Hacettepe Üniversitesi Eğitim Fakültesi Dergisi (H. U. Journal of Education) ??: SS-SS [201?]
doi: 10.16986/HUJE.2018046755 [Araştırma Makalesi / Research Article]
The Effect of Flipped Learning Approach on Academic Achievement:
A Meta-Analysis Study*
Ters-Yüz Edilmiş Öğrenme Yaklaşımının Akademik Başarıya Etkisi:
Bir Meta-Analiz Çalışması
İbrahim KARAGÖL**, Emrullah ESEN***
Received: 11.06.2018 Accepted: 21.12.2018 Published: 24.12.2018
Kaynakça Bilgisi: Karagöl, İ., & Esen, E. (2018). Ters-yüz edilmiş öğrenme yaklaşımının akademik başarıya etkisi:
Bir meta-analiz çalışması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi. Advance online publication. doi:
10.16986/HUJE.2018046755
Citation Information: Karagöl, İ., & Esen, E. (2018). The effect of flipped learning approach on academic
achievement: A meta-analysis study. Hacettepe University Journal of Education. Advance online publication. doi:
10.16986/HUJE.2018046755
ABSTRACT: This study aims to examine the effect of the flipped learning approach on academic achievement
through meta-analysis method. The study consists of the published articles in scientific journals, master's and doctoral
theses which have the necessary statistical data. The studies were obtained from various databases such as
“EBSCOhost, ProQuest, JSTOR, Google Scholar, Turkish Academic Network and Information Center (TUBITAK
ULAKBIM) Social Sciences Database, Turkish Council of Higher Education National Thesis Center and ERIC” by
using keywords such as “flipped classroom”, “flipped learning”, “academic achievement”. Within the scope of
inclusion criteria, 55 studies were obtained. The data set was determined as 80 since the effect of the flipped learning
approach on academic achievement was analysed separately for each course in some studies. The results of the study
reveal that there is a positive effect of the flipped learning approach on academic achievement compared to traditional
learning approach. Besides, there is not a significant difference according to the implementation period. The effect of
flipped learning on academic achievement is higher in small groups, and there is a significant difference between the
groups according to being national/international.
Keywords: Flipped classroom, flipped learning, meta-analysis, academic achievement
ÖZ: Bu araştırmada ters-yüz edilmiş öğrenme yaklaşımının akademik başarıya etkisinin meta-analiz yöntemiyle
incelemesi amaçlanmıştır. Bu amaç doğrultusunda “ters-yüz edilmiş öğretim”, “ters-yüz edilmiş öğrenme”,
“akademik başarı” gibi anahtar kelimeler kullanılarak EBSCOhost, ProQuest, JSTOR, Google Akademik, TÜBİTAK
ULAKBİM Sosyal Bilimler Veri Tabanı, YÖK Tez ve ERIC arama motorları aracılığıyla ilgili tez ve makaleler elde
edilmiştir. Dahil edilme ölçütleri kapsamında 55 çalışmaya ulaşılmıştır. Bazı çalışmalarda ters-yüz edilmiş öğrenme
yaklaşımının akademik başarıya etkisi her bir ders için ayrı ayrı hesaplandığı için veri seti 80 olarak belirlenmiştir.
Araştırmanın sonuçlarına göre, ters-yüz edilmiş öğrenme yaklaşımının akademik başarı üzerinde pozitif yönde bir
etkisi olduğu; ters-yüz edilmiş öğrenme yaklaşımının akademik başarı üzerindeki etkisinin uygulama süresine göre
değişmediği; ters-yüz edilmiş öğrenme yaklaşımının akademik başarı üzerindeki etkisinin küçük gruplarda daha
yüksek olduğu ve çalışmaların ulusal/uluslararası olma durumuna göre gruplar arasında anlamlı bir farklılık olduğu
sonuçlarına ulaşılmıştır.
Anahtar Sözcükler: Ters-yüz edilmiş sınıf, ters-yüz edilmiş öğrenme, meta-analiz, akademik başarı
*
This study was presented orally at 5th International Eurasian Educational Research Congress between 2-5 of May,
2018 in Antalya.
**
Res. Assist., Anadolu University, Faculty of Education, Department of Educational Sciences, Division of
Curriculum and Instruction, Eskişehir-TURKEY. e-mail: karagolibrahim@gmail.com (ORCID: 0000-0002-70057710)
***
Res. Assist., Anadolu University, Faculty of Education, Department of Educational Sciences, Division of
Curriculum and Instruction, Eskişehir-TURKEY. e-mail: emrullahesen@anadolu.edu.tr (ORCID: 0000-0002-73014986)
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İbrahim Karagöl, Emrullah Esen
1. INTRODUCTION
Today, with the scientific and technological advancement, teaching and learning
environments have started to change and evolve. Notably, the increasing use of smart devices
and the internet have accelerated the integration of multi-media tools in educational
environments. In line with technology and science, changing needs of learners, differentiation in
instructional designs and growing opportunities form a basis for new teaching approaches to
putting into practice. Flipped learning (or inverted), one of these approaches, has emerged as a
new alternative to the traditional learning environment. Flipped learning is defined as a
pedagogical approach that direct instruction moves out of the class via technology and internet
(e.g. videos, podcasts, online blogs or available online materials.) while in-class time includes
practice and collaborative activities which promote active learning (Abeysekera & Dawson,
2015; Arnold-Garza, 2014; Bergmans & Sams, 2012; Bishop & Vergler, 2013; Enfield, 2013).
Similarly, Lage, Platt & Treglia (2000) defines flipped learning as “inverting the classroom
means that have traditionally taken place inside the classroom now take place outside the
classroom and vice versa” (p. 32).
