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Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2024
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
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Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
Hedges, Larry V.; Schauer, Jacob M. – Grantee Submission, 2019
Formal empirical assessments of replication have recently become more prominent in several areas of science, including psychology. These assessments have used different statistical approaches to determine if a finding has been replicated. The purpose of this article is to provide several alternative conceptual frameworks that lead to different…
Descriptors: Statistical Analysis, Replication (Evaluation), Meta Analysis, Hypothesis Testing
Zhang, Zhiyong; Jiang, Kaifeng; Liu, Haiyan; Oh, In-Sue – Grantee Submission, 2018
To answer the call of introducing more Bayesian techniques to organizational research (e.g., Kruschke, Aguinis, & Joo, 2012; Zyphur & Oswald, 2013), we propose a Bayesian approach for meta-analysis with power prior in this article. The primary purpose of this method is to allow meta-analytic researchers to control the contribution of each…
Descriptors: Bayesian Statistics, Meta Analysis, Correlation, Statistical Analysis
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Chelsea Daniels; Yoav Bergner; Collin Lynch; Tiffany Barnes – Grantee Submission, 2018
In the e-learning context, social network analysis (SNA) can be used to build understanding around the ways students participate and interact in online forums. This study contributes to the growing body of research that uses statistical methods to test hypotheses about structures in social networks. Specifically, we show how statistical analysis…
Descriptors: Hypothesis Testing, Social Networks, Network Analysis, MOOCs
Zimmerman, Kathleen N.; Pustejovsky, James E.; Ledford, Jennifer R.; Barton, Erin E.; Severini, Katherine E.; Lloyd, Blair P. – Grantee Submission, 2018
Varying methods for evaluating the outcomes of single case research designs (SCD) are currently used in reviews and meta-analyses of interventions. Quantitative effect size measures are often presented alongside visual analysis conclusions. Six measures across two classes--overlap measures (percentage non-overlapping data, improvement rate…
Descriptors: Research Design, Evaluation Methods, Synthesis, Intervention
Michael Hebert; Janet J. Bohaty; J. Ron Nelson; Jessica Brown – Grantee Submission, 2016
In this meta-analysis of 45 studies involving students in grades 2-12, the authors present evidence on the effects of text structure instruction on the expository reading comprehension of students. The meta-analysis was deigned to answer two sets of questions. The first set of questions examined the effectiveness of text structure instruction on…
Descriptors: Text Structure, Reading Instruction, Effect Size, Reading Comprehension
Kent, Shawn; Wanzek, Jeanne – Grantee Submission, 2016
Theories of writing development posit several component skills as necessary to the writing process. This meta-analysis synthesizes the literature on the correlation between these proposed component skills and writing outcomes. Specifically, this study examines the bivariate relationship of handwriting fluency, spelling, reading, and oral language…
Descriptors: Meta Analysis, Correlation, Writing Processes, Cognitive Processes