Meta-Analysis
eBook - ePub

Meta-Analysis

A Structural Equation Modeling Approach

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Meta-Analysis

A Structural Equation Modeling Approach

About this book

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.

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Yes, you can access Meta-Analysis by Mike W.-L. Cheung in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2015
Print ISBN
9781119993438
eBook ISBN
9781118957820

Table of contents

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