The origin of the flipped learning refers to Jonathan Bergmann & Aaron Sams, two
chemistry teachers from Colorado, who used recorded lectures to provide instruction to
secondary students who were missing classes (Bergman & Sams, 2012). There is no single form
for flipped learning, but the term generally refers to a class design which provides pre-recorded
lectures followed by in-class practice as a standard model that student gets exposed to five to
seven minutes of lectures and do online quizzes and activities to test themselves before coming
to the class (Educause, 2012). By moving the lecture time out of the class, class-time is freed for
hands-on learning, individualised instruction, group collaboration and a remedial session with
the teacher (Webb & Doman, 2016). Students work on activities and put their knowledge into
practice (Salimi & Yousefzadeh, 2015). In the flipped learning approach, teachers might use
“just-in-time teaching” to adjust their instruction according to web-based quizzes and questions
that are done by students before class (Berett, 2012). With all these features, teachers and
students collaborate in order to master the topic, concepts, and other areas of learner weakness
(Harris, Harris, Reed & Zelihic, 2016).
The flipped learning model is generally categorised under the concept of hybrid or
blended learning, which utilises problem-based and active learning techniques and new
technologies to engage students (Arnold-Gaza, 2014). For example, Staker & Horn (2012)
categorise flipped learning model under rotation models in blended learning models. According
to the flipped learning rotation model, “in a course or a subject (e.g. Math), students rotate on a
fixed schedule between face-to-face teacher-guided practice on a school day and online delivery
of content of the same subject from a remote location (often home) after school.” (p, 10).
Teaching in flipped learning approach requires students to make pre-class preparation by
watching recorded lectures, while in-class time spared for discussion, problem-solving activities
and group-based activities related to the topic (Tune, Sturek & Basil, 2013; Pierce & Fox,
2012). The activities, such as group-based and problem-based activities, used in flipped
classroom model are generally related to active learning which is considered to stem from
constructivism (Abeysekera & Dawson, 2015; Arnold-Gaza, 2014; Bishop & Vergleher, 2013).
It uniquely combines two incompatible learning theories by adopting active and problem-based
learning activities founded on constructivism and instructional lectures which stem from the
direct instruction method founded on the behaviourist approach (Bishop & Vergleher, 2013).
Beside inverting instruction time and instruction tools, the flipped learning approach has
changed the role of teachers and students (Educause, 2012; Harris et al., 2016). In a traditional
classroom setting, teachers are considered as “sage on the stage” (Baker, 2000) who transmit
knowledge and students are passive listeners whereas in a flipped classroom teacher serve as
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The Effect of Flipped Learning Approach on Academic Achievement: A Meta-Analysis Study
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coaches, guides on the sides or subject matter experts contributing the learning process by
collaborating with students (Educause, 2012; Harris et. al. 2016). In a traditional classroom
environment, students must follow what is being said by the teacher (Zhonggen & Wang, 2016).
They focus on the delivery of the teacher and cannot stop reflect upon what the teacher says and
may miss the significant points while trying to transcribe the words (Educause, 2012).
According to Sankoff (2014) traditional lectures often lead waste of precious resources and fail
to make use of instructors’ experience, knowledge, and abilities by making him deliver the same
information to the different groups. In such traditional environments, students often shy away
from speaking up and asking for clarification while teachers are expected to fill students with
knowledge (Harris et al., 2016). Other from that, teachers can not explore the deficiencies of
students until the assignment is handed out, or the assessment is done (Dove & Dove, 2015).
On the other hand, flipped learning approach is reported to have many advantages for
students and teachers in the literature. Fulton (2012) listed advantages of flipped learning as; (1)
students learn at their own pace and style, (2) allows efficient use of class time, (3) allows group
discussion and peer instruction, (4) motivates teachers for professional development. Besides,
as related studies suggest, flipped classroom gives more responsibility to students for learning
(Educause, 2012), which increases in the awareness of metacognition (Yıldız & Kıyıcı, 2016).
In addition, flipped learning approach is found to increase the motivation level of the students
(Bhagat, Chang & Chang, 2016; Chao, Chen & Chuang, 2015), their self-efficacy (Kurt, 2017;
Thai, Wever & Valcke, 2017), conceptual understanding (Olakanmi, 2017), attitudes towards
learning (Chao, Chang & Chuang, 2015). In a flipped learning environment, the students turn
into an active learner who participates in higher-level critical thinking, interactive and problemsolving activities and engage deep learning by using metacognition (Brame, 2013; Sharpe,
2016). For instance, in a study done by Tarazi (2016) students exposed to inverted teaching
engaged in deep learning and showed a higher level of motivation. As another advantage, in a
flipped context, students engage the lower level of cognitive work outside the classroom, and
the higher level of cognitive work in the classroom (Sharpe, 2016), “where they have the
support of the peers and instructors” (Brame, 2013, p. 1).
Concerning academic achievement, the flipped learning approach and traditional learning
approach have been subject to many types of research. Based on the post-test scores, while
some research suggests there is a meaningful difference in favour of flipped learning (Aljeser,
2007; Aydın, 2016; Sickle, 2016; Sun & Wu, 2016; Turan, 2015; Webb & Doman, 2016; Salimi
& Yousefzadeh, 2015; Zhonggen & Wang, 2016), some others say that there is no significant
difference between flipped and traditional approach (Bishop, 2013; Brooks, 2014; Cashin, 2016;
Clark, 2013; Crowford, 2017; Dixon, 2017; Faretta, 2016; Fraga & Harmon, 2017; Howell,
2013; Johnson, 2012; Montgomery, 2015; Overmyer, 2014; Saunders, 2014; Sharpe, 2016;
Smith, 2016; Winter, 2013; Yavuz, 2016). In other words, all these studies suggest that there is
no consensus on whether the flipped learning approach is significantly effective or not over the
traditional approach. Either complex nature of social sciences and educational research or the
presence of many threats, which are hard to remove and affect the internal validity of the
experimental studies, might be the reasons for this contradiction (Üstün & Eryılmaz, 2014).
Besides, Davies (2000) suggests that a single experiment has situation-specific limitations such
as time, sample and context. In this regard, meta-analysis studies, which are utilised to bring
together the findings of different research results on the same topic coherently and consistently
to expand the sample and obtain reliable results, are seen crucial (Cohen, Manion & Morison,
2011; Dempfle, 2006; Petiti, 2000).
