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Cheung, Mike W.-L.

Meta-Analysis: A Structural Equation Modeling Approach

Cheung, Mike W.-L. - Meta-Analysis: A Structural Equation Modeling Approach, ebook

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ISBN: 9781118957837
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Presents a novel approach to conducting meta-analysis using structural equation modeling.

Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment.

Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included.

This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.

Keywords: meta-analysis, structural equation models, statistics, R, educational science, social science, behavioral science, medical science, meta-analysis, structural equation models, statistics, R, educational science, social science, behavioral science, medical science, Applied Probability & Statistics - Models

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2014
Language
en
Edition
1
Page amount
400 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9781118957837
Printed ISBN
9781119993438

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