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?s leading experts on all
aspects of meta-analysis. Borenstein, Hedges, Higgins, and
Rothstein 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, who used pre-publication versions
of some of the chapters, 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 

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