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 worldвЂ™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, ScDВ         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

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