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Sophie Capmartin Tulane University/Ecole Bilingue de la Nouvelle-Orléans scapmart@tulane.edu NCDLI 2019 Report on a study conducted in 2014-2015 on the performance of first graders attending a French Immersion (FI) school in New Orleans on the DIBELS NEXT and the IDAPEL tests Sophie Capmartin Tulane University/Ecole Bilingue de la Nouvelle-Orléans scapmart@tulane.edu NCDLI 2019 1. The origin of the study in the context of French immersion (FI) education in Louisiana 2. Literature review: importance of assessing early literacy skills acquisition and cross-language transfer 3. Method > participants > measures: DIBELS and IDAPEL 4. Results 5. Discussion 6. Conclusion: practical input on reading interventions with at-risk students in FI programs ü Lycée Français de la Nouvelle-Orléans, a French immersion charter school founded in 2011 ü ü DIBELS (Dynamic indicators of Basic Early Literacy Skills) Next IDAPEL (Indicateurs Dynamiques d’hAbiletés Précoces en Lecture) ü School year 2014-2015 (first graders) ü Compare the performances of a cohort of first graders attending a FI program on the DIBELS Next and IDAPEL tests. Determine whether there is a difference in the acquisition of early reading skills between English and French, 1st and 2nd languages respectively Make recommendations with regard to the usefulness of conducting systematic early literacy formative assessments in both French and English, using DIBELS Next and IDAPEL ü ü S.Capmartin_NCDLI 2019 ü A French colony 1682-1804 ü ü A slow decline State Constitution of 1921 forbids the use of French at school Reconstitution of a 20th century school site in Vermilionville Folk life park in Lafayette, Louisiana ü ü 1921: State Constitution forbids the use of French at school 1968: Creation of the Council for Development of French in Louisiana (CODOFIL) S.Capmartin_NCDLI 2019 ü ü ü ü 1921: State Constitution forbids the use of French at school 1968: Creation of the Council for Development of French in Louisiana (CODOFIL) 1st state for FI programs in the US In 2018-2019: 34 schools 5,279 students 200+ teachers (including 135 hired by the CODOFIL) S.Capmartin_NCDLI 2019 ü ü ü ü ü ü 1921: State Constitution forbids the use of French at school 1968: Creation of the Council for Development of French in Louisiana (CODOFIL) 1st state for FI programs in the US In 2018-2019: 34 schools 5,279 students 200+ teachers A 43% increase in enrolment since 2014 (25 schools; 3,687 students) A need for formative tools to assess L2 proficiency in FI programs S.Capmartin_NCDLI 2019 Why did you look for a French-language formative assessment for your school/parish? “To measure acquisition in the target language and have data to support the benefits of the program.” Felise Williams, Principal of Evangeline elementary in Lafayette “To measure proficiency overtime.” Catherine Bricelj, Principal of the French immersion school, Myrtle Place elementary in Lafayette “To have data on students in their immersion language to make decisions on students RTI and SPED placement.” Tia LeBrun, World language and immersion