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Tracey King Schaller; P. Wesley Routon; Mark Allen Partridge; Reanna Berry – Journal of College Student Retention: Research, Theory & Practice, 2025
Given the current surge in student participation in dual enrollment programs, an updated synthesis of literature relating to how these programs impact students is warranted. Furthermore, while there are qualitative literature reviews relating to dual enrollment and student outcomes, there has not been a quantitative synthesis of literature…
Descriptors: Meta Analysis, Dual Enrollment, Grade Point Average, Outcomes of Education
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Marcus Pietsch; Burak Aydin; Sedat Gümüs – Educational Evaluation and Policy Analysis, 2025
Aggregated data meta-analyses indicate a correlation between instructional leadership and student achievement. However, it is unclear to what extent this relationship can be generalized across cultural contexts, as most primary studies stem from Anglophone regions. Drawing on international large-scale assessment data, this 3-level individual…
Descriptors: Instructional Leadership, Academic Achievement, Meta Analysis, Principals
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Sookyoung Son; Yoona Jang; Miri Yoon – Journal of Career Development, 2025
This study examines how self-esteem and social support (parental, teacher, and peer) influence the career maturity of Korean adolescents over time. By synthesizing findings from 18 longitudinal studies, a meta-analysis was conducted. Results reveal that while self-esteem initially shows a strong correlation with career maturity, this relationship…
Descriptors: Foreign Countries, Adolescents, Vocational Maturity, Longitudinal Studies
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Jiahe Gu; Zi Yan – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has the potential to change student learning. Despite the popularity of integrating this novel technology into teaching and learning practices, few meta-analyses have synthesised its effect in the education context with K-12 and college students. This review examined the effects of GenAI interventions on…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Academic Achievement
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Nan Ma; Zhiyong Zhong – Journal of Computer Assisted Learning, 2025
Background: With the rapid advancement of technology, the integration of Generative Artificial Intelligence (GAI) in education has gained considerable attention. Many studies have examined GAI's impact on learning outcomes, yet their conclusions are inconsistent, highlighting the need for a comprehensive review to clarify its overall effects and…
Descriptors: Meta Analysis, Artificial Intelligence, Technology Uses in Education, Outcomes of Education
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Jamshidi, Laleh; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2021
Previous research found bias in the estimate of the overall fixed effects and variance components using multilevel meta-analyses of standardized single-case data. Therefore, we evaluate two adjustments in an attempt to reduce the bias and improve the statistical properties of the parameter estimates. The results confirm the existence of bias when…
Descriptors: Statistical Bias, Multivariate Analysis, Meta Analysis, Research Design
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Razmi, Mohammad Hasan; Khabir, Masoud; Tilwani, Shouket Ahmad – International Journal of Language Testing, 2021
Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…
Descriptors: Meta Analysis, Predictive Validity, College Entrance Examinations, Graduate Study
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Kulinskaya, Elena; Hoaglin, David C.; Bakbergenuly, Ilyas; Newman, Joseph – Research Synthesis Methods, 2021
The conventional Q statistic, using estimated inverse-variance (IV) weights, underlies a variety of problems in random-effects meta-analysis. In previous work on standardized mean difference and log-odds-ratio, we found superior performance with an estimator of the overall effect whose weights use only group-level sample sizes. The Q statistic…
Descriptors: Q Methodology, Meta Analysis, Statistical Analysis, Statistical Distributions
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Weber, Frank; Knapp, Guido; Glass, Änne; Kundt, Günther; Ickstadt, Katja – Research Synthesis Methods, 2021
There exists a variety of interval estimators for the overall treatment effect in a random-effects meta-analysis. A recent literature review summarizing existing methods suggested that in most situations, the Hartung-Knapp/Sidik-Jonkman (HKSJ) method was preferable. However, a quantitative comparison of those methods in a common simulation study…
Descriptors: Meta Analysis, Computation, Intervals, Statistical Analysis
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McBreen, Miriam; Savage, Robert – Educational Psychology Review, 2021
This systematic review and meta-analysis explores the impact of motivational reading interventions on the reading achievement and reading motivation of school-age students. Results of preliminary searches for--and inspection of--the existing meta-analytic literature suggest that while there exist published meta-analyses on motivational reading…
Descriptors: Reading Motivation, Reading Instruction, Reading Achievement, Student Motivation
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Mathur, Maya B.; VanderWeele, Tyler J. – Research Synthesis Methods, 2021
Selective publication and reporting in individual papers compromise the scientific record, but are meta-analyses as compromised as their constituent studies? We systematically sampled 63 meta-analyses (each comprising at least 40 studies) in "PLoS One," top medical journals, top psychology journals, and Metalab, an online, open-data…
Descriptors: Periodicals, Peer Evaluation, Bias, Meta Analysis
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Fernández-Castilla, Belén; Declercq, Lies; Jamshidi, Laleh; Beretvas, S. Natasha; Onghena, Patrick; Van den Noortgate, Wim – Journal of Experimental Education, 2021
This study explores the performance of classical methods for detecting publication bias--namely, Egger's regression test, Funnel Plot test, Begg's Rank Correlation and Trim and Fill method--in meta-analysis of studies that report multiple effects. Publication bias, outcome reporting bias, and a combination of these were generated. Egger's…
Descriptors: Statistical Bias, Meta Analysis, Publications, Regression (Statistics)
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Çevik, Mustafa; Bakioglu, Büsra – International Journal of Progressive Education, 2022
STEM education is an educational approach whose popularity has increased in recent years. Although numerous efforts have been made to make STEM education more effective, educators face great difficulties in finding appropriate teaching methods and strategies. Within this framework, the aim of this research is to examine the results of studies that…
Descriptors: STEM Education, Integrated Curriculum, Teaching Methods, Learning Strategies
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Yildirim, Esat – International Journal of Research in Education and Science, 2022
The aim of this study is to analyze the effect of drama method on academic achievement and attitude in preschool and primary school in terms of meta-analysis and meta-synthesis in Turkish sample. In this study, a methodological approach was used that combines meta-analysis of quantitative data with qualitative data to present the broadest view of…
Descriptors: Dramatics, Teacher Motivation, Academic Achievement, Student Attitudes
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Warne, Russell T. – Journal of Advanced Academics, 2022
Recently, Picho-Kiroga (2021) published a meta-analysis on the effect of stereotype threat on females. Their conclusion was that the average effect size for stereotype threat studies was d = .28, but that effects are overstated because the majority of studies on stereotype threat in females include methodological characteristics that inflate the…
Descriptors: Sex Stereotypes, Females, Meta Analysis, Effect Size
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