edge’ in Food Technology and as a result of ‘the bell’
she had taken more time over the word and been able to correct her own writing’. Over the
next three weeks they spent 10 minutes every learning support lesson reviewing spelling.
Only in these sessions could Natalie be persuaded to use SOS. After a few more weeks all
the words she had been learning were put into a dictation. Although Natalie complained
she had not had time to review them in fact all were spelled correctly except ‘thought which
was given as ‘though’. She said that now whenever she used the target words the alarm bells
would ring although sometimes it took her a while to remember the strategy. For example she
still wanted to spell the word leisure as ‘leasure’ but now her brain told her not to.
Other important things emerged during the mini lessons and that was Natalie became
willing to share some of the stresses her problems with spelling had caused and opened a
floodgate on homonyms that had troubled her for years. She was surprised that no one had
thought to teach her the four suffixing rules before. As the sessions progressed she gained in
confidence and was enjoying studying spelling and getting very obvious benefit that she
herself could see and experience.
Her dyslexia tutor explained: ‘Many of the students I work with have been following dyslexia
spelling programmes with private tutors for years with little or no improvement in their
ability to spell accurately when under pressure especially in a test or exam. When I first read
about CPSS I was a little dubious as it seemed a time consuming way of teaching students
correct spelling however I was desperate to find something which would work after years of
repeatedly correcting the same errors’.
‘It did not take long for my experimental student to feel confident about what she was
doing..... it has been an extremely positive experience as it really helped raise her self
esteem as well as improving the accuracy of her spelling......I have now introduced the
CPSS to all the classes I teach.’
Casework example 2 using CPSS: Carl was 9 years 11 months with a spelling age of 8 years
4 months and diagnosed by an educational psychologist as ‘moderately dyslexic’. He was
given a 100 word dictation from his Harry Potter reading book. He misspelled 12 words and
identified 5 of them: - monning (morning); itsalf (itself); bewiching (bewitching); foled
(followed); turbern (turban). and :- cristmas, midde, coverd sevulal, soled punshed thay
Lesson One follows: - In the period of a fortnight they dealt with his errors
Christmas: Carl missed the ‘h’ in this word and said he sometimes missed the ‘r’ as well.
Cue articulation: ‘We pronounced the word ‘Christ - mas’. We talked about the fact that
Christmas is all about Jesus i .e. Christ. We looked up 'mass’ in the dictionary and
discovered that it can mean a meal or a body and that at Christmas we have a big meal to
celebrate that Jesus came to earth in human body. Carl had never realised the word ‘Christ’
was in Christmas.
‘Funny’: As soon as I spelt this word correctly Carl said ‘Oh look my brother’s name” Carl
has a brother called ‘Chris’ whose name he can spell quite happily so it really helped him to
The Contribution of Handwriting and Spelling Remediation to Overcoming Dyslexia
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remember that the name ‘Chris’ is in ‘Christmas’. SOS: He found it quite hard to make
himself use the cursive writing at first but said it got a lot easier as he repeated the word. He
also found it easier to remember the spelling if he shut his eyes.
Followed: Carl spelt this as ‘foled’ Syllabification: Carl needed help to see how the base
word ‘follow’ can be broken down into syllables, Then he spotted the word ‘low’ Analogy:
He was able to think of a rhyming word for ‘foll’ i.e. ‘doll’ As soon as I mentioned the past
tense he remembered he needed a ‘ed’ ending. (Author: After analogy with ‘doll’ it might
have been useful to introduce the l-f-s rule and/or doubling after the short vowel sound)
At the outset of lesson two Carl spelt the two words correctly and he and his teacher
proceeded with the next two words. After the six sessions he was given the dictation again
and Carl correctly spelled all the 12 target words. Initially he resorted to the former spelling
of ‘covered’ and ‘punishment’ but in both cases he immediately realised his error and self
corrected. He was quite hesitant over ‘several’ but got it correct after some thought. He
initially put ‘terban’ for ‘turban’ but corrected it immediately. His writing in the post test
was more joined.
7.4.7 When can CPSS be started?
This is a frequently occurring question and teacher researchers have found that as soon as
alphabetic knowledge is established, and this does not mean learning all the sounds in
alphabetical order but in use order, word building knowledge can begin. (See the
Developmental Spelling Programme Montgomery 1997b for over 100 mini lessons and Spelling
Detective Dictionary, (Montgomery, 2011e ) for CPSS strategies. For example if a beginning
speller writes ‘bd’ for ‘bed’ this is the time for basic syllable structure to be introduced - that
syllables are the beats in words – practice clapping the beats in your name etc., - every
syllable in English must contain a vowel. Which vowels do we know so far? etc.
Parrant (1989) introduced all her class of seven and eight year olds to CPSS strategies and
compared their results with a matched class receiving Look Cover-Write-Check and the
usual skills rules such as ‘magic e’. The CPSS class’s spelling errors decreased very
significantly in comparison with the controls who went on making the same errors. The SEN
group’s errors in the CPSS class also decreased significantly but not by such a large amount.
Since this time other teacher researchers have had similar success but have been working
with small groups and individuals. Recently many teacher researchers on the MA
programmes have also used CPSS with small groups and individuals and have been able to
help them gain 2 years advance in spelling and reading often within six months. Interestingly
enough they all report that although not directly addressed reading also improved at least to
the same level. (Androsysgyn, 2002; Butt, 2003; Morley, 2001; O’Brien, 2004)
8. Why cursive writing in remedial work is important
As already indicated earlier, a significant proportion of dyslexics have accompanying
difficulties in handwriting due to fine motor coordination difficulties or DCD\dyspraxia.
Kaplan (2000) found this was 63 % in her sample. In the early half of the 20th century pupils
in English schools learned a fully joined or cursive script from the outset ‘civil service hand’
with no more apparent difficulty than current print learners. It is thus a mid 20th century
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phenomenon that UK pupils learn print script first before converting to a joined script
(Jarman, 1979). Even though ligatures are now built into the teaching system to support
joining (DfEE, 1998). In many other countries cursive is still taught from the outset.
Experiments in teaching cursive from the outset again have taken place in a number of LEAs
and have proved highly successful in achieving writing targets earlier and for a larger
number of children (Low, 1990; Morse, 1991). It is also found to be equally readable.
However custom and practice or ‘teaching wisdom’ is very hard to change and extremely
rigid attitudes are frequently found against cursive (Montgomery, 2003).
The research of Early (1976) advocated the exclusive use of cursive from the beginning. This
was because it was found that the major advantage of cursive lay in the fact that each word
or syllable consists of one continuous line where all the elements flow together. This means
that the child experiences more readily the total form or shape of a given word as he or she
monitors the kinaesthetic feedback from the writing movements. Handwriting therefore
supports spelling and this contributes to literacy development.
The cursive recommended here can be seen in figure 6 below. It is ovoid rather than upright
to promote fluency and seeks to find the most efficient joining strategies. Single lower case
letters and the initial lower case letters of all words begin on the line with a lead in stroke,
there are loops below the line to assist flow in joining but none above, this helps reduce
confusions between lines. A crucial factor of academic success at secondary level is a
student’s writing speed. It determines how easily and comprehensively he/she can take
notes in class and can have a major influence on success in examinations. Ziviani and
Watson-Will (1998) found that cursive script appeared to facilitate writing speed.
The reasons for teaching cursive writing are particularly relevant to students with
handwriting coordination difficulties (developmental dysgraphia) unless their problems are
severe when other strategies may need to be implemented. Specialist dyslexia programmes
of Gillingham and Stillman (1956); Hickey (1977); Cowdery and Montgomery et al., (1994)
all base their remediation on it in a multisensory training system. The reasons are it:
aids left to right movement through words across the page
stops reversals and inversions of letters
induces greater fluency in writing so enables greater speed without loss of legibility
more can be written in the time
speed and fluency can make a difference of a grade at GCSE, A level or in degree
programmes
the motor programmes for spelling words, their bases and affixes are stored together
(Kuczaj, 1979)
space between letters and between words is orderly and automatic
a more efficient fluent and personal style can be developed
pupils with handwriting coordination difficulties experience less pain and difficulty
legibility of writing is improved
reinforces multisensory learning linking spelling, writing and speaking.
In addition, if taught from the outset it eliminates the need to relearn a whole new set of
motor programmes after the infant stage and there is a more efficient use of movement
because of cursive’s flow.
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Fig. 6. Example of the recommended LDRP Cursive
This ‘LDRP’ ovoid form with a consistent forward (or backward) slope to aid running
writing is more user-friendly for most pupils than the upright Palmer cursive used in the
TRTS programme.
In the remedial setting, lines to write on and cursive have been found to be essential and
Wedell (1973) had insisted that children with coordination difficulties must learn to use a
continuous writing movement. Dysgraphics such as these have difficulties, once they find
where to make contact with the paper in making the required shape and to the precise size
and length. As soon as they lift the pen from the paper again in print script to make the next
letter the directional, orientational and locational problems begin all over again. The effort
involved becomes greater, the pen is seized more tightly, the knuckles go white and the
whole body tenses and there is a further loss of fluency. To aid focus and concentration and
stop contralateral movements the edge of the desk may be held and the tongue stuck out. It
can take half an hour of formidable effort to produce a neat sentence.
Pupils with handwriting difficulties from whatever cause, whenever they can, try to avoid
any written task and complain of pain and fatigue (Alston, 1993) and some even become
disruptive when they are required to sit down to write. Teachers well know that, “Now write
it down” can bring forth a chorus of groans. But avoidance and difficulties with writing tasks
can also have a serious effect on spelling and handwriting development through consistent
lack of practice. In addition lack of personalised tuition as children are learning to form their
letters and monitoring on the writing task because of large classes can result in poor
acquisition of writing skills as many pupils teach themselves through copying exercises.
Handwriting difficulties appear to play a much more significant role in underachievement
than has often been realised (Montgomery, 2000, 2003; Silverman, 2004). Whilst estimates of
developmental coordination difficulties vary between 5 to 10 per cent of the school
population, ten per cent or more of pupils have mild handwriting coordination difficulties
(Gubbay 1976, Laszlo, Bairstow et al 1988. Rubin and Henderson (1982) found that 12 % of
pupils were considered by their teachers to have serious handwriting difficulties. Whilst in a
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survey carried out with 3rd year junior school pupils in Cheshire, Alston (1993) found that
according to assessments made by 5 experienced remedial teachers just over 20 % of pupils
were not writing well enough for the needs of the secondary school curriculum.
In a recent analysis of Year 7 scripts it was found that 30 % of pupils had some form of
handwriting difficulties in form or coordination and this led to problems in legibility and
speed. A speed at this age of 20 words per minute in a 20 minute essay was found to be
necessary to access the school curriculum (Montgomery 2007b). The average speed of the
cohorts (N=531) was 13.2 similar to that in a survey by Allcock, 2001 (N=2701). Very few
primary teachers said that they regarded speed as an important feature in children’s
writing they focused more upon legibility and neatness (Stainthorp, et al 2001). However
fluency and speed are important and this can be achieved by the majority of pupils with
light training of their teachers (Christenson & Jones, 2000). Perhaps the 1 % with overt
DCD should be exempt from writing and be given laptops as they find it impossible to
speed up sufficiently although they invest huge effort such as in the case of David in
Figure 8 below.
Fig. 7. Handwriting difficulties – David above and Toby below
The checklist in Figure 9 below can be used with a pupil to get him or her to decide on the
errors they make in their writing. Choose TWO features on which to intervene. The features
that will give the most effect and quickly have been found to be making the base of the
letters all the same size by using double lines to write between and trying to make the slope
of all the letters’ ascenders and descenders go in the same direction (Montgomery, 2007,
2011a ).
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8.1 A checklist of key indicants for diagnosing handwriting coordination difficulties
the letters do not stay on the line
the writing drags in from the margin towards the mid line
wobble and shake observable on strokes in letters
variation in ‘colour’ of words, lightness and dark as pressure varies or fatigue sets in
spaces between letters are too wide
spaces between words too are large and sometimes too small
rivers of space run down between the words
difficulties making complex letters so they appear large or as capital forms T, W, S, K, F
Variations in size of other letters so they appear as large or capital forms e.g. n,m,u,h,
a non standard pencil grip (e.g. not a tripod grip, flexible or rigid) can hamper writing
and achievement,
great pressure hampers fluency, makes holes or dents in the paper which can be felt on
the reverse side
contra lateral body and arm movements may be observed
effort and grip causes whitening of the knuckles
tongue may be stuck out
fatigue rapidly sets in
complains of aches and pains after only short periods of writing
An index of 4 or 5 such indicants would warrant further investigation and intervention.
Fig. 8. A checklist to use to identify form difficulties
Some other physical characteristics – suggesting coordination difficulties
Look at the lines on the paper made by the writer, writing his or her own name and address
for example.
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You can feel the writing on the reverse side of the paper, too much pressure and energy
exerted.
Is the writing variable in dark and light pressures or in being too faint and then too
dark.
Is the writing shaky and wobbly? Can suggest tremor and anxiety.
Is the writing scribbly and or spiky? Suggests a motor co-ordination problem.
Practice in the motor movement in writing developing rhythm and flow can improve the
writing patterns indicated above.