specialist at Lafayette Parish School System IMPORTANCE OF EARLY IDENTIFICATION AND PREDICTORS OF READING ABILITIES ü Reading proficiency linked to academic achievement ü Correlation between poor reading proficiency and attrition in immersion: ü The importance of early identification and targeted intervention: ü Three prerequisite skills, predictors of subsequent reading abilities: – oral proficiency – metalinguistic awareness – general cognitive development (Bialystok, Luk & Kwan, 2005) “reading difficulties are one of the most important factors influencing parents to transfer their children, and parental decisions to withdraw their children are typically made prior to the end of Grade 3” (Wise and Chen, 2010). “Early identification and targeted intervention have been found to maximize response to intervention and to help prevent reading difficulties altogether”(Erdos, Genesee, Savage, and Haigh, 2010). S.Capmartin_NCDLI 2019 METALINGUISTIC AWARENESS Alphabetic principle ü Alphabetic understanding (letters represent sounds) ü Phonological recoding S.Capmartin_NCDLI 2019 Phonological awareness ü Ability to hear and manipulate sounds DIBELS NEXT AND IDAPEL ü DIBELS measures were created “to be economical and efficient indicators of a student’s progress toward achieving a general outcome.” (Kaminski, Cummings, Powell-Smith, and Good, 2008) ü DIBELS measures can be used to: > identify at-risk students (benchmark testing) > track progress (progress monitoring) ü Measures are administered three times a year One-minute timed task ü Benchmark goals and cut points for risk ü Dynamic Measurement Group, DIBELS Next Benchmark Goals and Composite Score, December 1, 2010. DIBELS NEXT AND IDAPEL ü Dynamic Measurement Group (DMG) founded by Roland H. Good and Ruth Kaminski (1980s, U.of Oregon) ü ü ü DIBELS initially released in 2002 DIBELS Next released in 2010 15,000 schools used DIBELS in 2012 (Morris, Trathen, Perney, and al., 2017) ü ü ü IDAPEL co-authored by Chantal Dufour-Martel and Roland H.Good Released in 2011 To address the lack of early literacy assessment tools in French language for FI programs in Canada S.Capmartin_NCDLI 2019 DIBELS NEXT AND IDAPEL ü ü The foundational skills of reading What is early reading according to the 2000 National Reading Panel and the National Research Council: S.Capmartin_NCDLI 2019 DIBELS NEXT AND IDAPEL TASKS Retell Fluency (RF) Rapport du Récit (ROR Oral Reading Fluency (ORF) Facilité en Lecture Orale (FLO) Nonsense Word Fluency (NWF) Facilité à reconnaitre des Non-Mots (FNM) Phoneme Segmentation Fluency (PSF) Facilité à Segmenter des Phonèmes (FSP) First Sound Fluency (FSF) Facilite a reconnaitre le Premier Son (FPS) Letter Naming Fluency (LNF) Facilité à Dénommer des Lettres (FDL) Risk Indicator Phonological Awareness Alphabetic Principle and Phonics Accuracy and Fluency Comprehension How do we assess early literacy skills in a bilingual educational environment? Should formative assessment be conducted in both languages? ü Positive transfer of literacy skills from one language to the other: “The interdependence hypothesis would predict that