**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.

- Cover
- Title Page
- Copyright
- Dedication
- Preface
- Acknowledgments
- List of abbreviations
- List of figures
- List of tables
- Chapter 1: Introduction
- Chapter 2: Brief review of structural equation modeling
- Chapter 3: Computing effect sizes for meta-analysis
- Chapter 4: Univariate meta-analysis
- Chapter 5: Multivariate meta-analysis
- Chapter 6: Three-level meta-analysis
- Chapter 7: Meta-analytic structural equation modeling
- Chapter 8: Advanced topics in SEM-based meta-analysis
- Chapter 9: Conducting meta-analysis with Mplus
- Appendix A: A brief introduction to R, OpenMx, and metaSEM packages
- Index
- End User License Agreement