In the literature review, there is only one meta-analysis study regarding the flipped
learning approach and academic achievement (Hew & Lo, 2018). In their meta-analysis study,
Hew & Lo (2018) focused on 28 studies, published between the years of 2012 and 2017,
regarding the flipped learning approach and health care professional learners’ achievement. The
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researchers found out that the flipped learning approach has a significant effect on student
achievement. Nevertheless, the study conducted by Hew and Lo (2018) differs from our study in
terms of scope, moderator variables, and inclusion criteria. In their study, Hew and Lo (2018)
included studies conducted with health professionals (medical students or learners) and
examined 28 studies in terms of a) student initial equivalence, b) instructor equivalence, c)
research design, d) types of students; e) pre-class component of flipped classroom and f) inclass component of flipped classroom. In our study, the moderator variables determined as; a)
educational level, b) implementation period, c) sample size, d) practitioner and e) being national
or international. For these reasons, it is considered a need to conduct a meta-analysis including
national and international studies in order to reveal the effect of the flipped learning approach
regarding the mentioned moderator variables on academic achievement. By bringing together
the findings of the studies conducted with different groups, durations, implementors, places, and
sample sizes, this study is expected to contribute to the literature by producing scientific proof
concerning the effect of flipped learning approach on academic achievement.
Consequently, the purpose of this research is to find out the effect of the flipped learning
approach on students’ academic achievement in comparison to traditional learning approach by
using meta-analysis method. Thus, the current study is seeking the answers to the following
questions:
1) What is the effect of the flipped learning approach on students’ academic achievement?
2) Does the effect of the flipped learning approach on academic achievement differ
according to educational level?
3) Does the effect of the flipped learning approach on academic achievement differ
according to the implementation period?
4) Does the effect of the flipped learning approach on academic achievement differ
according to sample size?
5) Does the effect of the flipped learning approach on academic achievement differ
according to the practitioner?
6) Does the effect of the flipped learning approach on academic achievement differ
according to being national/international?
2. METHOD
2.1. Research Model
A meta-analysis method was used to examine the effect of the flipped learning approach
on academic achievement in this study. Meta-analysis, which is the analysis of other analyses
(Cohen et al., 2007), is a statistical method used to gather the findings of different researches on
the same topic and to obtain more accurate and reliable results by expanding the sample
(Dempfle, 2006; Petitti, 2000).
2.2. Data Collection
The studies included in this meta-analysis consist of the published articles in scientific journals,
master's and doctoral theses which have the necessary statistical data. The studies were obtained
from various databases such as “EBSCOhost, ProQuest, JSTOR, Google Scholar, ERIC,
Turkish Academic Network and Information Center (TUBITAK ULAKBIM) Social Sciences
Database and Turkish Council of Higher Education National Thesis Center” by using keywords
such as “flipped classroom, flipped learning, academic achievement” and their Turkish
equivalents. First of all, the abstract sections of the studies were read, and the same copies were
eliminated. After the first phase, 365 studies were taken to be analysed. Four thesis could not be
reached due to the restrictions on them. Articles and thesis which are not suitable for the
research problem (n=258), and do not meet the inclusion criteria (n=51) were eliminated. If the
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same study is published both as a thesis and an article, only the theses are taken into the scope
of the study (n=1) since they contain more detailed information compared to the articles. Thus,
there are 55 studies remained. The data set was determined as 80 since the effect of the flipped
learning approach on academic achievement were analysed separately for each course in some
studies. For instance, in their study, Salimi & Yousefzadeh (2015) analysed the effect of the
flipped learning approach on English, Arabic, math, science and geography class separately.
Therefore, there are five different effect sizes in a single study. A diagram showing the process
of the literature review is shown below.
Figure 1: Diagram showing the process of literature review
2.2.1. Inclusion criteria
The following criteria were taken into consideration for the studies included in this study:
Studies should be the published articles in scientific journals, master's or doctoral theses
which are written either in English or Turkish.
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Studies should be designed as experimental models.
The participants in the experimental group should be applied flipped learning approach,
whereas the participants in the control group should be applied traditional learning
approach.
Standard deviations, arithmetic means, and the number of participants regarding the
control and the experimental groups should be identified.
2.3. Coding of Data
In the process of coding data, a coding form was developed by the researchers in order to
determine whether or not the studies conform to the meta-analysis inclusion criteria and to make
comparisons between studies. The coding form includes the name of the study, the location of
the study, application period of the study, practitioners who conducted the application, sample
size, standard deviations, arithmetic means, and the number of the participants regarding the
control and the experimental groups. Coding of data was carried out by the researchers
independently. Besides, randomly selected 11 studies were asked to be coded by another
research assistant who was continuing his PhD in educational sciences. The reliability
coefficient among the coders was calculated by using Miles and Huberman's (1994) reliability
formula. As a result of the calculations, the reliability coefficient between the first researcher
and the research assistant was found as 93%, the reliability coefficient between the second
researcher and the research assistant was found as 92% and the reliability coefficient between
the researchers was found as 99%. According to Miles and Huberman’s (1994) reliability
formula, the present study was reliable since the reliability coefficients were more than 70%.
The content which the coders had not agreed on was then discussed till they reached an
agreement.
2.4. Data Analysis
In the study, the effect sizes of all studies and the common effect size were calculated
using Comprehensive Meta-Analysis (CMA 2.2) statistical package program. Specific
classifications are used when interpreting the effect sizes obtained from the meta-analysis.
According to Cohen et al. (2007, p. 521), the classification of effect size is as follows:
•
0–0.20
= weak effect
• 0.21–0.50
= modest effect
• 0.51–1.00
= moderate effect
•
= strong effect
>1.00
Before calculating the effect sizes in the meta-analysis, it is decided whether to use a
fixed effects model or random effects model. In the fixed effects model, it is assumed that all
the factors that influence the effect size are the same in all studies (Borenstein, Hedges, Higgins
& Rothstein, 2013). However, in the random effects model, it is assumed that the effect sizes
differ from study to study (Ellis, 2010). Which of these models to be used in the meta-analysis
is decided by determining whether the effect sizes are homogeneous or not (Pigott, 2012). If the
effect sizes are distributed homogeneously, the fixed effects model is used; if the effect sizes are
heterogeneously distributed, then the random effects model is used (Borenstein, Hedges,
Higgins & Rothstein, 2009).