in a bilingual program, reading instruction in one language not only leads to literacy skills in that language, but also to a deeper conceptual and linguistic proficiency, which is strongly related to literacy and general academic skill in the other language” (Verhoeven, 1994). ü Cross-linguistic correlations between overall reading ability and component skills of reading “significant and positive cross-linguistic correlations between overall reading ability as well as in component skills of reading (such as phonological awareness, knowledge of letter-sound relationships, and decoding) and, thus,learning to read in one language facilitates reading acquisition in the other” (Savage, and al., 2017) ü Role of phonological awareness (PA) in L1 as a predictor for subsequent word-identification ability in L2 (see Genesee and Jared, 2008 for a literature review on these studies for FI students) S.Capmartin_NCDLI 2019 HYPOTHESIS: All measures of the IDAPEL test will be positively correlated to the DIBELS ones PARTICIPANTS: § 103 first graders § Type II Charter school > priority enrollment for “economically disadvantaged” students (up to 67% of available seats) § Average age 6.4 § 57 girls / 46 boys Race Gender Boys 45% Asians 4% Blacks 22% Girls 55% Whites 60% Hispanics 14% Instruction time ELA/FLA/French-medium (other topics) 400 350 300 250 200 180 315 150 120 100 50 60 45 0 K 1st ELA FLA Other (French) S.Capmartin_NCDLI 2019 PROCEDURE AND MEASURES: § Two sets of measurements (DIBELS NEXT and IDAPEL) at beginning of year (September), middle of year (January), and end of year (May) § All measures administered and collected by the school S.Capmartin_NCDLI 2019 Retell Fluency (RF) Rapport du Récit (ROR) Oral Reading Fluency (ORF) Facilité en Lecture Orale (FLO) Words Read Correctly (ORF-WRC) Accuracy (ORF-A) Correct letter Sounds (NWF-CLS) Nonsense Word Fluency (NWF) Facilité à reconnaitre des Non-Mots (FNM) Whole words Read (NWF-WWR) Phoneme Segmentation Fluency (PSF) Facilité à Segmenter des Phonèmes (FSP) Letter Naming Fluency (LNF) Facilité à Dénommer des Lettres (FDL) BEGINNING OF YEAR MIDDLE 2019 OF YEAR S.Capmartin_NCDLI END OF YEAR DIBELS Kindergarten Scoring Booklet DIBELS Benchmark Assessment Edited By: Roland H. Good III Ruth A. Kaminski University of Oregon (2007) Letter Naming Fluency (LNF) Facilité à Dénommer des Lettres (FDL) BEGINNING OF YEAR https://dibels.uoregon.edu/docs/ materials/k_benchmark_6th_ed.pdf MIDDLE OF YEAR S.Capmartin_NCDLI 2019 END OF YEAR Phoneme Segmentation Fluency (PSF) Facilité à Segmenter des Phonèmes (FSP) DIBELS Kindergarten Scoring Booklet DIBELS Benchmark Assessment Edited By: Roland H. Good III Ruth A. Kaminski University of Oregon (2007) https://dibels.uoregon.edu/docs/ materials/k_benchmark_6th_ed.pdf BEGINNING OF YEAR MIDDLE OF YEAR S.Capmartin_NCDLI 2019 END OF YEAR § NWF sub-measures: > NWF-CLS (Correct Letter Sounds) > NWF-WWR (Whole Word Read) IDAPEL, Manuel de formation essential sur l’administration et la notation des preuves, Chantal Dufour-Martel, Roland Good, Ruth Kaminski (revised sept. 2013) Correct letter Sounds (NWF-CLS) Nonsense