8.2 Automatic development of skills
Before the writer can become fluent in higher order compositional skills it is essential that
the lower order skills of spelling and handwriting become automatic (Berninger, 2004). If a
writer has to reflect on how to spell words and make up spellings or has difficulty in
forming letters and words fluently in handwriting then the mental efforts required or
mental resources that are committed to these processes are directed away from composition
and the development of ideas, narrative and argument. The requirement is that the correct
spellings should reel out from the lexicon automatically as we write just as our hands move
over the keys of the piano when we have learnt to play a tune.
This means that comprehension is affected as well as the higher order skills required to
write compositions and essays. If lower order skills are not automatic then the whole
process of writing is slowed down and may become truncated and disrupted. Extensive
researches by Berninger (2004) and her colleagues have shown that the two best early
predictors of higher order compositional skills are speed of writing the letters of the
alphabet and coding or spelling skills.
We know that dyslexics are poor at developing automatic levels of these skills because of
their difficulties and this is not surprising for they currently acquire them late and thus have
many years less practice using them. This problem persists and Connelly et al. (2001)
Connelly et al. (2005) have shown this problem exists for them throughout primary and
secondary schools and into higher education as they become undergraduates. At university
level this can mean that they obtain degrees in the humanities and social sciences that are at
least a class lower than might be predicted from their other skills. It was similar findings
with teacher undergraduates that led to the investigation of handwriting problems
especially of more able subjects and its contribution to underachievement (Montgomery,
2009, 2011e ). It appears to be a silent disability and frequently ignored. Fortunately for
dyslexics the early specialist remediators, Gillingham, Stillman and Orton (1940) were well
aware of the problem and included penmanship, especially in the form of cursive writing in
their programme. It is this programme and method upon which all the most successful
programmes are based. For what makes a dyslexia friendly school or environment see Study
Guide 4 (Montgomery 2011d)
9. Summary and conclusions
The main thrust of this chapter is that whilst the focus in education is the teaching of
reading, the needs of dyslexics are different. Their core difficulty lies in the area of spelling
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first in ‘cracking the alphabetic code’. This could be done in the Reception Year by the class
teacher with some specific training. If this is not done or is not successful then remedial
provision needs to be instituted in Year 1 for ‘Level One’ dyslexics and this should involve
the use of a specialist programme such as TRTS or Hickey that systematically involve
spelling, handwriting and articulatory phonics as well as reading. Older dyslexics and those
with dysorthographia – ‘Level Two’ dyslexics, also need specific spelling help and this can
be provided by the ‘Strategic Approach’ to spelling, CPSS already described. Both types of
remedial intervention must produce 2 years uplift in skills in each year if they are to be
considered successful. Addressing spelling transfers to reading whereas the reverse is not
the case.
In theoretical terms it is suggested that the dyslexia is the result of a dissociation in the
intersensory integration of sounds with symbols that causes early failure to learn sound and
symbol correspondence. If not overcome the delay in this aspect hampers literacy
development and leads to laying down many errors that in themselves become difficult to
overcome. Referral in the UK may come 3 to 6 years too late and then poor literacy skills and
old errors undermine achievement at all levels. In research terms it is suggested that there
should be more focus on spelling and handwriting as part of literacy investigations and that
a programme of early screening and intervention in Reception should be explored. In
educational terms teachers in training need a better understanding that dyslexia is not just a
reading problem and learn of the power and interest that can be generated by encouraging
children to adopt a ‘detective approach’ to spelling to help lose their ‘learned helplessness’.
An associated benefit from overcoming literacy problems that has emerged is the decrease
in problem behaviours in classrooms.
Overall this chapter has sought to present an alternative perspective to the mainline theme
in dyslexia research and intervention to date. It proposes that reading is not the core
difficulty and that concentration on this aspect causes confusion in diagnosis and diminishes
the effectiveness of the remediation. In many instances it causes it to fail. The concept of
dyslexia as an irremediable lifelong problem also needs to be challenged as does the popular
notion of a sex ratio of 4 to 1 with boys more likely to have the problem than girls. A vast
body or research is already available on dyslexia but it is suggested that much of it is
missing the point and a closer fit needs to be made between the dyslexic’s experience and
the methods of meeting his or her needs.
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8
Depression in Dyslexic Children Attending
Specialized Schools: A Case of Switzerland
Tamara Leonova
University of Nancy,
France
1. Introduction
Dyslexia (specific reading disability) is a common, cognitively and behaviorally
heterogeneous developmental condition, characterized primarily by a severe difficulty in
mastering reading despite average intelligence and adequate education (Grigorenko, 2001).
A recent epidemiological study in France found 3.5% of the students in 2nd grade (CE1)
were dyslexic (Billard et al., 2007).
According to an INSERM report (Expertise de l'INSERM, p. 162), even though dyslexia is
the most studied of the learning disabilities, the scientific community knows relatively little
about it, and most of this knowledge comes from studies done about the cognitive, social
and emotional development of English-speaking dyslexics. The depressive symptoms of
French-speaking children and adolescents suffering from reading disabilities have not been
empirically studied.
In general, learning disabilities (LD) increase the risk of depression. According to a literature
review based on research conducted between 1980 and 2003, 16 out of 24 studies (67%)
found that the level of depression of those suffering from LD was significantly higher than
those without LD (Sideridis, 2006). New theoretical models have been developed to explain
depression in students with LD (e.g., Sideridis, 2005, 2007). In a review of publications on
the links between literacy and mental disorders, Maughan and Carroll (2006) concluded
“literacy problems are associated with increased risks of both externalizing and
internalizing disorders in childhood” (p. 350). They also highlighted the inconsistent results
found when trying to associate depression and dyslexia.
Researchers and practitioners have focused on depression1 since it is one of the major risk
factors in youth suicide. Several publications on dyslexia and schooling of dyslexic children
mention that they are susceptible to developing depression (Hulme & Snowling, 1997; Reid
& Fawcett, 2004; Hunter-Carsch & Herrington, 2001; Hunter-Carsch, 2001; Scott, 2004).
Researchers in the UK have been investigating depression and anxiety in children with
learning disabilities for quite some time (Brumback, Dietz-Schmidt, & Weinberg, 1977;
A single definition for depression has not been found. We use the terms depression, depressive mood,
depressive disorder and depressive symptoms interchangeably. In the studies on depression and
dyslexia presented in the introduction and in our study, the objective of the researchers is not to
diagnose depression but rather to evaluate the level of depressive symptoms.
1
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Stevenson & Romney, 1984), whereas in France little research on the problem has been
conducted. We therefore chose to investigate the level of depressive symptoms in French
speaking dyslexic students and to examine the prevalence of children with clinical
symptoms of depression. After presenting the results of research on depression in dyslexic
children and adolescents, we will briefly discuss the limitations of generalizing research
conducted in English, dominant in this field, when extended to a sample of French-speaking
dyslexic students. The second part of the chapter will present a study exploring depressive
symptoms in French-speaking students.
2. Depression in children and adolescents with dyslexia
In the first decade of the 21st century, researchers have become increasingly interested in
depression in children and adolescents with dyslexia (e.g. Carroll, Maughan, Goodman, &
Meltzer, 2005; Maughan, Rowe, Loeber, & Stouthamer-Loeber, 2003; Miller, Hynd, & Miller,
2005; Willcutt & Pennington, 2000), as well as adults with dyslexia (Alexander-Passe, 2006).
Nonetheless, the first studies on the internalized problems and depression in people with
specific reading disabilities were conducted during 1980s and also at the beginning of the
1990s (e.g. Casey, Levy, Brown, & Brooksgunn, 1992; Kline, 1986). Results showed that
children with dyslexia were more anxious and less happy than peers without dyslexia,
despite their coming from families with high socio-economic levels, with parents having
strong educational backgrounds and being well informed about dyslexia (Casey, Levy,
Brown, & Brooksgunn, 1992). This study compared 28 dyslexic children with 39 children in
a control group and was based of evaluations by parents.
A few years later the results of another study helped to improve our understanding of
depression in people with dyslexia. By comparing depression measurements in children,
adolescents and adults with dyslexia in a cross-sectional study, Boetsch, Green and
Pennington (1996) showed that children and adolescents had high levels of depression
compared to the control group. On the other hand, in dyslexic adults the degree of
depressive symptoms was comparable to the control group. It therefore seems that people
with dyslexia feel less depressed and happier as they grow up.
Willcutt and Pennington (2000) in a study comparing behavior problems in twins with and
without dyslexia found that girls had higher levels of depression than boys. Reading
disability and depression were specifically associated only for girls. These results support
those found by Dekker, Ferdinand, van Lang, Bongers, van der Ende and Verhulst (2007) on
the general population and the critical review of literature by Piccinelli and Wilkinson (2000)
that found that girls suffered from higher levels of depression than boys.
Research by Maughan and al. (2003) based on results from a longitudinal study with three
periods of internalized and externalized problems of dyslexic boys between 9 and 15 years
old found that the percentage of boys labeled as being depressed decreased with age: 13.4%
at 7 years old, 7.1% at 10 and 2.5% at 13. They suggested that reading disabilities were
strongly associated with short-term depression, but that there was no increased risk of longterm depression.
In another study in the UK, Carroll, Maughan, Goodman, & Meltzer (2005) evaluated
different internal and external problems in 68 girls and 221 boys from 11 to 15 years old with
Depression in Dyslexic Children Attending Specialized Schools: A Case of Switzerland
149
specific reading disabilities. Reading disabilities were associated with depressive mood in
self-evaluation scores of adolescents. Although there was no association between dyslexia
and depressive mood in girls, there was a strong correlation between depression and
dyslexia in boys, especially younger ones. Carroll et al., thus, concluded that specific reading
disabilities were associated with all the major psychiatric diagnosis except with depression
where no relationship was found. No link between dyslexia and depression was found
(Carroll et al., 2005).
Results from research by Miller, Hynd and Miller (2005) conducted in the USA, based on a
different methodology with three sources of information, were similar to those of Carroll et
al. (2005). These researchers did not test for the impact of gender due to sample size (N = 79
with 20 people with dyslexia and 59 without, from 6 to 16 years old). Instead they used
three sources of information (i.e., parents, children, and teachers), and two types of
diagnosis for dyslexia as well as measuring depression, anxiety and somatic symptoms.
Since no significant difference in level of depressive symptoms was found between dyslexic
children and the control group, when comparing depressive symptoms according to
information source, type of dyslexic diagnosis or measurement, Miller et al. concluded there
was no significant difference between the two groups. For dyslexic children and adolescents
all the depression scores were within the norms and no age effect was found.
In a more recent study conducted by Alexander-Passe (2006), the depression scores of 19
dyslexic adolescents (12 boys and 7 girls from 14 to 16 years old) were compared with scores
of different groups of subjects from other studies using the same measurements (i.e., Beck
Depression Inventory-II; Beck, Steer, & Brown, 1996). These girls seemed to have a moderate
level of depression, whereas boys had a low level. The overall depression scores of dyslexic
adolescents were slightly higher than the norm of students without dyslexia, though not
reaching clinical levels.
What conclusions can be drawn from these studies? First of all, it is difficult to compare
these studies as they use different methodologies, samples and measurement tools.
Secondly, when control groups were used, certain researchers found the differences
significant (e.g. Casey et al., 1992), whereas others considered depression scores of dyslexic
students to be similar to those of the control group (e.g. Boetsch et al., 1996; Miller et al.,
2005; Alexander-Passe, 2006) or that only girls’ scores were different (e.g. Willcutt &
Pennington, 2000). Thirdly, only three studies namely, Alexander-Passe (2006), Miller and
al. (2005) and Willcutt & Pennington (2000) refer to normal depression scores to evaluate
levels of depression in the studied samples. Therefore, though problems of depression seem
to be associated with reading disabilities, particularly with girls, more systematic studies
using same methodologies, similar samples and same measurement protocols are needed to
conclusively evaluate the risks of depression with dyslexia.
Languages’ alphabetical systems differ in their degree of grapheme-phoneme correspondence
transparency. Some languages have systems that are considered to be transparent as they
transcribe surface phonology with relative fidelity. Others have opaque spelling; their graphicphonologic encoding rules are inconsistent (Grigorenko, 2001; Ziegler & Montant, 2005).
Research on reading and writing acquisition in French has found that French is in between
these two groups of languages. French is closer to transparent languages when being read.
On the other hand, phoneme-grapheme relationships in French are much more irregular
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Dyslexia – A Comprehensive and International Approach
(Peereman & Content, 1999; Sprenger-Charolles & Serniclaes, 2003; Ziegler, Jacobs, & Stone,
1996). As a result, when learning spelling, French is closer to opaque or irregular languages
like English (Ziegler & Montant, 2005). Since French spelling is more regular than English,
French dyslexics have less problems with reading skills than English ones do. French
dyslexic reading disabilities should have less impact on other school learning than for
English speakers, and thus one might argue that there should be less symptoms of
depression. English-speaking dyslexics seem be the most linguistically and thus socially
disadvantaged. Applying generalized findings about the psychological well-being of this
group to other groups with linguistic advantages would be unjustified. We can conclude
that in the case of dyslexia, the language spoken by a dyslexic person must be taken into
consideration when evaluating their difficulties.