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3. FINDINGS
3.1. Findings Regarding the Research Question: “What is the effect of the flipped
learning approach on students’ academic achievement?”
In order to calculate the effect sizes of the studies, the effect model to be used should be
determined. First, homogeneity of the studies should be tested with a fixed effects model.
Findings regarding the homogeneity of the studies with fixed effects model and the overall
effect size are given in Table 1 below.
Table 1: Findings regarding the effect size according to the fixed effects model
ES
.406
(df)
79
X2
100.749
Qb
434.834
SE
.029
Effect size at 95%
Confidence Interval
I2
ESMin
ESMax
81.832 .350
.462
Homogeneity value of the studies included in the study was found as Q = 434.834
according to the fixed effects model. The critical value obtained from the chi-square table at
95% significant level with 79 degrees of freedom is 100.749. Q statistical value was found to
exceed the critical value of the chi-square distribution with 79 degrees of freedom (for df=79,
X2 (0.95) = 100.749). Accordingly, it shows that the study has a heterogeneous distribution.
Similarly, a high I2 value indicates that the distribution is heterogeneous. Therefore, it is not
possible that there is only one true effect underlying the value of effect size. In this case, the
random effects model was preferred to be used in the study by the researchers.
Table 2: Findings regarding the effect size according to the random effects model
ES
.566
n
80
SE
.071
Z
8.017
p
.000
Effect size at 95%
Confidence Interval
ESMin
ESMax
.428
.705
According to the results of the analysis through random effects model, the effect sizes of
the studies were found as .428 for the lower limit of the 95% confidence interval, .705 for the
upper limit of the 95% confidence interval and .566 for the average value of the effect size.
According to Cohen et al. (2007), this value has a moderate effect. Besides, a positive value of
the effect size indicates that the implication effect is in favour of the experimental group.
Therefore, the effect of the flipped learning approach on academic achievement is more
effective than the traditional learning approach.
The forest plot of the studies demonstrating the distribution of effect size values
calculated by the random effects model is shown in Figure 2.
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İbrahim Karagöl, Emrullah Esen
Figure 2: Forest plot demonstrating the distribution of effect size values
In the forest plot, black squares show the effect size of the study and the horizontal lines
passing through the squares indicate the confidence interval for the study. The longer the
horizontal line, the larger the confidence interval. According to the forest plot, while the largest
confidence interval belongs to Topalak (2016), the smallest belongs to Overmyer (2014). The
other studies have similar values of weight percentages in this analysis.
The diamond shape at the end of the plot shows the overall effect size for all studies.
The vertical line at an effect size=0 shows the line of no effect (Akobeng, 2005; Ried, 2006). If
the shape is not on the line of no effect, it means there is a significant difference between the
two groups. If an effect size is found to be positive, it means that the performance is in favour of
the experimental group (Wolf, 1986, p. 26). According to forest plot, the smallest effect size
value is -2.314 and the highest effect size value is 7.824. While 67 studies have positive effect
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sizes, 13 studies have negative effect sizes. Consequently, the flipped learning approach
implemented in 67 studies has a significant effect in favour of the experimental group.
One of the most significant problems in meta-analysis studies is that the studies included
in the meta-analysis may be biased (Sarıer, 2016). To demonstrate that there is no publication
bias, it must be calculated that how many missing studies should be included in the analysis to
make the effect size statistically insignificant (Borenstein et al., 2009). "Classic Fail-Safe N"
analysis was conducted to investigate publication bias in the study. The results of the analysis
are shown in Table 3 below.
Table 3. Classic Fail-Safe N Analysis
z value
p value
Alpha
Z for alpha
N
p>number of missing studies
16.63
.00
.05
1.96
80
5783
As shown in Table 3, the p value is smaller than the alpha value, which is regarded as a
demonstration that the study is reliable (Borenstein et al., 2013). According to the classic failsafe N analysis, the number of missing studies that would bring p value to >alpha=0.05 is 5783.
Given a large number of studies, the analysis results are reliable and there is no publication bias.
In addition to this analysis, it can be interpreted whether or not there is publication bias using
the Funnel Plot given in Figure 3.
Funnel Plot of Standard Error by Hedges's g
0,0
Standard Error
0,2
0,4
0,6
0,8
1,0
-8
-7
-6
-5
-4
-3
-2
-1
0
1
2
3
4
5
6
7
8
Hedges's g
Figure 3: Funnel plot demonstrating the effect size of the studies
Figure 3 shows the distribution of the studies included in the study. As the graph shows,
the studies seem symmetrical, and there is no asymmetric distribution which means there is no
publication bias. Because, in cases where there is publication bias, the distribution is
asymmetric and skewed in the funnel graph (Üstün & Eryılmaz, 2014).
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3.2. Findings Regarding the Research Question: “Does the effect of the flipped
learning approach on academic achievement differ according to educational
level?”
Findings regarding whether the effect size differs according to educational level are
shown in Table 4.
Table 4: Findings regarding the effect size according to educational level
Variable
QB
p
Educational Level
Elementary School
High School
University
1.100
.577
n
ES
Effect Size at 95%
Confidence Interval
ESMin
SE
ESMax
15
21
44
.653
.448
.594
.345
.176
.401
.157
.139
.098
.961
.721
.786
It is found that critical value obtained from the chi-square table at 95% significant level
with two degrees of freedom is 5.991. The homogeneity value among the groups according to
educational level is (QB) 1.100. Since Q value is smaller than the critical value obtained from
the chi-square table at 95% significant level with two degrees of freedom, there is not a
statistically significant difference among the groups according to educational level.
3.3. Findings Regarding the Research Question: “Does the effect of the flipped
learning approach on academic achievement differ according to the
implementation period?”
Findings regarding whether the effect size differs according to the implementation period
are shown in Table 5.
Table 5: Findings regarding the effect size according to the implementation period
Variable
QB
p
Implementation Period
1-4 weeks
5-8 weeks
9 or more weeks
Unspecified
2.206
.531
n
ES
Effect Size at 95%
Confidence Interval
ESMin
SE
ESMax
14
38
20
8
.692
.582
.410
.707
.360
.371
.135
.268
.170
.108
.140
.224
1.024
.793
.685
1.146
It is found that critical value obtained from the chi-square table at 95% significant level
with three degrees of freedom is 7.815. The homogeneity value among the groups according to
the implementation period is (QB) 2.206. Since Q value is smaller than the critical value
obtained from the chi-square table at 95% significant level with three degrees of freedom, there
is not a statistically significant difference among the groups according to the implementation
period.