Word Fluency (NWF) Facilité à reconnaitre des Non-Mots (FNM) Whole words Read (NWF-WWR) BEGINNING OF YEAR MIDDLE OF YEAR END OF YEAR IDAPEL, Manuel de formation essential sur l’administration et la notation des preuves, Chantal Dufour-Martel, Roland Good, Ruth Kaminski (revised sept. 2013) Retell Fluency (RF) Rapport du Récit (ROR) Oral Reading Fluency (ORF) Facilité en Lecture Orale (FLO) BEGINNING OF YEAR MIDDLE OF YEAR Words Read Correctly (ORF-WRC) Accuracy (ORF-A) END OF YEAR Ø There were significant positive relationships between IDAPEL and DIBELS for all tests at all times of year Ø p < 0.01 Ø 0.51 < r-values < 0.92 BOY MOY EOY LNF PSF NWFCLS NWFWWR NWFCLS NWFWWR ORFWRC ORF-A NWFCLS NWFWWR ORFWRC ORF-A Person r 0.62   0.51   0.85   0.81   0.71   0.62   0.90   0.64   0.71   0.74   0.92   0.73   r2 0.38   0.26   0.72   0.66   0.50   0.38   0.81   0.41   0.51   0.54   0.85   0.53   P value 2.89E-­‐12   3.09E-­‐08   4.54E-­‐30   1.76E-­‐25   3.98E-­‐17   2.96E-­‐12   4.33E-­‐39   2.80E-­‐13   1.89E-­‐17   7.10E-­‐19   1.73E-­‐44   1.71E-­‐18   Table 1: Correlation between specific DIBELS measures and corresponding IDAPEL measures S.Capmartin_NCDLI 2019 Ø Most significant positive relationship is between the Nonsense word fluency measures at the BOY and between the Oral reading fluency measures at MOY and EOY. BOY MOY EOY LNF PSF NWFCLS NWFWWR NWFCLS NWFWWR ORFWRC ORF-A NWFCLS NWFWWR ORFWRC ORF-A Person r 0.62   0.51   0.85   0.81   0.71   0.62   0.90   0.64   0.71   0.74   0.92   0.73   r2 0.38   0.26   0.72   0.66   0.50   0.38   0.81   0.41   0.51   0.54   0.85   0.53   P value 2.89E-­‐12   3.09E-­‐08   4.54E-­‐30   1.76E-­‐25   3.98E-­‐17   2.96E-­‐12   4.33E-­‐39   2.80E-­‐13   1.89E-­‐17   7.10E-­‐19   1.73E-­‐44   1.71E-­‐18   S.Capmartin_NCDLI 2019 Ø Least significant relationship is between the phoneme segmentation measure at the BOY BOY MOY EOY LNF PSF NWFCLS NWFWWR NWFCLS NWFWWR ORFWRC ORF-A NWFCLS NWFWWR ORFWRC ORF-A Person r 0.62   0.51   0.85   0.81   0.71   0.62   0.90   0.64   0.71   0.74   0.92   0.73   r2 0.38   0.26   0.72   0.66   0.50   0.38   0.81   0.41   0.51   0.54   0.85   0.53   P value 2.89E-­‐12   3.09E-­‐08   4.54E-­‐30   1.76E-­‐25   3.98E-­‐17   2.96E-­‐12   4.33E-­‐39   2.80E-­‐13   1.89E-­‐17   7.10E-­‐19   1.73E-­‐44   1.71E-­‐18   Table 1: Correlation between specific DIBELS measures and corresponding IDAPEL measures S.Capmartin_NCDLI 2019 Ø Statistical significance (p-values) of the correlation between all DIBELS and all IDAPEL measures: strong relationships for most measures (p < 0.01) DIBELS   BOY   LNF   IDAPEL        NWF-­‐ CLS   NWF-­‐ WWR    NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   EOY   ORF-­‐A      NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   ORF-­‐A   LNF   2.9E-­‐12   3.3E-­‐02   2.1E-­‐10   4.9E-­‐09   1.4E-­‐07   8.9E-­‐08   1.9E-­‐09   1.7E-­‐07   1.9E-­‐13   3.6E-­‐13   5.1E-­‐11   1.1E-­‐05   PSF   2.9E-­‐02   3.1E-­‐08   1.5E-­‐01   4.5E-­‐01   2.9E-­‐02   3.8E-­‐02   3.1E-­‐01   1.5E-­‐01   3.2E-­‐03   4.1E-­‐03   1.5E-­‐01   1.2E-­‐02   1.8E-­‐08   1.1E-­‐02   4.5E-­‐30   1.2E-­‐28   3.4E-­‐17   