Language regularity is not the only factor limiting the external validity of findings with
English-speakers. Other factors, part of cultural context, are also pertinent as they affect the
quality and quantity of difficulties that dyslexics confront. Some studies have highlighted
the effect of school choice on dyslexic child self-esteem (Burden, 2005; Humphrey, 2002;
Thomson, 1990) and on general psychological functioning of children with learning
disabilities (Wiener & Tardif, 2004). Even if the findings of these studies are sometimes
contradictory or difficult to interpret due to methodology (e.g., no control group or
inadequate sample selection) they still suggest that school choice influences the
psychological well-being of dyslexic children.
We hypothesize therefore both that language characteristics (opaque verses transparent
spelling) influence the visibility of dyslexia in a person and that educational systems, in
particular specialized ones, affect a student’s psychological well-being. Since educational
systems in different countries, attitudes towards dyslexia and knowledge about this specific
learning disability in different cultures are quite different, generalizing findings from
research on English-speakers or other countries or languages would be unjustifiable.
3. Objectives
Our study has two objectives: 1) examine the level of depressive symptoms in Frenchspeaking dyslexic children in a specialized school in French-speaking Switzerland and
compare them with children without dyslexia, and 2) evaluate the level of depressive
symptoms in the two populations. Little international research has been conducted on this
type of specialized schooling for dyslexic children.
4. Method
4.1 Participants
Sixty-six children participated in the study: 35 dyslexic children in a specialized school and
31 children without dyslexia. All were from Fribourg canton in Switzerland and had French
as their maternal and only language spoken at home. They all had started school at age 5 to
62, had traditional schooling, no serious neurological, sight or hearing problems, took no
regular medication, nor had any oral language problems, anxiety or depressive disorders.
2
In Fribourg canton, school is not obligatory for children when they are 5 years old. Most children start
primary school at age 6.
Depression in Dyslexic Children Attending Specialized Schools: A Case of Switzerland
151
This information was obtained from parents’ responses to a questionnaire designed for this
study. The socio-demographic characteristics of the families are presented in Table 1.
Informed and written consent was obtained from subjects’ parents.
4.1.1 Selection of the dyslexic children
35 (13 female and 22 male) dyslexic children (M = 10 years 7 months, SD = 1.49, from 8 years
2 months to 14 years 10 months) took part in the study. All had been diagnosed as dyslexic
by age 8 - 9 years by the canton school system. All had global IQs greater than 80 (IQ scores
were indicated in their school files). All the children had remedial speech therapy three
times per week during the school year (average weekly duration: one and half hours) and
their reading skills were between 1 year 8 months and 4 years 9 months behind, according to
Test de l'Alouette. Their hyperactivity scores in SDQ (Goodman, 2001) were less than 6
(within the normal range).
Age chosen for the sample is justified since obligatory schooling in Switzerland is from 6 to
15 years old. As a result, one of dyslexia’s known characteristics, being 2 years behind in
reading skills, can be found in 8 year old children.
4.1.2 Selection of children in the control group
The children in the control group were all recruited from French-speaking schools in
Fribourg canton. 31 (16 female and 15 male) children (M = 11 years 2 months, SD = 2.46,
from 8 years 4 months to 15 years 1 month) participated in the study. All children had their
parents’ consent. To collect information about families and their child’s development,
parents also completed a questionnaire identical to the one completed for dyslexic children.
Dyslexic and control groups were matched for age and gender as best possible. The sociodemographic characteristics of the families are presented in Table 1.
Data analysis suggests that more mothers finished secondary school in the control group
than did mothers of dyslexic children. More mothers of dyslexic children have manual
professions. Significantly more mothers of the control group are housewives. Overall,
mothers of children without dyslexia had higher levels of schooling, and as housewives,
they had more opportunity to take care of the children and better help them with their
schoolwork.
We were not allowed to give IQ tests to the control group: according to the school, all
children in the normal school system had normal IQs. The children in the control group took
a reading test (i.e. Test de l'Alouette) to test the reading skills, as well as Children’s
Depression Inventory by Kovacs (2001). The Test de l'Alouette results confirmed that
children in the control group had normal reading skills for their age. Since students’
schedules were already quite busy, the school did not authorize us to diagnose for dyslexia
using ODEDYS (Outil de Dépistage des Dyslexies) tests.
4.2 Procedure
During the first step, we tested to confirm that the children in the dyslexic group were
properly diagnosed as dyslexic. Reading level was assessed using Test de l'Alouette
(Lefevrais, 1967), a standard reading achievement test widely used with French children. A
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Dyslexia – A Comprehensive and International Approach
meaningful passage was presented, and the participant had to read it aloud (within a 3-min
time limit). Time (in sec/syllable) and accuracy (number of errors, adjusted for the amount
of text read) were measured.
We used ODEDYS (2002), which offers a number of tasks designed to evaluate skills that are
frequently limited or deficient in dyslexic children. The scores for each task in ODEDYS are
presented in Table 2.
Dyslexic children
(n = 35)
Control group
(n = 31)
M = 10.7 years
SD = 1.49
M = 11.2 years
SD = 2.46
Age
Sex
Girls
Boys
37a
63
52
48
Mother’s level of
studies
Primary
5.4
3.2
Secondary
43.3b
58.1b
Higher education
No response
45.9
5.4
Manual
24.3c
Non manual
64.9
67.7
Housewife
5.4d
19.4d
No response
5.4
Manual
48.7
41.9
Non manual
45.9
58.1
No response
5.4
-
Mother’s profession
Father’s profession
38.7
12.9c
-
ª%
b p < .001 (χ2 (2, N = 62) = 17.94
c p < .05 (χ2 (2, N = 62) = 3.90
d p < .001 (χ2 (2, N = 62) = 23.09
Table 1. Demographic characteristics of the sample
The second step was to evaluate children’s depression.
All of the evaluations took place individually in a room set aside by the corresponding
school for the researchers. To insure that dyslexic students’ reading difficulties did not
interfere with their understanding the questionnaire, each item of the CDI (Children’s
Depression Inventory, Kovacs, 2001) was read aloud to the dyslexic child, after which the
child indicated the sentence that best described himself/herself. The same procedure was
followed with the control group.
At the end of the session each student was thanked and received a candy.
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Depression in Dyslexic Children Attending Specialized Schools: A Case of Switzerland
M
SD
6.61 (20)a
4.66
ODEDYS tasks
Number of irregular words correctly read
Time taken for task (sec)
Number of regular words correctly read
Time taken for task (sec)
Number of pseudo words correctly read
Time taken for task (sec)
a
51.52
25.85
14.39 (20)
4.42
44.85
24.32
12.06 (20)
4.38
46.76
22.95
Number of correct responses in suppression task
6.67 (10)
2.47
Number of correct responses in fusion task
6.91 (10)
2.55
Short term memory
- right span
- wrong span
5.91 (8)
2.73 (8)
1.91
1.13
Number of irregular words correctly written
2.36 (10)
3.00
Number of regular words correctly written
6.06 (10)
2.81
Number of pseudo words correctly written
5.61 (10)
3.07
Number in parentheses is maximal score for each task.
Table 2. Means and standard deviations of the ODEDYS tests
4.3 Measurements
Children’s Depression Inventory (CDI) (Kovacs, 2001)
CDI is a self-evaluation scale of depression for children and adolescents, 7 to 17 years old,
elaborated by Kovacs in 1981. It has 27 items to specifically evaluate the different aspects of
depression. Each item has three phrases , rated 0 to 2, to describe the increasing intensity of the
depressive symptom. The child chooses the phrase that corresponds best to his state during
the last 15 days (Bouvard et al., 2002). The global depression score is the sum of the scores of
the 27 items. Global scores run from 0 to 54, higher scores representing more severe
depression. CDI scores above 13 correspond to a moderate-severe depression (Greenham,
1999).
We chose this test for three reasons. First, it is often used in research about depression in
children and adolescents. It may be the optimal measurement of depression in children and
adolescents (Vella, Heath, & Miezitis, 1992). Secondly, it is relatively short (27 items
compared with 79 in MDI-C (Multiscore Depression Inventory for Children, Berndt & Kaiser,
1999), which is also validated in French); as a result it is particularly well adapted for
students with learning disabilities whose attention and concentration spans are quite
limited. Finally, it has good psychometric characteristics (see Table 3 for comparison with
alphas of Cronbach) and good retest reproducibility (r = .82) after a period of one month
(Finch, Saylor, Edwards, & McIntosh, 1987). The validity of CDI has been confirmed by
significant correlations with other methods of depression self-evaluation (Asarnow &
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Dyslexia – A Comprehensive and International Approach
Carlson, 1985; Shain, Naylor, & Alessi, 1990) and with ranking of depressive symptoms by
clinical psychologists (Hodges & Craighead, 1990; Shain and al., 1990).
Subcategories
a
Our study
Kovacs
(2001)
French version of Lise
Saint-Laurent
Pleasure
.60
.66
-
Negative mood
.48
.62
-
Feeling of inefficiency
.52
.63
-
Interpersonal problems
.71
.59
-
Negative self-esteem
.64
.68
-
Global CDI
.85
.71-.89
.92 a
after Cuillerier (2004)
Table 3. Cronbach’s alphas of CDI by Kovacs (2001) from different studies
5. Results
5.1 Level of depressive symptoms
To compare the level of depression between dyslexic students and those in the control
group, we performed an analysis of variance (ANOVA), using 2 (Group: dyslexics vs
control) x 2 (Sex: girls vs boys) x 2 (Age: 8-10 vs 11-15 years old) as between-subjects
variables with variable Group introduced as a fixed variable and the variables Sex and Age
as covariates. The results show that there was no significant main effect of the variable
Group (F(1, 62) = 1.23, p > .05). There was no main effect of the variable Sex (F < 1) and the
variable Age (F < 1). The means and standard deviations are presented in Table 4.
5.2 Prevalence of depressive symptoms in dyslexic children and adolescents
Do dyslexic children and the control group have the same risk of depression? To answer this
question, we analyzed the two groups by comparing the dimension of the severity of
depression. One of the advantages of CDI scale is that it has normative references used by
professionals to establish the clinical level of depression. Global CDI scores above 13
correspond to a moderate to severe depression. Table 4 shows means and SD of CDI scores
for dyslexic and non-dyslexic children.
To evaluate the severity of depression in children, we reassigned the global score of
depression a categorical value of 1 for CDI scores between 0 and 13, and 2 for scores over 13.
We thereby distinguished between weak and clinical cases of depression (i.e. moderate and
severe). We then calculated percentages of children with weak and clinical levels of
depression for each group. The results presented in Table 5 clearly show that in the group of
dyslexic children 80% have weak levels of depression and 20% have moderate to severe
levels. Results from the control group revealed that in children without dyslexia 97% had
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Depression in Dyslexic Children Attending Specialized Schools: A Case of Switzerland
weak levels of depression and only 3% had clinical levels. Separate chi-square tests for each
group showed significant differences in the number of students with weak vs clinical levels
of depression (p < .01).
M
SD
Children with dyslexia (n = 35)
8.74
7.24
Children without dyslexia (n = 31)
6.77
3.99
Girls (n = 29)
7.14
5.19
Boys (n = 37)
8.35
6.55
8-10 year-olds (n = 34)
8.44
6.80
11-15 year-olds (n = 32)
7.16
4.98
Table 4. Means and standard deviations of depression scores as a function of group, sex and
age.
Dyslexics
(n = 35)
Global CDI
Control group
(n = 31)
Low level of
depression
High level of
depression
Low level of
depression
High level of
depression
80ac
20ad
97bc
3bd
p < .001
p < .05
d p < .05
a, b
c
Table 5. Percentage of students with low vs high levels of depression as a function of group
6. Discussion
The objective of our study was to compare the levels of depressive symptoms in dyslexic
French-speaking students in specialized schools with students without dyslexia and to
establish the prevalence of depressive symptoms in these dyslexic students. As mentioned
in the introduction, relatively little research has been conducted to investigate depression in
people with dyslexia. Their results are inconsistent. In addition, most of these studies have
been carried out with English speakers. Nonetheless, educational systems and specialized
educational structures differ from one country to the next. Furthermore, different languages
offer intrinsically different levels of difficulty for people with dyslexia. The extremely
irregular grapheme-to-phoneme correspondence (GPC) of English is quite an obstacle for
students learning to read, and particularly so for dyslexic children (Seymour, Aro, &
Erskine, 2003). Even though French is classified as a language with irregular GPC, as noted
earlier, it is more regular for reading than English.
The findings in this study suggest that global scores of depression appear to be the same for
dyslexic children and the control group. These results are consistent with those found by
Miller et al. (2005), who used CDI with children and adolescents from 6 to 16 years old.
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Their results are also similar to those found by Alexander-Passe (2006), who found no
difference between dyslexic adolescents (14-16 years old) and those without dyslexia though
using a different research methodology. The study by Willcutt and Pennington (2000) based
on the comparison of twins with and without dyslexia revealed the same results. This last
study is all the more valuable since Willcutt and Pennington used CDI to measure
depression. Our study found no difference due to gender or age. As such, our results agree
with those of Carroll et al. (2005) and de Miller and al. (2005).
In our study, no difference was found when average global scores of depressive symptoms
were compared between student groups with and without dyslexia. Nonetheless, evaluation
of the prevalence of those having clinical levels of depression showed that dyslexic students
were much more susceptible to develop depression than students without dyslexia. Twenty
percent of the dyslexic children and adolescents in our study had clinical levels of
depression whereas 3% did in the control group. As 10% of the general population is
considered to have clinical levels of depression (Greenham, 1999), this leads us to conclude
that dyslexic students are more at risk of developing depression.
