Meta-Analysis (ePub)
A Structural Equation Modeling Approach
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Mike W. -L. Cheung
Mike W.-L. Cheung, National University of Singapore, Singapore
Bibliographische Angaben
- Autor: Mike W. -L. Cheung
- 2015, 1. Auflage, 400 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1118957822
- ISBN-13: 9781118957820
- Erscheinungsdatum: 07.04.2015
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- Dateiformat: ePub
- Grösse: 16 MB
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Sprache:
Englisch
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