9.4E-­‐18   2.8E-­‐29   3.4E-­‐09   1.4E-­‐14   2.2E-­‐14   6.5E-­‐29   8.5E-­‐07   1.6E-­‐07   5.1E-­‐02   7.3E-­‐24   1.8E-­‐25   9.8E-­‐15   1.1E-­‐15   8.2E-­‐27   1.5E-­‐09   6.3E-­‐13   2.9E-­‐13   4.1E-­‐28   2.8E-­‐06   4.8E-­‐09   1.4E-­‐01   5.2E-­‐24   3.6E-­‐25   4.0E-­‐17   3.9E-­‐18   2.5E-­‐24   1.5E-­‐10   2.2E-­‐19   4.1E-­‐20   6.0E-­‐30   1.5E-­‐08   1.0E-­‐05   2.9E-­‐01   5.1E-­‐17   1.4E-­‐18   1.2E-­‐11   3.0E-­‐12   5.1E-­‐17   2.6E-­‐08   1.5E-­‐12   1.6E-­‐13   4.3E-­‐19   3.0E-­‐07   3.4E-­‐10   7.6E-­‐02   2.2E-­‐36   3.7E-­‐36   5.9E-­‐20   2.5E-­‐21   4.3E-­‐39   5.2E-­‐13   4.7E-­‐18   2.8E-­‐18   5.4E-­‐43   1.3E-­‐09   1.6E-­‐06   7.1E-­‐02   2.4E-­‐08   1.9E-­‐08   7.7E-­‐09   3.8E-­‐11   7.1E-­‐09   2.8E-­‐13   2.7E-­‐14   2.2E-­‐17   8.2E-­‐14   4.9E-­‐17   2.2E-­‐06   5.3E-­‐01   7.9E-­‐09   4.4E-­‐09   5.4E-­‐09   2.0E-­‐09   3.8E-­‐09   2.9E-­‐07   1.9E-­‐17   7.7E-­‐18   2.7E-­‐14   1.3E-­‐07   4.3E-­‐07   6.4E-­‐01   1.6E-­‐09   3.1E-­‐10   2.7E-­‐09   6.6E-­‐10   2.3E-­‐10   1.9E-­‐08   1.2E-­‐17   7.1E-­‐19   6.7E-­‐16   2.1E-­‐08   8.5E-­‐11   2.1E-­‐02   1.1E-­‐25   1.1E-­‐25   1.8E-­‐21   8.4E-­‐23   3.5E-­‐33   7.6E-­‐16   1.7E-­‐24   2.7E-­‐24   1.7E-­‐44   3.2E-­‐13   1.2E-­‐05   3.6E-­‐02   2.2E-­‐06   1.6E-­‐06   4.2E-­‐09   3.0E-­‐10   7.6E-­‐08   1.1E-­‐13   2.1E-­‐14   2.4E-­‐15   9.6E-­‐13   1.7E-­‐18   BOY   NWF-­‐ CLS   NWF-­‐ WWR   NWF-­‐ CLS   NWF-­‐ WWR   MOY   ORF-­‐ WRC   ORF-­‐A   EOY   PSF   MOY   NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   ORF-­‐A   Table 2: Statistical significance (p-values) of the correlation between all DIBELS and all IDAPEL measures S.Capmartin_NCDLI 2019 Ø PSF DIBELS as the least strong relationships with other IDAPEL measures p-value > 0.1 (except when correlated to the PSF IDAPEL measure) DIBELS   BOY   LNF   IDAPEL   BOY        NWF-­‐ CLS   NWF-­‐ WWR    NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   EOY   ORF-­‐A      NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   ORF-­‐A   LNF   2.9E-­‐12   3.3E-­‐02   2.1E-­‐10   4.9E-­‐09   1.4E-­‐07   8.9E-­‐08   1.9E-­‐09   1.7E-­‐07   1.9E-­‐13   3.6E-­‐13   5.1E-­‐11   1.1E-­‐05   PSF   2.9E-­‐02   3.1E-­‐08   1.5E-­‐01   4.5E-­‐01   2.9E-­‐02   3.8E-­‐02   3.1E-­‐01   1.5E-­‐01   3.2E-­‐03   4.1E-­‐03   1.5E-­‐01   1.2E-­‐02   1.8E-­‐08   1.1E-­‐02   4.5E-­‐30   1.2E-­‐28   3.4E-­‐17   9.4E-­‐18   2.8E-­‐29   3.4E-­‐09   1.4E-­‐14   2.2E-­‐14   6.5E-­‐29   8.5E-­‐07   1.6E-­‐07   5.1E-­‐02   7.3E-­‐24   1.8E-­‐25   9.8E-­‐15   1.1E-­‐15   8.2E-­‐27   1.5E-­‐09   6.3E-­‐13   2.9E-­‐13   4.1E-­‐28   2.8E-­‐06   4.8E-­‐09   1.4E-­‐01   5.2E-­‐24   3.6E-­‐25   4.0E-­‐17   3.9E-­‐18   2.5E-­‐24   1.5E-­‐10   2.2E-­‐19   4.1E-­‐20   6.0E-­‐30   1.5E-­‐08   1.0E-­‐05   2.9E-­‐01   5.1E-­‐17   1.4E-­‐18   1.2E-­‐11   3.0E-­‐12   5.1E-­‐17   2.6E-­‐08   1.5E-­‐12   1.6E-­‐13   4.3E-­‐19   3.0E-­‐07   3.4E-­‐10   7.6E-­‐02   2.2E-­‐36   3.7E-­‐36   5.9E-­‐20   2.5E-­‐21   4.3E-­‐39   5.2E-­‐13   4.7E-­‐18   2.8E-­‐18   5.4E-­‐43   1.3E-­‐09   1.6E-­‐06   7.1E-­‐02   2.4E-­‐08   1.9E-­‐08   7.7E-­‐09   3.8E-­‐11   