6.1 Limitations and research perspective
The first limitation of this study is its limited generalization. We have investigated
depression level in dyslexic students going to a specialized school in French-speaking
Switzerland. While these children may have severe levels of dyslexia (which justify their
placement in this school), they are in a school environment that is well adapted for their
disabilities. Scholastic expectations, rhythm and individual assistance are appropriate to
meet their specific needs. In this school a medico-pedagogical team of specialized teachers,
psychologists, and speech therapists accompanies each child and offers effective social
support to both the student and parents.
When we consider the favorable context of the dyslexic students in our study, we are
concerned about the psychological well-being, especially depression, of dyslexic students in
integrated in traditional classes. Different systems of school integration for dyslexic students
may offer different levels of support. A recent study of parents of Irish dyslexic children
(Nugent, 2007) found that when schooling began these parents preferred integrating their
children in traditional classes. Nonetheless, Nugent (2007) argued that their children would
benefit from better schooling conditions in specialized schools. In Sweden, mothers of
dyslexic students integrated in traditional classes emphasized that schools did not offer
appropriate support for the needs of their children (Roll-Pettersson & Mattson, 2007).
Another study suggested that dyslexic students integrated in traditional classes in the
Netherlands considered teachers and peers as threatening their self-esteem (Singer, 2007).
Empirical evidence also supports specialized schooling. Butler and Marinov-Glassman
(1994) concluded that with LD students’ self-perception in specialized schools was more
positive than that of students with LD in special classes or low-achieving students without
LD. Burden (2005) found that specialized schools promote the psychological well-being of
dyslexic students.
The conclusions of these studies lead us to be extremely prudent when making
generalizations about dyslexic students from our findings. This limitation opens the
Depression in Dyslexic Children Attending Specialized Schools: A Case of Switzerland
157
perspective of intercultural research on the psychological well-being of dyslexic children as
a function of different systems of school integration of these children in countries such
France, Switzerland, Canada and Belgium. Research in this field until now has been limited
to investigating self-esteem.
6.2 Pedagogical and educational implications
What recommendations and warnings can be drawn from the results of this study?
First, dyslexic children in a specialized school do not show more signs of emotional distress
than students without dyslexia. As a group, regardless of age or sex, they are no more at risk
of becoming depressed than peers without dyslexia.
Secondly, though as a group dyslexic students had a relatively low level of depression, the
percentage of dyslexic students with clinical depression is significantly higher than that of
the control group. This implies that parents and teachers must be attentive to these
children’s psychological well-being and wary of their slightest signs of distress. Adults must
constantly be aware of the considerable individual differences within a group of dyslexic
students. As risk factors and protection have not been studied much in dyslexic students, we
can only conclude that these students are not all the same when facing psychological
problems they may develop during their years of schooling. Though the current results
showing no difference between dyslexic and non-dyslexic children may be reassuring, they
must not be generalized for all dyslexic students, regardless of system of integration in
school, nor even within a group of dyslexic students in the same system.
7. Acknowledgments
We would like to extend our gratitude to the direction of Institut Saint-Joseph in Fribourg
(Switzerland), Mr. Noël and Ms. Savoy, as well as the medico-pedagogical team, whose
open-minded and helpful attitude allowed us to complete this research. We would also like
to sincerely thank the parents and children who participated in this study.
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9
Dyslexia and Self-Esteem: Stories of Resilience
Jonathan Glazzard
University of Huddersfield
United Kingdom
1. Introduction
This study investigates stories of resilience in people with dyslexia. It provides a brief
overview of some of the key literature in this area and draws on earlier research which I
conducted (Glazzard, 2010). Data was collected using narrative genre. Four informants
volunteered to tell their stories. The study considers ways in which dyslexia has shaped the
self-esteem, self-concepts and identities of the informants. The stories provide powerful
insights into the lives of people with dyslexia and the reader is invited to draw their own
interpretations from the narratives. The study concludes that an early diagnosis of dyslexia
is essential for creating a positive self-image and recommends that further narrative research
is necessary to explore the significant impact that dyslexia has on people’s sense of self.
2. Theoretical framework
2.1 Summary of key literature
According to Humphrey:
Despite a barrage of anecdotal evidence from teachers and practitioners, there is a
paucity of published research in self-concept and self-esteem in children with dyslexia.
(Humphrey 2002: 30)
Much of the research into dyslexia has focused on causation and remediation. Consequently
this study examines the effects of dyslexia on people’s lives in general and on their selfconcepts and self-esteem more specifically. Gurney defines ‘self-concept’ as ‘the image or
picture that we have of ourselves which we carry around and use to define ourselves as well
as to categorise our behaviour’ (Gurney, 1988: 4). In contrast, self-esteem is defined as ‘the
relative degree of worthiness, or acceptability, which people perceive their self-concept to
possess’ (Gurney, 1988, p.13)
According to Lawrence:
One of the most exciting discoveries in educational psychology in recent times has been
the finding that people’s levels of achievement are influenced by how they feel about
themselves (and vice-versa)’.
(Lawrence, 1996, p.x1)
Key research findings indicate that learners with dyslexia experience teasing and bullying
and feelings of exclusion (Edwards, 1994; Riddick, 1995; Riddick, 1996; Humphrey, 2001;
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Humphrey, 2002; Humphrey, 2003). Unfair treatment by teachers has also been a consistent
theme in the literature (Edwards, 1990; Osmond, 1996; Humphrey, 2001; Humphrey and
Mullins, 2002; Humphrey, 2003) as well as teacher resistance to the existence of dyslexia
(Riddick, 1996).
Osmond (1996) presented case studies with children and adults with dyslexia. According to
Osmond ‘the worst problem any dyslexic has to face is not reading, writing or even spelling,
but a lack of understanding’ (1996: 21). Osmond’s case study descriptions show evidence of
pupils experiencing feelings of anger and frustration with their own difficulties. The reader
is provided with vivid descriptions of life experiences using the participants’ own words.
There is evidence of pupils’ efforts being destroyed by teachers and persecution from other
pupils (Osmond, 1996, p.21). There is evidence in this research of pupils experiencing
anxiety when placed in situations where their difficulties were exposed. Examples of this
include forcing pupils to read out in class and being made to leave their regular class for
special lessons. Osmond’s interviews with the pupils’ parents provide evidence of schools
and local education authorities adopting dismissive attitudes towards dyslexia. He quotes
one parent who said:
I think they regarded us as middle-class pushy parents, probably making too much fuss
over a problem that would come right of its own accord…
(Osmond, 1996, p.75)
The case studies which Osmond (1996) describes, provide rich detail of pupils’ experiences
of living with dyslexia. This detail is essential in order for the reader to develop
understanding of what it is truly like to have dyslexia or be a parent of someone with
dyslexia.
Edwards (1994) carried out case studies on a sample of eight adolescent boys from a special
school for dyslexics where she worked. During her interviews with the students, it became
evident that the majority of the participants had suffered extremely bad experiences as a
result of having dyslexia. Many of these experiences were related to their education prior to
coming to the special school. Indeed, Edwards was deeply shocked by the severity, extent
and multiplicity of unpleasant experiences, which the pupils in her study had suffered. She
found that five out of the eight boys had been on the receiving end of violence from their
teachers, the cause of which they attributed to them having dyslexia. This is alarming.
Edwards (1994) also found that seven out of the eight students had been humiliated and
‘shown-up’ by their teachers and incidents ranged from work being torn up, ‘put-downs’
and low teacher expectations. Additionally, Edwards (1994) found evidence of teasing and
persecution from other students. This was in the form of verbal abuse and tormenting about
their dyslexia. Seven of the students registered an extreme lack of confidence and all the
students developed behaviour problems at some point.
Edwards’ (1994) research provides an insight into the lives of students with dyslexia. Whilst
both studies are now dated, they make an important contribution to the knowledge base
within this field. Interestingly more recent studies have demonstrated similar findings.
Humphrey’s (2002) study into teacher and pupil ratings of self-esteem of pupils with
developmental dyslexia also makes an important contribution to the knowledge base on the
relationship between dyslexia and self-esteem. Humphrey (2002) gathered data from three
Dyslexia and Self-Esteem: Stories of Resilience
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groups of pupils. In this study, the pupils ranged in ages between the ages of eight years to
fifteen years. One group of pupils with dyslexia were taught in mainstream settings, a
second group attended specialist units for specific learning difficulties and a third group
formed a control group of pupils who did not have learning difficulties. Teachers’ ratings of
their pupils’ levels of self-esteem were assessed using an adaptation of Lawrence’s (1996)
self-esteem checklist. Humphrey (2002) used a Likert scale to assess the behavioural
manifestations of self-esteem. The teachers who were involved in the research were asked to
assess the frequency of each behaviour trait on a four-point scale: ‘Never’, ‘Sometimes’,
‘Most of the time’ and ‘Always’. An example of this is that the teacher was asked ‘Does he/she
make excuses to avoid situations which may be stressful?’ The teacher responded by circling one
of the four words. In addition to the teacher ratings of pupil’s self-esteem, Humphrey (2002)
measured pupils’ ratings of self-esteem using the ‘semantic differential’ method adopted by
Richmond (1984). The pupil participants were required to place themselves on a seven-point
scale between two opposite adjectives to represent their perception themselves. This relates
to Lawrence’s (1987) concept of ‘self-image’. Humphrey (2002, p.31) provides an example to
illustrate this: The pupils were asked for example, to place themselves on a scale of
popularity ranging from popular to unpopular with a score of one representing ‘extremely
popular’ to a score of seven indicating ‘extremely unpopular’. The scale consisted of ten
items. On completion of the initial scale, the pupils were asked to repeat the task but on the
second scale, the pupils were required to indicate where they would like to be on the scale.
This relates to Lawrence’s (1987) concept of ‘ideal self’. Humphrey (2002) then calculated the
discrepancy scores between the pupils’ self-image and ideal image for each item and mean
discrepancy scores were then calculated for each group. The results of Humphrey’s (2002)
teacher ratings indicated that the pupils with dyslexia in mainstream settings and in units
were significantly more likely to ask continually for help and reassurance than the pupils in
the control group were (Humphrey, 2002, p.32). His findings also indicated that both
dyslexic groups were more likely to display timid behaviour and avoid situations of
possible stress compared with the pupils in the control group (Humphrey, 2002, p.32). The
results of the pupil ratings of self-esteem also produced interesting findings. According to
Humphrey (2002), the dyslexic-mainstream group had significantly lower levels of selfesteem than the other two groups in reading ability and writing ability. Humphrey (2002)
also found that there was a significant difference in self-esteem related to spelling,
intelligence and popularity between the dyslexic mainstream group and the control group,
with the mainstream group having significantly lower levels of self-esteem in these three
areas. Interestingly, Humphrey (2002) found no significant differences in pupils’ ratings of
self-esteem between the control group and the group from the specialist units in the areas of
reading, spelling, writing, perceptions of intelligence and popularity. Humphrey argues that
his results ‘support the notion that dyslexia has an effect on the self-esteem of children’
(Humphrey 2002, p.34). He argues that his results show differences in the self-concept and
self-esteem levels between pupils with dyslexia who are placed in mainstream settings and
pupils without learning difficulties. However, he also argues that his research shows that
dyslexic pupils who are placed in separate units ‘develop more positive self-concepts and
levels of self-esteem than those left in mainstream education’ (Humphrey 2002, p.34). This
could be due to teachers in units having specialist training, more knowledge about selfesteem and smaller class sizes which enable them to spend more time talking to their pupils
than their mainstream colleagues. The validity of the findings depends on whether selfesteem remains stable or changes over time and this has been debated in the literature.
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Humphrey and Mullins (2002) collected rich qualitative data relating to pupils’ individual
experiences of dyslexia. They interviewed the pupils about their general self-concept and
self-esteem, peer relations, teacher-pupil relations and academic self. This allowed the
pupils to have a ‘voice’ and gave them the opportunity to provide richer information
relating to their experiences of being dyslexic than quantitative data was able to supply.
They found that around half of the pupils with dyslexia in mainstream settings and special
units were regularly bullied or teased about their dyslexia. This is in line with the findings
of Edwards (1994) and Riddick (1996). They also found that almost half of the dyslexic
pupils in mainstream settings and in special units, prior to their placement, had been
‘persecuted’ (Humphrey and Mullins 2002, p.7) by their teachers. Indeed, they state that
‘…many of the participants had been called lazy, stupid or thick by teachers’ (Humphrey
and Mullins 2002, p.7). This is in line with Dewhirst’s finding (1995) who quotes an extract
from an interview with a teacher:
Teacher: Well…I mean, it’s one of those things that has been conjured up by ‘pushy
parents’ for their thick or lazy children; quite often both.
(Dewhirst, 1995 in Riddick, 1996 p.94)
Humphrey and Mullins (2002) found that around one third of the dyslexic mainstream
group felt they were ‘stupid’, ‘lazy’ or ‘thick’ (p.8). They also found that one quarter of the
dyslexic mainstream group and one third of the dyslexic pupils in special units felt that they
were less intelligent than their peers. In addition, they found that in both groups, the pupils
felt least confident in situations where their dyslexic tendencies were on display, such as
reading out in front of the class. Another interesting finding was that around half of the pupils
in both groups indicated a desire to swap places with someone else. The data provides
evidence that the pupils with dyslexia in the special units have had negative experiences prior
to their placement in the units. According to Humphrey and Mullins (2002) this has left them
with ‘emotional baggage’ (p.10), or what Edwards (1994) refers to as the ‘scars’ of dyslexia.
