Meta-Analysis Using Structural Equation Modeling

A Practical Guide with LISREL, Mplus, and R

Randall E. Schumacker

HardcoverPaperbacke-bookprint + e-book
Hardcover
November 16, 2026
ISBN 9781462564934
Price: $98.00
169 Pages
Size: 7" x 10"
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Paperback
October 19, 2026
ISBN 9781462564927
Price: $65.00
169 Pages
Size: 7" x 10"
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e-book
October 19, 2026
PDF ?
Price: $65.00
169 Pages
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print + e-book
Paperback + e-Book (PDF) ?
Price: $130.00 $78.00
169 Pages
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professor copy Digital professor copy available on VitalSource once published ?

“This exceptional book outlines the history of research synthesis procedures and provides a practical and easy-to-follow guide to conducting meta-analyses using SEM. Many concrete examples with computer programs using LISREL, Mplus, and R guide the researcher through the steps of conducting meta-analyses. This book is a gem!”

—Bradley T. Erford, PhD, Department of Human and Organizational Development, Vanderbilt University


“Schumacker thoroughly reviews all topics needed to effectively conduct meta-analyses using SEM, from the historical background to clear explanations of the various types of literature reviews, available software packages, and step-by-step methods. The book's examples include effective explanatory notes that facilitate understanding and translation to one's own projects. An excellent text for the beginning meta-analyst!”

—Marie S. Hammond, PhD, Professor and Distinguished Researcher, Department of Psychological Sciences and Counseling, Tennessee State University


“This book represents an important integration of meta-analysis and SEM. Dr. Schumacker describes the cutting edge of meta-analytic SEM in a way that is understandable to virtually all social science researchers or doctoral students. The multiple examples and extensive sample syntax allow readers to adapt and apply these techniques to their own data. After reading this book, you will have the knowledge and tools to fit complex—and more realistic—multivariate models to your meta-analytic data.”

—Noel A. Card, PhD, Director, Quantitative Methods in Family and Social Sciences, University of Georgia

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