7.1E-­‐09   2.8E-­‐13   2.7E-­‐14   2.2E-­‐17   8.2E-­‐14   4.9E-­‐17   2.2E-­‐06   5.3E-­‐01   7.9E-­‐09   4.4E-­‐09   5.4E-­‐09   2.0E-­‐09   3.8E-­‐09   2.9E-­‐07   1.9E-­‐17   7.7E-­‐18   2.7E-­‐14   1.3E-­‐07   4.3E-­‐07   6.4E-­‐01   1.6E-­‐09   3.1E-­‐10   2.7E-­‐09   6.6E-­‐10   2.3E-­‐10   1.9E-­‐08   1.2E-­‐17   7.1E-­‐19   6.7E-­‐16   2.1E-­‐08   8.5E-­‐11   2.1E-­‐02   1.1E-­‐25   1.1E-­‐25   1.8E-­‐21   8.4E-­‐23   3.5E-­‐33   7.6E-­‐16   1.7E-­‐24   2.7E-­‐24   1.7E-­‐44   3.2E-­‐13   1.2E-­‐05   3.6E-­‐02   2.2E-­‐06   1.6E-­‐06   4.2E-­‐09   3.0E-­‐10   7.6E-­‐08   1.1E-­‐13   2.1E-­‐14   2.4E-­‐15   9.6E-­‐13   1.7E-­‐18   NWF-­‐ CLS   NWF-­‐ WWR   NWF-­‐ CLS   NWF-­‐ WWR   MOY   ORF-­‐ WRC   ORF-­‐A   EOY   PSF   MOY   NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   ORF-­‐A   Table 2: Statistical significance (p-values) of the correlation between all DIBELS and all IDAPEL measures S.Capmartin_NCDLI 2019 Ø PSF IDAPEL as the least strong relationships with other DIBELS measures p-value > 0.1 (except when correlated to the PSF and EOY NWF measures) DIBELS   BOY   LNF   IDAPEL   BOY        NWF-­‐ CLS   NWF-­‐ WWR    NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   EOY   ORF-­‐A      NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   ORF-­‐A   LNF   2.9E-­‐12   3.3E-­‐02   2.1E-­‐10   4.9E-­‐09   1.4E-­‐07   8.9E-­‐08   1.9E-­‐09   1.7E-­‐07   1.9E-­‐13   3.6E-­‐13   5.1E-­‐11   1.1E-­‐05   PSF   2.9E-­‐02   3.1E-­‐08   1.5E-­‐01   4.5E-­‐01   2.9E-­‐02   3.8E-­‐02   3.1E-­‐01   1.5E-­‐01   3.2E-­‐03   4.1E-­‐03   1.5E-­‐01   1.2E-­‐02   1.8E-­‐08   1.1E-­‐02   4.5E-­‐30   1.2E-­‐28   3.4E-­‐17   9.4E-­‐18   2.8E-­‐29   3.4E-­‐09   1.4E-­‐14   2.2E-­‐14   6.5E-­‐29   8.5E-­‐07   1.6E-­‐07   5.1E-­‐02   7.3E-­‐24   1.8E-­‐25   9.8E-­‐15   1.1E-­‐15   8.2E-­‐27   1.5E-­‐09   6.3E-­‐13   2.9E-­‐13   4.1E-­‐28   2.8E-­‐06   4.8E-­‐09   1.4E-­‐01   5.2E-­‐24   3.6E-­‐25   4.0E-­‐17   3.9E-­‐18   2.5E-­‐24   1.5E-­‐10   2.2E-­‐19   4.1E-­‐20   6.0E-­‐30   1.5E-­‐08   1.0E-­‐05   2.9E-­‐01   5.1E-­‐17   1.4E-­‐18   1.2E-­‐11   3.0E-­‐12   5.1E-­‐17   2.6E-­‐08   1.5E-­‐12   1.6E-­‐13   4.3E-­‐19   3.0E-­‐07   3.4E-­‐10   7.6E-­‐02   2.2E-­‐36   3.7E-­‐36   5.9E-­‐20   2.5E-­‐21   4.3E-­‐39   5.2E-­‐13   4.7E-­‐18   2.8E-­‐18   5.4E-­‐43   1.3E-­‐09   1.6E-­‐06   7.1E-­‐02   2.4E-­‐08   1.9E-­‐08   7.7E-­‐09   3.8E-­‐11   7.1E-­‐09   2.8E-­‐13   2.7E-­‐14   2.2E-­‐17   8.2E-­‐14   4.9E-­‐17   2.2E-­‐06   5.3E-­‐01   7.9E-­‐09   4.4E-­‐09   5.4E-­‐09   2.0E-­‐09   3.8E-­‐09   2.9E-­‐07   1.9E-­‐17   7.7E-­‐18   2.7E-­‐14   1.3E-­‐07   4.3E-­‐07   6.4E-­‐01   1.6E-­‐09   3.1E-­‐10   2.7E-­‐09   6.6E-­‐10   2.3E-­‐10   1.9E-­‐08   1.2E-­‐17   7.1E-­‐19   6.7E-­‐16   2.1E-­‐08   8.5E-­‐11   2.1E-­‐02   1.1E-­‐25   1.1E-­‐25   1.8E-­‐21   8.4E-­‐23   3.5E-­‐33   7.6E-­‐16   1.7E-­‐24   2.7E-­‐24   1.7E-­‐44   3.2E-­‐13   1.2E-­‐05   3.6E-­‐02   2.2E-­‐06   1.6E-­‐06   4.2E-­‐09   3.0E-­‐10   7.6E-­‐08   1.1E-­‐13   2.1E-­‐14   2.4E-­‐15   9.6E-­‐13   1.7E-­‐18   NWF-­‐ CLS   NWF-­‐ WWR   NWF-­‐ CLS   NWF-­‐ WWR   MOY   ORF-­‐ WRC   ORF-­‐A   EOY   PSF   MOY   