The research by Humphrey and Mullins (2002) indicates that the experience of dyslexia can
have a negative impact on pupils’ self-concept and self-esteem. In addition, they found that
pupils with dyslexia tended to attribute success to external factors rather than internal
factors (Humphrey and Mullins, 2002), thus illustrating the theory of ‘learned helplessness’
(Peterson, Maier and Seligman, 1993). Research has indicated that learners with dyslexia
attribute success to factors such as teacher quality rather than to their own intelligence
(Humphrey and Mullins, 2002). Success is therefore blamed on external factors rather than
being perceived as something which can be controlled (Humphrey and Mullins, 2002). This
suggests that learners with dyslexia have a very poor internal locus of control. They feel that
they are not in control of their own success in relation to learning, due to their own
perceived inadequacies. Research has pointed to the link between learned helplessness,
attributional style and low self-concept (Butkowsky and Willows, 1980; Humphrey, 2001). In
contrast learners without dyslexia blame failure on internal factors such as lack of effort or
lack of interest in a subject but not lack of ability, thus protecting their self-concept
(Humphrey and Mullins, 2002). This suggests that learners without dyslexia have a very
strong locus of control.
Burden and Burdett (2005) focused on pupils’ attitudes towards learning and their sense of
agency in an independent residential school for pupils with dyslexia. The researchers use
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their data to challenge the findings by Humphrey and Mullins into the relationship between
dyslexia, self-esteem and locus of control. In contrast, Burden and Burdett (2005) found that
the pupils with dyslexia had ‘highly positive attitudes towards learning’ (p.103) and had a
strong sense of being in control of their own destinies. The study found that the participants
felt in control of their own learning and they felt capable of achieving their ambitions. Thus,
the participants had not generally internalised feelings of learned helplessness (Burden and
Burdett, 2005).
It is just feasible that similar results might be forthcoming from a comparison group of
pupils with dyslexia attending mainstream secondary schools, but we very much doubt
it.
(Burden and Burdett, 2005:103)
My own research (Glazzard, 2010) challenges this hypothesis. The mainstream pupils with
dyslexia whom I interviewed were all very confident and they attributed this to the
diagnosis and ownership of the label. For these pupils the label helped them to explain their
difficulties. They realised that they had a specific difficulty and that this was unrelated to
intelligence. Prior to the diagnosis their self-esteem was significantly lower than it appeared
to be after diagnosis, in part due to negative interactions with peers or teachers. Their selfesteem had been damaged as a result of negative interactions with teachers and peers,
although in all cases the parents had worked hard to preserve their self-image (Glazzard,
2010). Research has also indicated that peers are an important source of self-esteem
(Kirchner and Vondraek, 1975). My data suggests that the negative influences from both
teachers and peers negated the positive support provided by parents (Glazzard, 2010). The
diagnosis was a turning point in terms of building up confidence, self-concept and selfesteem and consequently its significance should not be under-estimated. Thus, I concluded
that the need for an early diagnosis is therefore crucial in order to stop children from
developing learned helplessness.
3. Methodology
I have chosen to use narrative as a methodological tool to explore the effects of dyslexia on
self-esteem. In adopting a narrative genre I have used the life history specifically to tell the
stories of four people who were diagnosed with dyslexia. I had personal and professional
connections with the informants and this is a common thread in life history research.
Through my connections with the informants it became evident that dyslexia had had a
profound impact on their lives. The stories they tell illustrate the powerful effects of
dyslexia on self-esteem and personal identity and what emerged throughout all the stories
was the theme of resilience. This theme united all the informants and this formed the basis
for selecting the sample.
The life history method emerged in the early part of the twentieth century and was further
popularized by the emergence of feminism and the growth of sociology as a discipline. I
have chosen to dedicate most of this chapter to telling the stories of my informants and in
doing so, I make no apologies. My intention is to privilege the stories that people have told
me, to let their voices speak and consequently to allow the reader to make their own sense of
the stories they have been told. Clough (2003: 448) believes that narratives should ‘challenge
their readers to create their own meanings from them’. He believes that the narrative should
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‘lead the reader to a place where they might begin to search for the meanings and issues that
lie behind and surround the story’ (Clough, 2003: 448). In keeping my analysis relatively
brief, my intention is to allow the reader to make their own sense of the stories that they
have been told.
Drawing on Goodson and Sikes (2001) I view a life stories as as stories as told. In contrast
my analysis essentially transforms the stories into life histories by exploring the wider
contextual discourses which have shaped the lives of my informants. I believe that life
histories can expose suffering, pain, misfortune, and injustice in order to ‘speak to the heart
of social consciousness’ (Clough, 2002: 8). According to Goodson and Sikes (2001: 42), ‘as
social beings we are constantly storying our lives’. People enjoy telling and listening to
stories and this renders this approach dynamic in that it has the potential to expose pain and
suffering and illuminate the wider political, social and cultural discourses which have
shaped people’s lives. For my informants this approach can be empowering and
emancipatory(Goodson and Sikes, 2001). Bowker (1993) has argued that an age of biography
is upon us.
It has been argued that:
…in their nature, already removed from life experiences: they are lives interpreted and
made textual. They represent a partial, selective commentary on lived experience.
(Goodson and Sikes, 2001: 16)
In presenting my stories I accept that I have presented partial and edited lives. In choosing
specific storylines, I have effectively rejected others (Goodson and Sikes, 2001). This
inevitably raises ethical issues around researcher neutrality. However I reject assertions that
any research can be objective, neutral or value free (Greenbank, 2003). I am mindful that
some critics question the value of approaches that are value-laden, subjective, nongeneralisable (see for example Tooley’s critique of educational research, 1998). I am not
concerned with such criticisms. In my view stories can serve as powerful research tools by
casting lights onto the lived experiences of those whose voices have been silenced and
consequently marginalized. I argue that certain criteria used to judge the credibility of a
piece of research (for example, objectivity, reliability, validity) are inappropriate indicators
for judging the credibility of narrative research. I do not claim that my stories are
generalisable but they are stories that others might relate to and consequently for some
readers, the stories might ring true to them. In evaluating the quality of this research I hope
that my readers choose to evaluate the extent to which the events of the stories engage them,
and seem to be true. My intention is for the readers to bring their own interpretations to the
stories. Several authors have emphasised that criteria other than objectivity, validity and
reliability should be used to judge literary work. For example, Denzin (2003) cites Ellis
(2000) who argues that texts should be engaging and have the capacity to evoke thoughts
and feelings. Ellis (ibid) argues that texts should include authentic and life-like experiences
woven into a good dramatic plot. Two other authors are cited by Denzin (2003), namely,
Bochner (2000) and Richardson (2000a and b). Bochner (ibid) wishes to read a story that
‘moves me, my heart and belly as well as my head’ (cited in Denzin, 2003: 255). Richardson
(2000a) is concerned with stories that contribute substantially to our understanding of social
life, which are ‘a credible account of a cultural, social, individual or communal sense of the
“real”’ (Richardson, 2000b in Denzin, 2003: 255). Hitchcock and Hughes (2003) refer to the
Dyslexia and Self-Esteem: Stories of Resilience
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criteria of ‘authenticity’ or the extent to which the events in the story ring true to life. I share
these positions and hope that my readers can take something away from the stories I have
chosen to present.
4. The stories
4.1 Rich
Context:
The 1944 Education Act in England emphasised the importance of segregated education for children
who were deemed to be ‘uneducable’. The term ‘educationally subnormal’ was used to describe
children who had learning difficulties. During the 1960s the disability rights movement emphasised
the rights of children with disabilities to a mainstream education. The comprehensive system of
education was introduced and the 1970 Education Act facilitated the development of special education
units within mainstream schools. There was an increasing acceptance during this time that children
with learning difficulties had rights to a good education within mainstream provision.
Rich was born in 1959 to a middle class family in South Yorkshire, England. His father was a
relatively successful engineer. His mother, whose background was from a working class
family in Barnsley, England, had great ambitions for both of her children. She had achieved
little in her own life and was seemingly intent on rectifying the situation by driving her
children to success at all costs. Rich was, as a young child, placid and somewhat withdrawn.
He lacked confidence when faced with social interactions with his peers and in such
situations, whenever possible, would stay by the side of his older sibling for comfort and
reassurance. In more familiar situations he appeared comfortable. He generally conformed
to the expectations of the household, that he should be seen and not heard and other than an
occasional confrontation with his sister was in general a very easy going child. Shortly after
his birth his mother suffered from severe post natal depression and for the first 18 months of
his life Rich and his sister were brought up by their elderly grandparents.
In 1964, 3 months before his 5th birthday, Rich began full time education in a local primary
school. From the outset he found this new experience distressing. He spent much of each
day choosing to isolate himself from his peers and in tears. His teachers would frequently
call upon his older sibling to visit him in his classroom to offer him reassurance. However
this only provided temporary consolation, and as soon as she left, the traumas of school life
quickly enveloped him again. Rich would stand alone anxiously searching for his older
sister during playtimes. His distress was so great that he was unable to develop
relationships with his peers. Within only a few months of starting school life it became
evident that Rich was struggling with early reading and writing skills. This in turn caused
his mother great distress. Her anxieties were evident and these must have been transmitted
to her son. However it cannot be doubted that all subsequent events retold in this story were
intended to be in his best interests.
Rich seemed unable to grasp the rudiments of the alphabetic code. As children in his class
began to make progress and develop a basic knowledge of phoneme/grapheme
correspondence, Rich sat in a wilderness, seemingly unable to make sense of it all. His
mother set to work cutting graphemes from sticky backed paper and adhering them to his
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bedroom wall in an attempt to support him. Relentlessly his mother subjected him to several
coaching sessions each day. These had little or no effect and the alphabetic code continued
to remain inaccessible to him. The obvious anxiety and desperation exhibited by his mother,
without doubt, was absorbed by Rich who became more withdrawn. Unsurprisingly his
behaviour also became more challenging. He would become very uncooperative, refusing to
comply with even the most trivial expectations. He would begin to undertake tasks but
would rarely complete them. The household became a battle ground and Rich became more
and more unhappy and challenging, resulting in his mother becoming increasingly anxious.
The downward spiral had begun.
Within a year of Rich starting school his mother contacted a local teacher and weekly private
tuition was arranged. Rich was offered exactly the same diet as he was being given at
school. There was simply more of it. His private tutor found him difficult to motivate and it
was equally difficult to keep him focused on a task. He much preferred to engage with her
dog or to engage her in discussions which in her view had little relevance to given tasks
and were simply a means of distracting her from the role she had been given. She
suggested to Rich’s mother that private tuition was not supporting Rich and even
indicated that they had so little value that the tuition was of no value and should cease.
Rich’s mother did not appear to hear such comments and the private tuition continued for
a further two years while Rich made very little headway. When he was 7 his private tutor
withdrew her services. This was apparently due to her retirement although this is
questionable and may have been a means of dismissing her challenging pupil and his
equally persistent mother.
Rich continued to display challenging behaviour at home. By now he had begun to feel a
failure in many aspects of his life. His initial difficulties were in reading and writing as well
as some aspects of maths. He was now perceived by his mother as badly behaved,
uncooperative and as having an inability to concentrate. Their relationship was
deteriorating rapidly.
The school which Rich attended became the next target. The classes were too big and in the
eyes of his mother Rich was simply not receiving enough attention. A private education
became the next perceived solution to his difficulties. Smaller class sizes would surely result
in more attention being given to Rich and he would quickly make progress. A private school
in the city was chosen where Rich would continue his education. He was only 8 years old.
The school clearly had reservations about Rich joining their role. These were ignored by
Rich’s mother and a transfer to this fee paying school was swiftly arranged. Rich hated
every day of every week that he attended the school. There were frequent communications
from the school in regard to Rich relating to his lack of academic ability. He continued to
struggle in school and after only a year he returned to the primary school where he had
initially begun his education. He was certainly happy to return there despite the fact that he
continued to find reading and writing, particularly difficult.
His secondary education did little to improve the situation. Reports from school consistently
made reference to his ‘poor’ work, lack of concentration and inability to organise the daily
demands of school life. Another private tutor was employed to support him but this tutor
also quickly expressed concerns and declined to support him further.
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The comments made by Rich’s teachers poerfully illustrate the medical model of disability that
prevailed during this time. Within-child factors were blamed for Rich’s problems. There was no
onus on the school to reflect on its policies or practices and make adaptations to cater for Rich’s
needs. Consequently Rich was labelled as a failure by a schooling system that failed to accept
that it played a significant part in the problems that Rich was experiencing.
As a teenager, he was reminded on a daily basis of his ‘failings’. Homework, which must
have already been a challenge for him, heralded a daily battle ground. He was, by now,
extremely de-motivated and frequently failed to complete homework. He often denied that
any homework had been set. Communication between home and school all those years ago
was sadly lacking and this enabled Rich to dodge the bullets until the annual parent’s
evening when his lies were usually unearthed. He began to truant from school. Everyday
tasks were a challenge for him. His mother no longer blamed schools for Rich’s difficulties.
