OmschrijvingPresents a novel approach to conducting meta-analysis usingstructural equation modeling. Structural equation modeling (SEM) and meta-analysis are twopowerful statistical methods in the educational, so...
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Presents a novel approach to conducting meta-analysis usingstructural equation modeling.
Structural equation modeling (SEM) and meta-analysis are twopowerful statistical methods in the educational, social,behavioral, and medical sciences. They are often treated as twounrelated topics in the literature. This book presents a unifiedframework on analyzing meta-analytic data within the SEM framework,and illustrates how to conduct meta-analysis using the metaSEMpackage in the R statistical environment.
Meta-Analysis: A Structural Equation Modeling Approach begins byintroducing the importance of SEM and meta-analysis in answeringresearch questions. Key ideas in meta-analysis and SEM are brieflyreviewed, and various meta-analytic models are then introduced andlinked to the SEM framework. Fixed-, random-, andmixed-effects models in univariate and multivariate meta-analyses,three-level meta-analysis, and meta-analytic structural equationmodeling, are introduced. Advanced topics, such asusing restricted maximum likelihood estimation method and handlingmissing covariates, are also covered. Readers will learn asingle framework to apply both meta-analysis and SEM.
|Uitgever||John Wiley & Sons Ltd|