NWF-­‐ CLS   NWF-­‐ WWR   ORF-­‐ WRC   ORF-­‐A   Table 2: Statistical significance (p-values) of the correlation between all DIBELS and all IDAPEL measures S.Capmartin_NCDLI 2019 BOY   LNF   P  (boy  vs  girl)   PSF        NWF-­‐ CLS   MOY   NWF-­‐ NWF-­‐  NWF-­‐CLS   ORF-­‐WRC   ORF-­‐A   WWR   WWR   EOY      NWF-­‐ CLS   NWF-­‐ ORF-­‐WRC   ORF-­‐A   WWR   8.2E-­‐01   8.7E-­‐01   7.0E-­‐01   7.3E-­‐01   4.3E-­‐01   4.9E-­‐01   9.3E-­‐01   7.1E-­‐01   9.6E-­‐01   7.5E-­‐01   7.7E-­‐01   7.5E-­‐02   Ø Non-significant relationship when comparing genders p > 0.1 for most measures p > 0.01 for all measures S.Capmartin_NCDLI 2019 BOY   LNF   P  (boy  vs  girl)   PSF        NWF-­‐ CLS   MOY   NWF-­‐ NWF-­‐  NWF-­‐CLS   ORF-­‐WRC   ORF-­‐A   WWR   WWR   EOY      NWF-­‐ CLS   NWF-­‐ ORF-­‐WRC   ORF-­‐A   WWR   8.2E-­‐01   8.7E-­‐01   7.0E-­‐01   7.3E-­‐01   4.3E-­‐01   4.9E-­‐01   9.3E-­‐01   7.1E-­‐01   9.6E-­‐01   7.5E-­‐01   7.7E-­‐01   7.5E-­‐02   Ø Non-significant relationship when comparing genders p > 0.1 for most measures BOY   LNF   P  (white/black)   PSF        NWF-­‐ CLS   MOY   NWF-­‐ NWF-­‐  NWF-­‐CLS   ORF-­‐WRC   ORF-­‐A   WWR   WWR   EOY      NWF-­‐ CLS   NWF-­‐ ORF-­‐WRC   ORF-­‐A   WWR   2.1E-­‐01   8.9E-­‐01   3.9E-­‐01   6.9E-­‐01   7.5E-­‐01   8.9E-­‐01   2.7E-­‐01   7.0E-­‐01   9.1E-­‐01   9.3E-­‐01   2.7E-­‐01   6.5E-­‐01   P  (white/hispanic   2.4E-­‐01   9.4E-­‐01   1.0E-­‐01   4.2E-­‐01   3.5E-­‐01   5.8E-­‐01   6.3E-­‐01   7.8E-­‐01   9.2E-­‐01   6.9E-­‐01   9.0E-­‐01   5.4E-­‐01   P  (black/hispanic)   9.6E-­‐02   8.7E-­‐01   5.3E-­‐02   2.3E-­‐01   4.8E-­‐01   6.9E-­‐01   2.6E-­‐01   9.6E-­‐01   9.7E-­‐01   7.8E-­‐01   4.6E-­‐01   4.6E-­‐01   Ø Non-significant relationship when comparing races p > 0.1 for most measures S.Capmartin_NCDLI 2019 ü Strong correlation between the two assessments ü Especially strong relationship between all ORF measures > De Ramirez and Shapiro (2007) for Spanish/English ORF > Pasquarella and al. (2015) for English/Chinese ORF ü Particularly strong relationship between DIBELS NWF in the beginning of the year and IDAPEL ORF in the middle and end of the year > Comeau, Cormier, Grandmaison, and Lacroix (1999) > Haigh, Savagem Erdos, and Genesee (2011) > Wise, D’Angelo, and Chen (2015) S.Capmartin_NCDLI 2019 Practical implications of this study: ü Redundancy of conducting both tests to assess ORF ü Redundancy of conducting both tests to assess NWF ü Valuable input for PSF Limitations: ü Not enough data to measure the statistical significance of RF > further research to assess cross-language transfer for reading comprehension ü Data limited to first grade measures > would similar correlations be observed in other grade levels? ü DIBELS measures S.Capmartin_NCDLI 2019 ü Instead of doubling testing > spending more time on differentiated instruction and/or targeted interventions ü Benefits of receiving intervention in two languages ü Importance of creating efficient tools for targeted intervention in an immersion setting S.Capmartin_NCDLI 2019 Merci Questions/Feedback: scapmart@tulane.edu sophie.camartin@ebnola.com S.Capmartin_NCDLI 2019