On a very personal basis his failure was now totally levelled at him. She perceived him as
‘difficult’ and uncooperative and their relationship was at an all time low. Rich took exams
but his grades were poor and he left school at the age of 16. It is only thanks to his father
that he managed to acquire a job in the mining industry as a fitter. Within 5 years he was,
unfortunately made redundant and for the next ten years did not work again.
Redundancy resulted in Rich living at home with his parents. They were thrust together for
24 hours each day. The relationship between Rich and his mother was one of total conflict.
His father was now retired and disabled and such conflicts caused him great stress. The
stress placed upon him now resulted in a rapid decline in the relationship between Rich and
his father. There were tranquil moments but these would be short lived. The inevitable
conflict between Rich and his mother resulted in a snowball effect and would quickly lead
to conflict between Rich and his father, who simply wanted peace and quiet.
Over the next 10 years Rich was perceived as the centre and cause of all conflicts within the
household. He applied for several new jobs which would inevitably lead to renewed
conflicts as he struggled to complete applications forms. His father would write them for
him but he found it difficult to copy what had been written. Time and again a new form had
to be sent for before yet another error was made as he tried to copy onto the form.
Arguments and verbal abuse would follow.
Life continued in the vain for several years. How the family existed on a day to day basis
under the same roof is nothing short of miraculous. In 1991 Rich’s father suffered his final
illness. It was a surprise to his family that although his father’s death was imminent Rich
made no attempts to visit him in the hospital. This was in fact to be the turning point in
Rich’s life. He was informed of his father’s death. He chose not to be present at the funeral.
Rich made one last visit to his home several weeks after his father’s funeral. There was
another dispute with his mother who ordered Rich out of the house. Twenty years later Rich
has never been seen by any members of his family since that day. No-one has any idea of his
whereabouts. He has simply vanished without trace. His mother is left distraught by the
absence of her son, seemingly confused by his ability to cut himself off from his family. Rich,
however, is happy and well. In 1959 there was seemingly little support or understanding of
children with dyslexia. For Rich there was additionally little support or comfort offered by
his parents. He simply made his escape to begin a new life. There is a plethora of support
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which he can now access to overcome his difficulties. Rich was never diagnosed as having
dyslexia. This could well have remained the case today. He did, however, encounter severe
difficulties in both reading and writing. He faced an uphill struggle, but, having left his old
life behind him, he has successfully made a transition to a life in which he has managed to
overcome his difficulties in peace and without judgement.
At the time when Rich went to school in the 1960s and 1970s there was no assumption that a
child’s learning difficulties could be the product of a schooling system that has failed to meet
the needs of a child. The medical discourse located the problems firmly within the child. Had
Rich attended school in the late 1990s rather than in the 1960s his story could have had a very
different ending. Rich was ultimately failed by a system of education that assumed he was
responsible for his own problems. The inclusion agenda, in contrast, places an onus on schools
to be practive in meeting children’s individual learning needs.
4.2 James
Context:
The Warnock Report (Warnock, 1978) examined the education of handicapped pupils and
recommended the concept of ‘handicap’ be replaced by the term ‘special educational needs’. The report
recommended the integration of pupils with special educational needs into mainstream schools and
classes and it emphasised the importance of parent partnership and an expansion in the role of local
authority support services to support the needs of children with specific needs. The 1981 Education
Act established the concept of integration and the statementing process. This process (which still
exists today in the UK) involves local education authorities in conducting an assessment of the child
to identify their specific needs. If the needs are severe, local authorities issue statements of special
educational needs which set out the statutory educational entitlements that the school and Local
Authority must provide to ensure that a child’s needs are met. The 1988 Education Act saw the
introduction of a National Curriculum which became an entitlement for all children, irrespective of
the type of school that a child attended. In 1989 the United Nations Rights of the Child emphasised
the social and educational inclusion of children with special educational needs and disabilities. The
1994 UNESCO Salamanca Statement emphasised the rights of all children to an education and the
important role that mainstreaming can play in combating discriminatory attitudes. The 1993
Education Act resulted in the first Code of Practice. This led to the introduction of a named person
within schools who was responsible for the education of children with special educational needs, the
special educational needs coordinator (SENCO).
James is 28 years old. He is the eldest child from a marriage between 2 teachers. James views
his life today as happy and secure and he eagerly looks towards the future with great
optimism. He is no different in many respects to thousands of people of the same age. Life is
good and the future looks bright. So what makes James and his enthusiasm for life different?
In reality James has travelled a very long and often turbulent journey. It is that journey that
has made James the young man he is today. His journey has paved the way to what he now
believes to be a future abounding with renewed optimism.
James was born in Sheffield, England in 1983. He was the first child of a middle class couple
and his arrival in the world was welcomed and celebrated by both his parents and their
extended families.
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James was not the easiest baby. He was born at 36 weeks and spent the first month of his life
in intensive care. He rapidly made progress and was discharged from the hospital to return
home with his parents. In terms of sleeping he was a challenge for his young parents and
from the early weeks of his life would sleep for only three hours before waking. This
continued until James began full time education shortly prior to his 5th birthday. The school
he attended was placed in a very middle class catchment area and systems in the school can
only be described as traditional. James had always been an extremely active child. His
energy levels seemingly had no bounds. He was inquisitive, the world was exciting and
every waking moment was a journey of exploration and intrigue. Life was full of questions.
He had a genuine love of books and the times he frequently shared these with his parents
were undoubtedly the only occasions on which he ever sat still. School life was not the
easiest of transitions for James. Suddenly there was an expectation that he would sit still and
listen for extended periods of time. He asked copious questions and within weeks he was
already labeled as difficult to motivate. The questions he asked were viewed a challenge to
authority. On one occasion he had spent an entire Friday afternoon immersed in developing
a model. As the school day drew to a close he was asked to disassemble his creation. He
enquired as to whether or not he could leave his construction and complete it the following
week. This was viewed as challenging behaviour and communications with his mother
quickly followed. His teacher was clearly none too impressed. James was happy when
engaged in practical tasks. Such opportunities rarely presented themselves and he quickly
developed a reputation for being a disruptive influence on his peers. His parents
endeavored to offer James additional support at home. They would concede to this day that
James much preferred situations in which learning was active and as teachers made every
effort to capitalize on this need to engage him in his learning. James enjoyed a degree of
success although he was clearly falling behind his peers in terms of his attainment in school.
Life was for living, life was fun and quickly James became the class clown. He was by no
means a naughty child. He could best be described as a rogue and both at home and at
school he would often test the boundaries and needed to know exactly where those
boundaries were. His antics gained him huge popularity with his male peers and he loved
the attention. In retrospect it was clear that James was a square peg in a round hole. The
educational establishment chosen for him did not effectively meet either his needs or his
preferred learning style. He spent many play times completing unfinished work. James
clearly found acquiring both early reading and writing skills challenging. He worked slowly
and was made to complete one task set by his teachers before beginning and completing the
next. To enable him to do so he often missed the elements of the curriculum that he so
enjoyed such as physical education. and technology. Consequently he spent the most part of
each day tied to a desk, trudging through endless reading and writing tasks that he clearly
hated and found very challenging. There were few opportunities for him to express himself
or to engage in physical activities which he clearly needed. James gravitated towards
children with similar personalities. They often came from backgrounds which were very
dissimilar to his own and such children did not enjoy the support of parents like those of
James. He found a common ground with these children and was thrilled by their antics and
freedoms in life. His parents continued to work with James and also to work alongside the
school to support him. James at the very least raised a few eyebrows amongst his teachers. By
the age of 8 he encountered one very severe teacher who was prepared to make absolutely no
adjustments to her 30 years of practice to accommodate the likes of James. Her systems and
approaches were extraordinarily rigid and there was absolutely no room for manoevre. His
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mother later recalled the ways in which she had attempted to work in collaboration with this
same teacher. She accepted, as a teacher herself, that James may not be the easiest or most
willing child to educate. To some degree this teacher did enjoy a modicum of success with
James. He was indeed terrified of her and would make every effort to complete written tasks.
She required a written product at the end of every lesson and was perhaps the first teacher to
ever successfully extract this from James. James spent much of his days in school seated alone.
By now he was clearly operating at a level below that of the majority of his peers. He was
however increasingly sharing, what he perceived to be, his current new found success with his
mother. At the end of the academic year there was an annual parents’ evening and with a new
found optimism James’ mother attended a meeting with the teacher. James’ mother, although
dubious about the teaching styles of the class teacher, did acknowledge the change in her son
who by his accounts was seemingly more focused in his work and making progress. The
meeting began. A torrent of negative attitudes in relation to James was all that his mother was
offered. Yes he was completing writing tasks but, but, but….his writing was untidy, he could
not spell words correctly even though they had been learned by him a month before. His
reading was not fluent; he was only really focused when he was making things or ’playing’ on
a computer. The result of this conversation was an unexpected and unrehearsed outburst from
James’ mother. She had listened to a torrent of negative comments about her son from the very
beginning of the conversation; she had not heard one positive comment. As if from no where
James’ mother halted the conversation and enquired as to whether the teacher had any
positive comment whatsoever to make in relation to James. Stunned the teacher confirmed that
James was both a polite and kind child. He was able to share and always carefully considered
the needs of others. ‘Thank you’ his mother replied before explaining that she felt that James
indeed needed to be aware of the ways in which he could make improvements to his work but
that he must also be made aware of his strengths. She wished to communicate both to him on
her return home. She then terminated the meeting thanking the teacher for advising her of the
areas in which James needed to focus but most importantly for identifying some positive
aspects of his nature.
For the next 2 years James slowly built on his progress in reading and writing. His reading
was slow and he often read ‘new’ words using an over reliance on a phonological approach.
Indeed when writing phonics was the prime approach he used to aid spelling. His mother
continued to engage James in exciting first hand experiences at home in a continuing effort
to both support and motivate him. She was now convinced that James, although very
distractible, was also facing a genuine difficulty in acquiring skills in both reading and
writing.
James‘ experiences at primary school illustrate the dominant discourse of integration that was
prevalent in the 1980s following the publication of the Warnock Report and the 1981
Education Act. Integration placed an onus on James to assimilate into a system of education
that did not address his specific needs. The result was that James became demotivated and
began to disengage with education. Within the discourse of integration there was no onus on
the teacher or school to make any adaptation to practices and the medical model dominated
traditional thinking around special educational needs
As James began his final year in primary school he was to meet a teacher who he recalls
with total admiration to this day. For the first time in his relatively young life James was
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made acutely aware of his strengths. As with other teachers she identified his interests and
strengths. Unlike previous teachers she capitalized on his strengths and interests. This same
teacher embraced his enthusiasm for computers. James was no longer expected to record all
of his work through pen and paper. He was encouraged to record much of it through word
processing. This was of course well received by James. Writing was no longer a chore and
became more enjoyable. This new approach however clearly began to identify that James
did indeed experience genuine difficulties in spelling and writing. He was now happy to
engage in the process and it became easier to identify his difficulties. James had without
doubt mastered the basics of the alphabetic code, however as he was now approaching his
11th birthday his work clearly identified his over reliance on phonics as the prime approach
to spelling new words. The teacher was fascinated by what she had discovered and in
discussions with James’ mother expressed her concerns that James was showing all the signs
of having surface dyslexia. This year in school was, for James, the happiest to date. He
worked with enthusiasm as his teacher celebrated his achievements but he was now also
able to acknowledge his difficulties and worked tirelessly to overcome these by sharing
them with a supportive mentor. As the time to move to secondary education quickly
approached this information was shared with the receiving school. James’ future suddenly
took on a whole new and positive meaning.
The final year in primary school quickly became a distant memory of a successful and
motivating time in James’ life. The days of despair returned on his transfer to secondary
school. His difficulties with both reading and writing were rapidly identified again. This of
course was a positive beginning to his life in a new school. Surely James would continue to
receive the support he needed. The reality was to the contrary. He was once again perceived
to be failing and there were few support systems in place. Within only a few weeks James
was again in the role of the class clown. He lacked focus in most lessons and failed to
complete tasks that involved written work. Homework was rarely completed and again he
gravitated towards other disruptive influences. During one parents’ evening he was
described by one teacher as the most stupid child she had ever met. His efforts now focused
on having fun, taking risks and he came under the spell of peer pressure. James was
excluded from school for taking alcohol onto the premises to drink with friends during the
dinner time break. A watch with an alarm was deliberately set by him to coincide with the
middle of a mathematics lesson. He was cautioned but repeated the prank the following
week At home, despite the best efforts of his parents, he refused to complete homework. He
had given up on school and was now relishing the excitement of testing and breaking rules
and boundaries. A significant act of defiance is often recalled by his parents. They had
negotiated a contract with him as vital examinations approached. He was to focus on
revision during the day and could then enjoy time with friends in the evening. One night
James prepared to leave the house to meet friends. He had not revised for his exams during
the day. He was now 15 years old. His departure was stalled by his father. James had broken
their contract and would not be allowed to meet his friends that night. In an act of total
defiance James left the house. He never returned that night and it was only on the afternoon
of the following day that he came home. His parents felt that this one incident was a turning
point. James had realized that he was ultimately in control of his own life. He coped with
the confrontations that followed his challenges to authority and when they were over he
challenged it again. When he was just 14 his mother noticed a dramatic change in his
behaviour and his personality. Intuitively she knew that such changes could well be the
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result of James experimenting with drugs. His father was far from receptive to this
suggestion. James quickly identified and capitalized on such opposing opinions and
skillfully used them to his advantage. He portrayed his mother as a crazed individual which
compounded his father’s view that indeed she was paranoid. The marriage did not survive
this ordeal and James’ parents separated. James and his sister stayed with their mother
whilst their father moved on to pastures new. Indeed only two months after the separation
James was ‘outed’ as a drug addict. Family life became very turbulent and strained. His
younger sister also suffered as a result of his habit which now revolved around heroine. She
was arrested when police forced entry into the house. She lived the nightmare of police
knocking on the door in the middle of the night. He fraudulently took several thousand
pounds from his mother’s account. Eventually his mother was faced with the dilemma of
meeting the needs of both of her children. Her decision was difficult but unavoidable and
James moved out to live with his father.