3.4. Findings Regarding the Research Question: “Does the effect of the flipped
learning approach on academic achievement differ according to sample size?”
Findings regarding whether the effect size differs according to sample size are shown in
Table 6.
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Table 6: Findings regarding the effect size according to sample size
Variable
QB
p
Sample Size
1-30 participants
31-60 participants
61 or more participants
9.145
.01
n
ES
Effect Size at 95%
Confidence Interval
ESMin
SE
ESMax
11
39
30
1.056
.668
.358
.578
.474
.155
.244
.099
.104
1.535
.862
.561
It is found that critical value obtained from the chi-square table at 95% significant level
with two degrees of freedom is 5.991. The homogeneity value among the groups according to
sample size is (QB) 9.145. Since Q value is larger than the critical value obtained from the chisquare table at 95% significant level with two degrees of freedom, there is a statistically
significant difference among the groups according to sample size. Accordingly, it proves that
the effect of the flipped learning approach on academic achievement is higher in small groups
than in large groups.
3.5. Findings Regarding the Research Question: “Does the effect of the flipped
learning approach on academic achievement differ according to the practitioner?”
Findings regarding whether the effect size differs according to the practitioner are shown
in Table 7.
Table 7: Findings regarding the effect size according to the practitioner
Variable
QB
p
Practitioner
Researcher
Teacher
Researcher/Teacher
Unspecified
1.686
.640
n
ES
Effect Size at 95%
Confidence Interval
ESMin
SE
ESMax
28
34
8
10
.568
.565
.793
.404
.317
.358
.352
.017
.129
.106
.225
.198
.820
.772
1.233
.792
It is found that critical value obtained from the chi-square table at 95% significant level
with three degrees of freedom is 7.815. The homogeneity value among the groups according to
the practitioner is (QB) 1.686. Since Q value is smaller than the critical value obtained from the
chi-square table at 95% significant level with three degrees of freedom, there is not a
statistically significant difference among the groups according to the practitioner.
3.6. Findings Regarding the Research Question: “Does the effect of the flipped
learning approach on academic achievement differ according to being
national/international?”
Findings regarding whether the
national/international are shown in Table 8.
effect
size
differs
according
to
being
Table 8: Findings regarding the effect size according to being national/international
Variable
National
International
QB
p
13.265
.000
n
ES
Effect Size at 95%
Confidence Interval
ESMin
SE
ESMax
26
54
.946
.408
.700
.256
.126
.078
1.192
.560
It is found that critical value obtained from the chi-square table at 95% significant level
with one degree of freedom is 3.841. The homogeneity value among the groups according to
being national/international is (QB) 13.265. Since Q value is larger than the critical value
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obtained from the chi-square table at 95% significant level with one degree of freedom, there is
a statistically significant difference among the groups according to being national/international.
Accordingly, it proves that the effect of the flipped learning approach on academic achievement
is higher in national studies than in international studies.
In order to unveil the reasons for this difference, it is necessary to determine from which
perspectives national studies differ from international studies. In this respect, studies included in
the meta-analysis were examined in terms of the implementation period and sample size
according to being national or international. First, descriptive statistics of the implementation
period of the flipped learning approach according to whether studies are national or
international are given in Table 8a.
Table 8a: Descriptive
national/international
Implementation Period
National
International
Total
statistics
of
1-4 weeks
f
%
10
38.4
4
7.4
14
the
implementation
5-8 weeks
f
%
13
50.0
25
46.3
38
period
according
to
being
9 or more weeks
f
%
3
11.5
17
31.5
20
Table 8a shows that the number of the studies of which implementation period
corresponds to the time interval of 5-8 weeks is high in number (38). It draws attention that
national studies (38.4%) corresponding to the time interval of 1-4 weeks are more than
international ones (7.4%), and the studies corresponding to the time interval of 9 or more weeks
are seen to be high in number in international studies. The frequency distribution of 8 studies
(14.8%) that did not report the implementation period was excluded from Table 8a. As another
factor that may influence the effect size, the sample sizes of the experimental groups are
determined. Descriptive statistics of the sample size of the experimental group according to
whether studies are national or international are given in Table 8b.
Table 8b: Descriptive statistics of the sample size according to being national/international
Sample Size
National
International
Total
1-30 participants
F
%
9
34.6
2
3.7
11
31-60 participants
f
%
12
46.1
27
50.0
39
61 or more participants
f
%
5
19.2
25
46.3
30
As shown in the table 8b, the number of the studies whose sample size is between 31-60, is
higher in number (39) compared to the others. It is noteworthy that national studies with a
sample size of 1-30 (34.6%) are more than international ones (3.7%). Moreover, international
studies with a sample size of 61 or more participants (46.3%) are seen to be high in number than
national ones (19.2%) in the groups.
4. RESULTS and DISCUSSION
This study aims to examine the effect of the flipped learning approach on academic
achievement through meta-analysis method. Within the scope of the first research question,
which examines the effect of flipped learning on students’ academic, 80 datasets were included
in the meta-analysis. The homogeneity value of the studies (Q = 434.834) included in the study
exceeds the critical value of the chi-square distribution with 79 degrees of freedom (for df=79,
X2 (0.95)=100.749). Therefore, the random effects model was preferred to calculate the effect
size of the studies. According to the results of the analysis through random effects model,
general effect sizes of the studies were found as .566, which has moderate effect according to
the classification by Cohen et al. (2007). Therefore, it is concluded that the effect of the flipped
learning approach on academic achievement is more effective than traditional learning
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approach. Similarly, in a meta-analysis study by Hew & Lo (2018), which examines the effect
of flipped learning in health profession on student learning, it is found a significant effect in
favour of flipped learning for health professionals’ education (SMD = 0.33, 95% CI 0.21–0.46,
p < .001).
