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Meta-Analysis: A Structural Equation Modeling Approach

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Meta-Analysis: A Structural Equation Modeling Approach

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.Â Readers will learn a single framework to apply both meta-analysis and SEM.Â Examples in R and in Mplus are included.Â

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.

Country	USA
Author	Mike W.-L. Cheung
Binding	Hardcover
EAN	9781119993438
Edition	1
IsAdultProduct
ISBN	1119993431
Label	Wiley
Manufacturer	Wiley
NumberOfItems	1
NumberOfPages	408
PublicationDate	2015-05-06
Publisher	Wiley
Studio	Wiley
ReleaseDate	0000-00-00

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