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Introduction to Meta-Analysis

by Michael Borenstein

A practical framework for synthesizing research

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Awards & Recognition

  • Critical praise

    Praise from Harris Cooper, editor-in-chief of American Psychologist

    Cooper praises the book’s unified framework and says its use would improve the quality of meta-analysis submissi...

AlbakiReads Editorial

A practical framework for synthesizing research

This second edition introduces meta-analysis as a way to combine findings from separate studies and explains its place in the research process. It covers effect sizes and treatment effects, fixed-effect and random-effects models, variation across studies, publication bias, and common methodological mistakes. New chapters organize the work of conducting and reporting a meta-analysis into a start-to-finish process. The scope also includes controversies in the field, with companion online materials such as videos, data files, spreadsheets, and worked examples supporting the book’s practical guidance.

Good fit for readers who enjoy

  • Researchers and students learning how to conduct or report meta-analyses
  • Instructors seeking a course text on meta-analysis
  • Readers seeking an introduction that combines conceptual explanations with statistical methods

Themes

Meta-analysis methodsEffect sizes and treatment effectsHeterogeneity across studiesPublication bias and methodological pitfalls

Based on publisher information and book metadata.

Book overview

A clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies

The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, and more. Several brand-new chapters provide a systematic "how to" approach to performing and reporting a meta-analysis from start to finish.

Written by four of the world's foremost authorities on all aspects of meta-analysis, the new edition:

  • Outlines the role of meta-analysis in the research process
  • Shows how to compute effects sizes and treatment effects
  • Explains the fixed-effect and random-effects models for synthesizing data
  • Demonstrates how to assess and interpret variation in effect size across studies
  • Explains how to avoid common mistakes in meta-analysis
  • Discusses controversies in meta-analysis
  • Includes access to a companion website containing videos, spreadsheets, data files, free software for prediction intervals, and step-by-step instructions for performing analyses using Comprehensive Meta-Analysis (CMA)

Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com

"This book offers the reader a unified framework for thinking about meta-analysis, and then discusses all elements of the analysis within that framework. The authors address a series of common mistakes and explain how to avoid them. As the editor-in-chief of the American Psychologist and former editor of Psychological Bulletin, I can say without hesitation that the quality of manuscript submissions reporting meta-analyses would be vastly better if researchers read this book."
--Harris Cooper, Hugo L. Blomquist Distinguished Professor Emeritus of Psychology and Neuroscience, Editor-in-chief of the American Psychologist, former editor of Psychological Bulletin

"A superb combination of lucid prose and informative graphics, the authors provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students raved about the clarity of the explanations and examples."
--David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics

"The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice."
--Jesse A. Berlin, SCD

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