There can be various variables that can affect academic achievement in flipped context.
For example, it is reported that, in a flipped learning environment, students take more
responsibility (Educause, 2012), learn at their own pace and style (Fulton, 2012), participate in
interactive and problem-solving activities as active learners (Sharpe, 2016), and show higher
level of motivation (Tarazi, 2016. Additionally, such an environment causes an increase in
students’ awareness of metacognition (Yıldız & Kıyıcı, 2016) and their conceptual
understanding (Renfro, 2014) allowing group discussion and peer instruction (Fulton, 2012).
Furthermore, teachers use “just-in-time teaching” to adjust their instruction according to
questions and web-based quizzes done by students before class (Berett, 2012). These benefits
and characteristics of flipped learning approach might be the reason that leads a better academic
achievement.
The second research question is “Does the effect of the flipped learning approach on
academic achievement differ according to educational level?” When the effect sizes of
educational level of students are compared, it is seen that the highest effect size value belongs to
elementary school level (ES=.653) and the lowest effect size value belongs to high school level
(ES=.448). Besides, homogeneity value among the groups (QB=1.100) is smaller than the
critical value obtained from the chi-square table at 95% significant level with two degrees of
freedom (for df=2, X2 (0.95)=5.991). Therefore, it is concluded that there is not a statistically
significant difference among the groups according to educational level.
The third research question is: “Does the effect of the flipped learning approach on
academic achievement differ according to the implementation period?” When the effect sizes of
implementation periods are compared, it is seen that effect size is .692 for 1-4 weeks, .582 for 58 weeks, and .410 for 9 or more weeks. The homogeneity value among the groups (QB= 2.206)
is smaller than the critical value obtained from the chi-square table at 95% significant level with
three degrees of freedom (for df=3, X2 (0.95)=7.815). Therefore, it is concluded that there is not
a statistically significant difference among the groups according to the implementation period.
Even though there is not a significant difference among the groups, after four weeks, as the
implementation period of the flipped learning approach lengthens, the effect size reduces.
The fourth research question is: “Does the effect of the flipped learning approach on
academic achievement differ according to sample size?” When the effect sizes of sample sizes
are compared, the highest effect size value belongs to groups with a sample size of 1-30
(ES=1.056) and the lowest effect size value belongs to groups with a sample size of 61 or more
participants (ES=.358). Since the homogeneity value among the groups (QB=9.145) is larger
than the critical value obtained from the chi-square table at 95% significant level with two
degrees of freedom (for df=2, X2 (0.95)=5.991), there is a statistically significant difference
among the groups according to sample size. Therefore, it can be concluded that the effect of
flipped learning on academic achievement is higher in small groups than in large groups. That
is, as the groups get larger, the effect size reduces. Based on the findings, it can be inferred that
implementations are more successful in small groups than in large groups because small groups
may facilitate the implementation of flipped learning approach and help teachers have control
over classroom easily. In this regard, it is reported by other researchers that teaching is more
effective and students are more successful in small classes (Burgaz, 2002; McGiverin, Gilman
& Tillitski, 1989; Nye, Hedges & Konstantopoulos, 2000; Resnick & Zurawsky, 2003).
Moreover, teachers indicated that smaller classes have many advantages than larger classes, and
their experiences are better in smaller classes especially in terms of individualisation (Shapson,
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İbrahim Karagöl, Emrullah Esen
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Wright, Eason & Fitzgerald, 1980, p. 149). In a meta-analysis study by McGiverin, Gilman &
Tillitski (1989), it is found that primary school students who studied in small classes for three
years are more successful than their peers who studied in crowded classes. Finn, Pannozzo &
Achilles (2003) also pointed out that small classes increase students’ academic performance and
help enhance students’ engagement in the classroom.
The fifth research question is: “Does the effect of the flipped learning approach on
academic achievement differ according to the practitioner?” In terms of researchers, teachers
and researchers/teachers as practitioners, the effect size of the studies is found respectively .568,
.565 and .793. The homogeneity value among the groups (QB=1.686) is smaller than the critical
value obtained from the chi-square table at 95% significant level with three degrees of freedom
(for df=3, X2 (0.95)=7.815). Therefore, it is concluded that there is not a statistically significant
difference among the groups according to the practitioner.
The sixth research question is: “Does the effect of the flipped learning approach on
academic achievement differ according to being national/international?” When the effect sizes
of studies are compared in terms of being national/international, it is seen that effect size is .946
for national studies and .408 for international studies. The homogeneity value between the
groups (QB=13.265) is larger than the critical value obtained from the chi-square table at 95%
significant level with one degree of freedom (for df=1, X2 (0.95)=3.841). There is a statistically
significant difference between the groups according to being national/international. Therefore, it
inferred that the effect of the flipped classroom on academic achievement is higher in national
studies than in international studies. In order to unveil the reasons for this difference, national
and international studies were examined in terms of the implementation period and sample size.
It is seen that national studies (38.4%) corresponding to the time interval of 1-4 weeks are more
than international ones (7.4%), and the studies corresponding to the time interval of 9 or more
weeks are seen to be high in number in international studies. Besides, national studies with a
sample size of 1-30 (34.6%) are more than international ones (3.7%), and international studies
are high in number than national ones in the groups with a sample size of 61 or more
participants. As stated above, the effect sizes are high when the implementation is carried out
with small groups (1-30) and the implementation period lasts between 1-4 weeks. Therefore, the
higher effect size in the national studies might stem from the fact that these studies were carried
out with small groups and their implementation period lasted between 1-4 weeks.
According to the results of the study, flipped learning approach is more effective at the
elementary school level as educational level; between 1-4 weeks as implementation period and
between 1-30 participants as the sample size for increasing the academic achievement of
students. Besides, flipped learning approach is less effective at the high school level as
educational level; over 9 weeks as implementation period and over 31 participants as the sample
size in terms of the academic achievement of students. Considering the results obtained in the
study, the following implications can be made:
Flipped learning approach is found to be more effective between 1-30 participants as
sample size. Thus, the flipped learning approach should be used more in classes with 30
students or less in order to enhance students’ performance.