James‘ experiences at secondary school in the early 1990s illustrate the dominant discourse of
integration. James was perceived by his teachers to be a failure. There was no onus on the school
to be proactive by making adaptations to meet James‘ educational needs. Consequently James was
stigmatised and marginalised by an education system that was based on a medical model of
disability. This had disastrous consequences for James and his parents, as illustrated in the
events below.
The years that followed were turbulent years in so many different respects for the different
members of James’ family. James divorced himself from his mother for much of the next 7
years. There were meetings and telephone conversations. James was admitted to hospitals
on several occasions with life threatening conditions and his mother was always present and
James was glad to see her. His parents recalled the stresses felt by both themselves and
James during his admittance to hospital. In the main the system was supportive. James
would be prescribed methadone. It was rarely administered ‘on time’ and James would
quickly begin to suffer from withdrawal symptoms, threatening to discharge himself from
the hospital. Frequently hospital staff refused to communicate with James’ parents in
relation to his drug addiction. In attempts to ensure that James remained in hospital to
receive treatment for life threatening conditions they found themselves in the unthinkable
position of collecting heroine for him. Once discharged from hospital he went back to his
chosen lifestyle which was financially supported by his father in an attempt to prevent
James from thieving to finance his habit. To a certain extent such financial support did
minimize the number of occasions on which James became involved with the police
although there were several occasions on which he was arrested and he was, on one
occasion charged with shop lifting.
During this time James entered into a relationship and within 18 months his son was born.
On the day his son was born James was himself in hospital awaiting major surgery and was
unable to be present at his son’s birth. The relationship floundered. James gave little
emotional and no financial support to the mother of his child and the couple separated.
James made a few attempts to see his son but has now lost contact with him. Another
relationship began and a second child, a daughter, was born two years later. This
relationship was with a woman who also had a police record and seemed to prefer to live
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life on the wrong side of the law. It was an extremely volatile relationship and
disagreements between the couple often resulted in James making his escape to return to his
father only to be beaten up by gangs. His ribs were broken on several occasions and during
one such incident James was stabbed.
Finally, James admitted to wanting to escape from the horrific lifestyle he had chosen. With
the continued support of his family he finally sought help. An initial appointment with the
family doctor was made by James. He attended with his father. There was to be no lifeline.
Many medical practices had a policy that drug addicts were not treated. Eventually James
was accepted by a medical practice several miles away and began a methadone program.
The distance between his home and the fact that he no longer resided with his father, meant
that James rarely attended appointments with his doctor or missed appointments at the
chemists where he was given methadone. Time and again the doctors began a methadone
program for James ensuring that he also had access to human resources to support him.
Time and again the program failed.
In 2009 James’ mother and his father financed a program in a rehabilitation centre. James
was admitted for a week and placed under heavy sedations. On discharge from the centre
he convalesced with his mother. He was weak, emaciated and ‘on his own.’ During the
ensuing two years James continued to meet his needs for heroine from time to time. He
never fully returned to the days of being an addict. Today James is finally ‘clean’. He
ensures that he attends all follow up appointments and is reunited with his family. James is
‘high’ on life. He finds casual work whenever and wherever he can, and looks forward to
the day when he can find full time employment. His relationship with the mother of his
daughter ended and currently he is engaged in a legal battle to ensure that he is able to be
involved in his daughter’s life. James and his family are indeed positive about the future.
James frequently suffers periods of remorse and he still has a need to discuss those lost
years. It is all part of the healing process for both James and his family. Without the support
of a loving family James may well still be wandering the streets in search of his next heroine
fix. In reality he is now well on the road to recovery and a ‘new’ life. James is eternally
grateful for the support given by his family and the medical profession. His family is
eternally grateful for his determination to battle through the hell of withdrawing from
heroine. James and his family have lost over 10 years of his life to heroine. It is an experience
that they will never forget. James’ parents never stopped loving their son. Today, they
watch proudly, as James boldly takes steps towards the future.
4.3 Alex
Context:
Alex is slightly older than James. He was born in 1979 just after the publication of the Warnock
report and during his early schooling in the 1980s the dominant discourse was one of integration. The
medical model of disability prevailed at this time and ‘within-child’ factors were blamed for the cause
of children’s difficulties.
Alex began primary school in 1984. He attended a large school with approximately 400
pupils on roll in a two form entry system. Alex had good memories relating to school in
general until he reached the age of 9. The year was 1989 and his clear memory was of being
summoned, with no prior warning, to the Head Teacher’s office. His initial reaction was one
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of concern and he made the immediate assumption that this was a result of a misdemeanor
on his part even though he was unable to identify what this could have been. On entering
the office Alex was greeted by the Head Teacher (Mrs. P), his parents and his class teacher
(Mrs. E).
It was at this meeting that, for the first in his life, Alex was made aware that he was
considered to be a ‘slow learner.’ This was a totally new revelation to Alex who until this
point in time was completely unaware that either his teacher, his, parents or the school held
any concerns relating to his progress. Mrs. E explained that Alex had found it challenging to
complete given tasks, in reading and writing, within a given time constraint. Mrs. P’s
solution to this problem was to suggest that Alex would benefit from a transfer to a special
school. It was evident that Alex had absolutely no control or influence in the matter. The
decision regarding his future education had already clearly been made. From the outset
Alex had reservations about leaving a school where he was, happy settled, and had form
strong friendships with his peers. The term ‘special school’ did not bode well with Alex
either. Despite his anxieties Alex did not express his feelings. His mother insisted that Alex
would indeed transfer to the ‘special school.’ Within three weeks of this meeting taking
place Alex was attending his new school on a part time basis. Within half a term his
placement was on a full time basis.
Under the dominant discourse of integration the school had not been proactive in making changes
to its practices to meet Alex’s needs. Alex had been integrated into a school that was designed to
educate the masses and no specialist provision had been made availalable to enable him to make
progress. He had been labelled as a slow learner and no attempt had been made to differentiate
the learning to cater for his needs. He was ultimately blamed for his difficulties, illustrating a
dominant medical model of disability which prevailed in the post-Warnock period.
There swiftly followed a series of assessments, resulting in a diagnosis, for Alex, of
moderate learning difficulties. Alex had been placed in a special school which supported
pupils facing a multitude of differing special educational needs. He was educated in a class
of approximately six other children. He witnessed events that are emblazoned on his
memory to this day. Events that, until this point in his life, he had never witnessed before.
Many of his peers frequently displayed aggression. Chairs were flung across the classroom,
rulers were used as weapons, children were frequently restrained and teachers were
verbally abused and assaulted. School reports for Alex changed significantly. They
frequently made reference to his immature, irresponsible and unacceptable behaviour. His
friendships were with those who had been placed in the school to support them in
overcoming challenging behaviour. This disruptive behaviour was however, quickly halted
following a severe verbal reprimand from and educational psychologist, witnessed by his
parents. Thereafter his behaviour improved and he was frequently rewarded for meeting
behavioural expectations.
At the age of 12 Alex was offered the option of returning to mainstream secondary
education. He embraced this opportunity but quickly struggled to be educated alongside his
main stream peers in larger classes. His entry to secondary school had already been delayed
by one year. The transition was difficult for him and he faced it with neither peer support
nor carefully considered transition planning in place. Consequently Alex made a decision to
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move to the ‘secondary special needs school’ and was reunited with his peers and the
challenging behaviours they displayed.
Alex has a clear recollection of facing National Curriculum test papers in mathematics and
writing. The outcomes of these tests were never communicated to him. He does however
recall, again, struggling to complete the writing of a story within the time constraints.
Spelling also remained a challenge for him. There was never an opportunity for Alex to
work towards GCSE examinations. He did, however, have the opportunity to undertake
focused work placements.
As Alex completed year 11 in secondary school he had gained no qualifications. To the
amazement of his parents, however, Alex made the decision to pursue his education at the
local further education college. He had not enjoyed school life in more recent years but was
able to identify the reasons for this. The challenging behaviour and constant disruptions
effected by his peers had been central to his unhappiness. Alex however had never lost sight
of the importance and value of education.
At college Alex enrolled on a Health and Social Care course. He still did not perceive that he
had encountered any difficulties in learning despite attending two special schools. On being
asked if he had any learning difficulties Alex responded in the negative. Alex had a desire to
reinvent himself and this seemed to be an appropriate time to do so. He wished to eradicate
any associations with the special schools and wished to remove the label of ‘the boy with
special needs.’ During his first year at college his tutor suggested that he should be assessed
to determine whether he had dyslexia. Alex agreed to this and subsequently he was given a
diagnosis of dyslexia. Following his diagnosis Alex encountered many other students, some
of whom were mature, who also shared diagnoses of dyslexia. He listened to their personal
recounts of school life which often mirrored his own experiences. Additionally students
recalled incidents when they had been the recipients of verbal and physical abuse from
teachers. Many had been excluded from lessons. For Alex this was a defining moment in his
life. From these frank and open discussions he acquired a true sense of belonging and his
sense of isolation was quickly dispersed. Alex was now being educated with like minded
people who had similar aspirations for their future but who had all shared similar
experiences in their formative years in education.
A diagnosis of dyslexia for Alex opened the doors to additional focused support. He was
able to access additional tutor support; computer aided dictionaries and electronic spell
checkers as well as being able to readily access laptops during lessons. Through such
support Alex achieved a distinction in his Health and Social Care course and further
progressed onto vocational qualifications which led into a career in the health sector.
Currently Alex is studying towards a science degree.
The impact of Alex’s experiences continues, to some degree, to affect his life today.
Attending courses to further enhance his own professional development are daunting
experiences for him. He worries that on such occasions there may be an expectation for him
to read or write in front of others. Alex continues to struggle with spelling, reading and
writing and displays a strong preference for using a computer rather than writing by hand.
In many aspects of his work he is required to hand write commentaries and notes, such
situations are unavoidable and remain a source of stress to Alex.
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Alex’s later educational experiences at Further Education College powerfully illustrate a shift in
thinking from a medical to a social model of disability. Ajustments were made to enable Alex to
achieve his full educational potential and resources were provided which helped to break down
barriers to learning and participation. Alex’s experiences at college demonstrate the shift from a
dominant discourse of integration to the discourse of inclusion, post Salamanca. Alex was no
longer blamed for his difficulties and the proactive response demonstrated by the college is
synonymous with inclusion which was advanced as a policy agenda under the Labour government
post 1997.
4.4 Sophie
Context:
The 1994 UNESCO Salamanca Statement emphasised the rights of all children to an education and
the important role that mainstreaming can play in combating discriminatory attitudes. The 1993
Education Act resulted in the Code of Practice for special educational needs. This led to the
introduction of a named person within schools who was responsible for the education of children with
special educational needs, the special educational needs coordinator (SENCO). Differentiated
educational provision became more common during the 1990s and teachers became skilled in
planning learning activities to meet the diverse needs of a range of learners as the social model of
disability began to dominate thinking around disability. . The Labour government advanced the
inclusion agenda post 1997 and this placed an onus on all educational institutions to be proactive in
meeting children’s individual needs by making adaptations to policies and practices. Disability
Discrimination legislation in the 1990s placed a duty on teachers to make ‘reasonable adjustments’ to
cater for the needs of children with special educational needs.
Sophie was almost 5 years old when she went to school in a small village in England. Before
this time in her life Sophie had enjoyed the continual love and support of her family. She
had spent her young life enjoying the love and affection of her parents and grandparents and
was never far away from either of them. Sophie found the transition from the securities of
home life to the new experiences of school life traumatic. She struggled to cope when her
mother left her at school each morning. Each experience was a new experience for Sophie and
she yearned to be with her mother for support and comfort. Two weeks late, Sophie continued
to find the transition difficult. Her teacher instigated a meeting with Sophie’s mother in an
attempt to work collaboratively to ease Sophie’s distress. This was the prime purpose of the
meeting and it was assumed by Sophie’s teacher that the reasons would be totally transparent.
On the day of the meeting Sophie’s mother arrived, already clearly distressed. She was in
fact convinced that Sophie’s teacher was poised to reveal her greatest fear. That Sophie was
dyslexic. Sophie’s mother explained in minute detail her reasoning. She had obviously held
this fear for a long time. Well before Sophie had begun her full time education. Schools in
England are usually unable to secure such a diagnosis until a child reaches the age of 7 and
at this moment in time Sophie’s teacher had no evidence to suggest that Sophie was
dyslexic. She did not however dismiss the concerns of Sophie’s mother. In two weeks she
had no evidence to suggest that Sophie was encountering such difficulties. The main areas
of concern were Sophie’s social and emotional needs.
