Introduction to Meta-Analysis

Introduction to Meta-Analysis

Author(s): Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein

Published Online: 11 MAR 2009

Print ISBN: 9780470057247

Online ISBN: 9780470743386

DOI: 10.1002/9780470743386

About this Book

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis:

  • 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
  • Clarifies concepts using text and figures, followed by formulas and examples
  • Explains how to avoid common mistakes in meta-analysis
  • Discusses controversies in meta-analysis
  • Features a web site with additional material and exercises

A superb combination of lucid prose and informative graphics, written by four of the world'sleading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothsteinprovide a refreshing departure from cookbook approaches with their clear explanations ofthe what and why of meta-analysis. The book is ideal as a course textbook or for self-study.My students, who used pre-publication versions of some of the chapters, raved about theclarity 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 theformulas and still understand their application and underlying motivation. For the morestatistically sophisticated reader, the relevant formulas and worked examples provide a superbpractical guide to performing a meta-analysis. The book provides an eclectic mix of examplesfrom education, social science, biomedical studies, and even ecology. For anyone consideringleading a course in meta-analysis, or pursuing self-directed study, Introduction toMeta-analysis would be a clear first choice. Jesse A. Berlin, ScD 

Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The bookprovides a clear and comprehensive presentation of all basic and most advanced approachesto meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

Table of contents

    1. You have free access to this content
  1. Part 1: Introduction

  2. Part 2: Effect Size and Precision

  3. Part 3: Fixed-Effect Versus Random-Effects Models

  4. Part 4: Heterogeneity

  5. Part 5: Complex Data Structures

  6. Part 6: Other Issues

  7. Part 7: Issues Related to Effect Size

  8. Part 8: Further Methods

  9. Part 9: Meta-Analysis in Context

  10. Part 10: Resources and Software

    1. You have free access to this content
    1. You have free access to this content

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