It is concluded that after four weeks, as the implementation period of the flipped
learning approach lengthens, the effect size reduces. It can be recommended that the
effect of the implementation period should be researched in a detailed way for further
studies.
This study examines the effect of flipped learning on only academic achievement. The
effect of flipped learning on factors such as attitude, self-efficacy, and motivation can
be analysed through meta-analysis for further studies.
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When the effect size of the flipped learning approach on students’ academic
achievement is examined, it is found that there is a significant difference according to
being national/international. The effect size is higher in national studies than
international ones. The reasons for this result can be more deeply investigated.
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*Turan, Z. (2015). Ters yüz sınıf yöntemının değerlendırılmesı ve akademık başarı, bılışsel yük ve motıvasyona
etkısının ıncelenmesı. Unpublished doctoral dissertation. Atatürk University, Erzurum.
*Umutlu, D. (2016). Effects of different video modalities on writing achievement in flipped english classes.
Unpublished master's dissertation. Boğaziçi University, İstanbul.
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*Vang, Y. V. (2017). The impact of the flipped classroom on high school mathematics students' academic
performance and self-efficacy. Unpublished doctoral dissertation. California State University.
*Webb, M., & Doman, E. (2016). Does the flipped classroom lead to increased gains on learning outcomes in
ESL/EFL contexts?. CATESOL Journal, 28(1), 39-67.
*Wiginton, B. (2013). Flipped instruction: An investigation into the effect of learning environment on student selfefficacy, learning style, and academic achievement in an algebra I classroom. Unpublished doctoral dissertation.
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*Winter, J. B. (2013). The effect of the flipped classroom model on achievement in an introductory college physics
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*Yavuz, M. (2016). rtaöğret m düzeyinde ters yüz sınıf uygulamalarının akademik başarı üzerine etkisi ve öğrenci
deneyimlerinin incelenmesi. Unpublished master’s dissertation. Atatürk University, Erzurum.
*Yıldız, D. G., & Kıyıcı, G. (2016). Ters-yüz edilmiş sınıf modelinin öğretmen adaylarının erişileri ve görüşleri
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*Zhonggen, Y., & Wang, G. (2016). Academic achievements and satisfaction of the clicker-aided flipped business
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The Effect of Flipped Learning Approach on Academic Achievement: A Meta-Analysis Study
19
UZUN ÖZET
Günümüzde yaşanan bilimsel ve teknolojik gelişmelerle birlikte, eğitim-öğretim ortamları
farklılaşmaya ve değişmeye başlamıştır. Özellikle, bilgisayar ve internet kullanımının yaygınlaşması
çoklu ortam teknolojilerinin eğitim ortamlarına dahil edilme sürecine hız kazandırmıştır. Teknolojinin
yaygınlaşması ile birlikte değişen ihtiyaçlar ve artan olanaklar eğitimde uzaktan eğitim, bilgisayar
destekli öğretim, harmanlanmış öğretim ve internet tabanlı öğretim gibi yenilikçi yaklaşımların hayata
geçirilmesine zemin hazırlamıştır. Bu doğrultuda ortaya çıkan yeni yaklaşımlardan biri de ters-yüz
edilmiş öğrenme yaklaşımıdır. Geleneksel yöntemlerin aksine, ters-yüz edilmiş öğrenme yaklaşımının
temel mantığı doğrudan anlatım etkinliklerini dersin dışına taşıyarak, ders süresince, işbirlikçi aktivitelere
ve pratik uygulamalara daha fazla zaman ayırmaktır (Arnold-Garza, 2014; Bergman & Sams, 2012;
Bishop & Vergler, 2013; Enfield, 2013). Ders içerikleri, öğrenciler tarafından kısa videolar ya da ses
kayıtları aracılığıyla takip edilirken, ders saati öğrencilerin öğrendiklerini uygulayabilecekleri
egzersizlere, birbirleriyle iş birliği yapabilecekleri projelere ve birbirleriyle etkileşim kurabilecekleri
çeşitli etkinliklere ayrılır (Educause, 2012).
Akademik başarı açısından bakıldığında ters-yüz edilmiş ve geleneksel sınıflar pek çok
araştırmanın konusu olmuştur. Son test puanları temel alındığında, yürütülen bazı çalışmalar ters-yüz
edilmiş sınıflar lehine anlamlı bir başarı farkı olduğunu ortaya koyarken (Aljeser, 2007; Aydın, 2016; Sun
& Wu, 2016; Turan, 2015, Salimi & Yousefzadeh, 2015;), bazı çalışmalar ise son-test puanları arasında
anlamlı bir fark olmadığını (Dixon, 2017; Fraja, 2017; Sharpe, 2016; Saunders, 2014; Yavuz, 2016)
ortaya koymaktadır. Araştırma sonuçları ters-yüz edilmiş öğrenme yaklaşımının akademik başarı
üzerindeki etkisine yönelik farklı bulgular ortaya koymaktadır. Eğitim bilimleri alanının karmaşık bir
yapıya sahip olması; aynı zamanda çalışmaların iç geçerliğini etkileyen ve ortadan kaldırılması mümkün
olmayan çok sayıda tehdidin bulunması (Üstün & Eryılmaz, 2014) bu durumun sebepleri arasında
gösterilebilir. Diğer taraftan, Davies (2000) tek başına bir deneyin; zaman, örneklem ve bağlam gibi
duruma özgü sınırlılıkları olduğunu ifade etmektedir. Bu bağlamda aynı konu üzerinde yapılmış farklı
araştırma sonuçlarının bulgularını bir araya getirerek, örneklemi genişletmek ve güvenilir sonuçlar elde
etmek için kullanılan meta-analiz araştırmalarının (Dempfle, 2006; Petitti, 2000) önemli bir yere sahip
olduğu belirtilmektedir. Bu doğrultuda ters-yüz edilmiş öğrenme yaklaşımının akademik başarıya olan
etkisini ortaya çıkarmak amacıyla ülkemizde ve dünyada yapılmış araştırmalara yönelik bir meta-analiz
araştırmasına ihtiyaç olduğu düşünülmektedir. Çalışma kapsamında ters-yüz edilmiş öğrenme
yaklaşımının akademik başarıya etkisinin meta-analiz yöntemiyle incelemesi amaçlanmıştır.