As the weeks went by the events of this meeting remained fresh in the teacher’s mind. Why
had Sophie’s mother seemed so certain that Sophie was dyslexic? She had spent almost 5
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years with Sophie and although the evidence she presented could have related to most
children of a similar age she was convinced of her findings. Indeed throughout the
following year Sophie did begin to find it immensely difficult to acquire early reading and
writing skills. She would appear to master a new skill but quickly lost the skill only needing
to be supported again to address it. This vicious circle continued and Sophie’s overall
attainment, in these areas of her learning, became a cause for concern. She became very
distressed when she anticipated the need to complete a reading or writing activity.
Frequently her fears were unfounded but if she predicted that she would be asked to read or
write she would become inconsolable. Her teachers were supportive and compassionate and
Sophie consistently enjoyed praise for her achievements. This was to no avail. Sophie had
already developed an innate fear of applying these skills. When engaged in other activities
Sophie was confident and during discussions she was extremely articulate.
During the ensuing 2 years the school worked in collaboration with Sophie’s mother, never
denying that there was now a possibility that Sophie was dyslexic. There was access to little
support for the school to support Sophie. Any enquiries were quickly and abruptly
dismissed. There was an age barrier to accessing further support for Sophie. Her mother and
now her teachers were convinced that Sophie needed additional support to overcome her
difficulties. Sophie finally reached that mile stone 7th birthday and the process of screening
for dyslexia could finally begin.
In reality the process was slow. External agencies were involved and there was doubt that
Sophie was dyslexic. Her mother and the school remained convinced. The specific diagnosis
was not a concern. Their shared mission was to receive additional advice relating to
supporting Sophie. It was in fact almost 3 years later before Sophie was officially diagnosed
as having dyslexia. Until that time the school had worked tirelessly to support Sophie.
Sophie in turn had begun to use her difficulties as a crutch. She approached all aspects of
reading and writing with a dyslexic barrier firmly placed between herself and the teacher.
She was difficult to motivate and had a plethora of excuses. She was able to support her
negative attitudes with a multitude of reasons as to why she could not attempt them. The
staff in school found her attitudes challenging and on occasions she was confronted by their
frustrations. They made every effort to remain clam but the barrage of information relating
to ‘my dyslexia’ aimed at them by Sophie became a huge challenge. Sophie’s views were
acknowledged and much was done in an attempt to meet her needs. One practitioner
recalled the day when Sophie was using a computer to word process her work. She was
particularly difficult to engage on this occasion and finally explained that she found it
difficult to work when the screen background was white. The screen was in fact yellow and
had already been changed to meet her needs as Sophie had previously requested.
During the final year of Sophie’s primary school education she finally received the diagnosis
she and her mother had sought. Additional support was now readily available for Sophie,
her mother and the school. Much of what was offered had already been provided by the
school in the years before her diagnosis. However the difference in Sophie’s attitudes
towards her learning was swift and positive. No one had ever doubted her difficulties with
reading and writing, she had been supported by every teacher and yet it was her diagnosis
that was the key to opening the door to engaging Sophie in working towards overcoming
the challenges she faced. It was as if, in Sophie’s mind, everyone now believed her.
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Sophie’s experiences illustrate that the process of formally recognising a child’s specific needs in
England can be a long drawn-out process. The statementing process that was introduced following
the 1981 Education Act is complex and in reality children may not receive a diagnosis until the end
of their primary education.
Sophie enjoyed her final year in primary school. She and her mother were now more relaxed
and at ease. She was frequently visited by specialist and her diagnosis indeed did much to
develop her confidence and self esteem.
Sophie’s battle was briefly revisited when she began her secondary school education. It is
thanks to her mother, who worked tirelessly for 6 months to ensure that Sophie received the
support she was entitled to, that Sophie again began to make progress. Sophie enjoyed her
success and left the secondary school with 6 GCSE s before continuing her education and
also gaining 3 ‘A’ levels. This was followed by a course in which she successfully qualified
to become a nursery nurse.
Sophie eventially managed to recieve the support she needed at secondary school to enable her to
make good progress. This demonstrates the shift from integration to inclusion during the 1990s.
The discourse of inclusion reflected a social model of disability which placed an onus on all
educational institutions to make changes to their policies and practices to enable learners to make
progress. Consequently Sophie was able to thrive during the final years of her school career due to
the support that she received.
Sophie secured a position as a nursery nurse where she enjoyed every moment of the next 4
years. Her work was consistently praised and acknowledged. Sophie worked with a range
of children with widely differing needs. She effectively supported them all. Over time,
working under the direction of someone else became a frustration for Sophie. She had ideas
and strategies of her own, which she wished to implement, but was unable to do so in the
position she held. Her ideas of a new and different future began to form. In September 2008
Sophie applied to begin a teacher training course and was accepted.
Sophie was thrilled to have secured the opportunity to train as a teacher. Her difficulties
with reading and writing had by no means disappeared and throughout her teacher training
course she accessed a great deal of readily available additional support to aid her with the
many assignments she was required to complete. She learned how to overcome her
difficulties and spent far more time completing assignments than her contemporaries. Her
grades began to improve. By now Sophie was married and the dedication to succeed she
demonstrated was met with anger and aggression from her husband. He understood neither
her drive nor her determination. The short marriage ended and Sophie was left devastated
but still held onto a belief that she could succeed. In the practical aspects of her course
Sophie excelled. She was truly committed to her chosen career path. She was creative and
would spend hours carefully considering the ways in which she could engage her pupils
whilst meeting their many individual needs. Committing her plans to paper was time
consuming for Sophie but was deemed time well spent as she was highly motivated to
ensure that her pupils enjoyed success. Sophie had been well supported throughout her life
to overcome her difficulties. Her mother knew that from an early age Sophie was dyslexic.
Could this possibly be because she recognized a mirror image of her own difficulties?
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Whatever the reasons she worked tirelessly to ensure that Sophie could access the support
she required. Throughout her life in school Sophie’s difficulties, even before she gained an
official diagnosis of dyslexia, were acknowledged and she eventually gained the specialist
support that she needed. The greatest contribution to Sophie’s success must be Sophie
herself. She has shown great determination and ambition which culminated in Sophie now
being poised to begin her first year in teaching as a newly qualified teacher. The future looks
bright for Sophie and her dreams have finally become a reality
5. Discussion
The stories illustrate the powerful discourses which have influenced children with learning
difficulties at various times. Rich’s story illustrates schooling in England in the 1960s which
failed to recognise individual needs and emphasised perceived deficits: ‘There were frequent
communications from the school in regard to Rich relating to his lack of academic ability’ .... ‘Reports
from school consistently made reference to his ‘poor’ work, lack of concentration and inability to
organise the daily demands of school life’. A powerful normalising discourse pervaded at the
time. Children were expected to keep up with the rest of the class and deviations from the
norm were treated as failures.
Interestingly, the stories of James and Alex illustrate that two decades later, in the 1980s,
little had changed despite policy rhetoric which emphasised the necessity for schools to
meet children’s individual needs. The influential Warnock Report (DES, 1978) had
introduced the language of special educational needs and emphasised the capacity of
mainstream schools to meet a diverse range of needs. However, under this discourse of
integration, James’ story powerfully illustrates that no attempts were made to meet his
specific needs. Throughout his primary education teachers focused on his deficits and rather
than the deficits in their own teaching, which may have contributed to James’
disengagement. Within this normalising discourse, James was simply expected to assimilate
into a largely unchanged system. Alex’s story also illustrates a normalising discourse. The
school failed to meet his diverse needs and consequently he was marginalized and
excluded. He was viewed in terms of his deficits and punished by not being allowed to
attend his mainstream primary school. This story powerfully illustrates the extent to which
integration placed the onus on the child to adapt to the schooling system and how not
adapting led to punishment. Both Alex and James’ story illustrate how integration could be
perceived as a normalising discourse which emphasised children’s deficits. No attempts
were made by Alex’s and James’ teachers to identify deficit aspects of their practices which
could have contributed to their disengagement.
The connecting theme for Rich, James, Sophie and Alex is a theme of discrimination. The
consequences of this discrimination were severe in James’ case and his subsequent decision
to engage in a life of crime could have been the consequence of his low self-concept. For
Alex and Sophie discrimination was evident through a late diagnosis of dyslexia and, for
Alex, his exclusion from mainstream education.
Sophie’s story illustrates powerfully the impact of dyslexia on her self-concept. She
approached tasks anxiously and with fear and often used made excuses to avoid certain
tasks. Both Sophie’s story and Alex’s story illustrate the benefits of the diagnosis. In both
cases the diagnosis was delayed but following the diagnosis both enjoyed additional
support. It is pertinent to note that in both cases, the diagnosis came in the 1990s when
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England was moving towards an agenda for inclusion. This discourse placed more of an
onus on the schools to proactively meet the needs of the child rather than adopting a deficit
perspective.
In all the stories there is an emerging theme of parental support but in some stories it is
evident that parents had to fight to get support and worked tirelessly to achieve help for
their child. Sophie’s mother, for example, worked tirelessly to obtain a diagnosis of dyslexia.
In Rich’s story it is evident that parental support can be a negative factor: ‘On a very personal
basis his failure was now totally levelled at him. She perceived him as ‘difficult’ and uncooperative
and their relationship was at an all time low’. In Alex’s case his parents were supportive but
were clearly influenced by the views of more powerful professionals when the decision was
made by the school for Alex to attend a special school. It was interesting that, at this time,
the views of both Alex and his parents were seemingly irrelevant. This was a time before the
dominant discourse which exists currently which emphasises the rights of parents and
children to be involved in all decision making. This is now clearly articulated in the Code of
Practice for Special Educational Needs (DFEE, 2000).
A connecting theme for all stories relates to the impact that dyslexia has had on the
informants as adults. Sophie continually has to address her literacy difficulties every day
whilst working as a teacher and he has to find strategies to overcome these. Form filling and
note taking is problematic for Alex in his current job. Rich struggled to fill in job
applications and needed support from his father. James continues to struggle with day-today writing tasks. However, despite this, a theme of resilience also connects all four stories.
Alex is now successfully re-engaging in education. Sophie has achieved her life time
ambition to be a teacher. James has broken away from his life of crime. For these three
informants dyslexia has affected them but not paralysed them. For Rich resilience is
manifest in a different way. He rejected his family to pursue a new life where he could enjoy
being himself. The perpetual deficit view that he had been given was finally shaken off as he
sought to re-invent a new identity for himself.
Alex’s rejection of the term ‘special needs’ powerfully illustrates the extent to which the
terminology of special needs can pathologise individuals. The term emphasises a person’s
deficits, which reflects a medicalized view of disability. According to Thomas and Loxley
(2007) ‘there is an unspoken acceptance of need as a means of securing removal of the child’
(p.54). Within this discourse the child is deemed in need to professional help from ‘expert’
professionals who focus their attention on locating the source of the difficulty within the
child. Within a medical discourse the child is re-conceptualised as a sufferer and a victim and
this reinforces a sense of powerlessness (Thomas and Loxley, 2007). Thus ‘need’ comes to
represent deficit and disadvantage (Thomas and Loxley, 2007). There is a need to move
away from such a pathologising discourse and focus on children’s rights rather than needs.
Such a paradigm shift has more positive connotations and emphasises the deficits in the
school rather than the deficits in the child.
6. Conclusion
The narratives presented in this study evidence a united sense of resilience that emerges in
all four stories. However, the resilience is demonstrated in differnet ways in each of the
stories. There is evidence in these stories of low teacher expectations, for example in Rich’s
story, and there is evidence of marginalisation of children with dyslexia. Alex’s story
represents a powerful example of this. Jame’s story illustrates that the costs of literacy
Dyslexia and Self-Esteem: Stories of Resilience
185
failure can have devastating consequences and although it is not possible to make a direct
link between criminal activity and literacy failure, it could be argued that James‘low selfconcept, could have been a significant factor in his criminal activities in later life. Parental
support ranged from being supportive to over-bearing. For example, the support from
Sophie’s mum inevitably impacted on developing a secure sense of self which was clearly
evident following her diagnosis However, Rich’s mother had overly optimistic ambitions for
him which resulted in his determination to rebel and dis-own his family. What emerges
from these stories is a sense of success. Through determination and resilience, both Sophie
and Alex have achieved their academic ambitions. James has overcome his drug addiction
and is now considering re-engaging with education. Rich has made a new life for himself
away from the pressures of his mother who, although over-bearing, only had what she
considered to be his best interests at heart. The stories expose pain and suffering but, above all,
they illumiate the discrimination experienced by all the informants in their education. Rich
never had a diagnosis of dyslexia. If he had, the outcomes could have been more positive and
Rich might still be in contact with his family today. Alex was denied access to a mainstream
primary education. All informants believe that they have dyslexia. Some received official
diagnoses, but these often came too late. Others, received no diagnosis, which left them
vulnerable and unable to understand why they found reading and writing so difficult. Given
the range of issues identified through these stories it is important that further narrative
research is conducted and published to illustrate the effects of dyslexia on people’s lives.
7. Acknowledgment
I wish to express my gratitude to all four of my informants for allowing me to write their
stories of resilience.
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