Araştırmada ters-yüz öğrenme yaklaşımının akademik başarıya olan etkisini incelemek için metaanaliz yöntemi kullanılmıştır. Araştırmaya dahil edilecek çalışmaları, ters-yüz edilmiş öğretimle ilgili
araştırma problemlerine ve gerekli istatistiksel verilere sahip olan bilimsel dergilerde yayımlanmış
makaleler ile yüksek lisans ve doktora tezleri oluşturmaktadır. Araştırma kapsamında “ters-yüz edilmiş
öğretim”, “ters-yüz edilmiş öğrenme”, “akademik başarı” gibi anahtar kelimeler kullanılarak EBSCOhost,
ProQuest, JSTOR, Google Akademik, TÜBİTAK ULAKBİM Sosyal Bilimler Veri Tabanı, YÖK Tez ve
ERIC arama motorları aracılığıyla ilgili tez ve makaleler elde edilmiştir. Ulaşılan çalışmaların özet
kısımları okunmuş ve eş kopyalar elendikten sonra incelemeye 365 çalışma alınmıştır. Kısıtlamalı olan
dört teze ise ulaşılamamıştır. Araştırma problemine uygun olamayan (n=258) ve dahil edilme ölçütlerini
karşılamayan (n=51) makale ve tezler elenmiştir. Eğer aynı çalışma hem tez hem de makale olarak
yayımlanmışsa, daha detaylı bilgi içereceği için tezler araştırma kapsamına alınmış, makaleleri
alınmamıştır (n=1). Böylelikle geriye 55 çalışma kalmıştır. Bazı çalışmalarda ters-yüz edilmiş öğrenme
yaklaşımının akademik başarıya etkisi her bir ders için ayrı ayrı hesaplandığı için veri seti 80 olarak
belirlenmiştir.
Meta-analiz kodlama sürecinde çalışmaların meta-analize dahil edilme ölçütlerine uygun olup
olmadığının belirlenmesi ve çalışmalar arasında karşılaştırma yapılabilmesi için çalışmanın amacına
uygun olarak bir kodlama formu oluşturulmuştur. Kodlama formunda çalışmanın adı, çalışmanın yazarı,
çalışmanın yapıldığı yer, çalışmanın uygulama süresi, çalışmayı kimin yürüttüğü, örneklem düzeyi,
çalışmadaki toplam örneklem sayısı, çalışmadaki istatistiksel veriler gibi çalışmaya ait birtakım bilgiler
istenilmiştir. Araştırmada kodlamalar araştırmacılar tarafından yapılmıştır. Bununla birlikte, rasgele
seçilen 11 çalışmanın kodlaması eğitim bilimleri alanında doktora eğitimine devam eden başka bir
araştırma görevlisi tarafından yapılmıştır. Kodlama güvenirliğinin hesaplanabilmesi için bu 11 çalışmanın
kodlanan bulguları karşılaştırılmış, Miles & Huberman’ın (1994) güvenirlik formülü kullanılarak görüşler
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20
İbrahim Karagöl, Emrullah Esen
arasındaki güvenirlik katsayısı hesaplanmıştır. Hesaplamalar sonucunda birinci araştırmacı ile araştırma
görevlisi arasındaki güvenirlik katsayısı %93, ikinci araştırmacı ile araştırma görevlisi arasındaki
güvenirlik katsayısı %92, araştırmacıların kendi arasındaki güvenirlik katsayısı %99 bulunmuştur.
Güvenirlik katsayısının %70’in üzerinde olması araştırma için güvenilir kabul edilmektedir (Miles &
Huberman, 1994). Dolayısıyla kodlamaların güvenilir olduğu söylenebilir. Örtüşmeyen kodlamalar,
kodlayıcılar tarafından tekrar gözden geçirilmiş ve ortak bir kararla düzeltilmiştir.
Yapılan meta-analiz araştırması sonucunda ters-yüz edilmiş öğrenme yaklaşımının akademik
başarı üzerinde pozitif yönde etkisi olduğu görülmüştür. Ters-yüz edilmiş öğrenme yaklaşımının
akademik başarıya ilişkin genel etki büyüklüğü değeri rastgele etkiler modeli kullanılarak, %95 güven
aralığının alt sınırı .428, üst sınırı .705 ve etki büyüklüğünün ortalama değeri .566 olarak hesaplamıştır.
Cohen ve diğerlerine (2007) göre bu değer orta düzeyde bir etkiye sahiptir. Araştırmanın yayım
yanlılığını ortaya çıkarmak amacıyla “Classic Fail-Safe N” analizinden ve Huni Grafiğinden (Funnel
Plot) yararlanılmış, meta-analiz araştırmasında yayım yanlılığının olmadığı belirlenmiştir. Ters-yüz
edilmiş öğrenme yaklaşımının akademik başarı üzerindeki etkisinin uygulama sürelerinin uzunluğuna ya
da kısalığına göre değişmediği; ters-yüz edilmiş öğrenme yaklaşımının akademik başarı üzerindeki
etkisinin küçük gruplarda daha yüksek olduğu; ters-yüz edilmiş öğrenme yaklaşımının uygulayan kişinin
öğrenci başarısı üzerinde anlamlı bir etkisinin olmadığı ve çalışmaların ulusal/uluslararası olma durumuna
göre gruplar arasında anlamlı bir farklılık olduğu sonuçlarına ulaşılmıştır. Araştırma sonuçlarından elde
edilen bulgulara dayanarak, ters-yüz edilmiş öğrenme yaklaşımının sınıf mevcudu olarak 30 ve daha az
sınıf büyüklüklerinde kullanılması önerilebilir. Ters-yüz edilmiş öğrenme yaklaşımının öğrencilerin
akademik başarısına ilişkin etki büyüklükleri incelendiğinde çalışmaların ulusal/uluslararası olma
durumuna göre anlamlı farklılık tespit edilmiştir. Etki büyüklüğü ulusal çalışmalarda daha yüksek
çıkmıştır. İleriki araştırmalar için bu sonuçların nedenleri derinlemesine araştırılabilir.
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