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: 
<ul>
<li>Outlines the role of meta-analysis in the research process</li> <li>Shows how to compute effects sizes and treatment effects</li> <li>Explains the fixed-effect and random-effects models for synthesizing data</li> <li>Demonstrates how to assess and interpret variation in effect size across studies</li> <li>Clarifies concepts using text and figures, followed by formulas and examples</li> <li>Explains how to avoid common mistakes in meta-analysis</li> <li>Discusses controversies in meta-analysis</li> <li>Features a web site with additional material and exercises</li> </ul>
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, &amp; 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

Introduction to Meta-Analysis

Politics & Social Sciences

Hedges, Larry V.

Rothstein, Hannah R.

Borenstein, Michael

Higgins, Julian

Sociology

John Wiley&Sons, Inc.

There are many issues that researchers need to address in computing treatment effects, many of which have not been tackled thus far in the literature. This book comprehensively addresses all the relevant issues in computing treatment effects, including many not previously detailed in the literature. It examines the relations between the different kinds of treatment effects, and how to convert amongst them, detailing both correlational and continuous data. Introductions and worked examples are provided for all the formulas used and an accompanying website with an instructional version of a computer program that computes treatment effects, allows the reader to perform all the exercises in the book, and check the accuracy of any spreadsheets they constructed.

Computing Effect Sizes for Meta-analysis (Statistics in Practice)

Science & Math

Higgins, Julian P. T.

Biological Sciences

wiley

This book provides 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: <ul> <li>Outlines the role of meta-analysis in the research process</li> <li>Shows how to compute effects sizes and treatment effects</li> <li>Explains the fixed-effect and random-effects models for synthesizing data</li> <li>Demonstrates how to assess and interpret variation in effect size across studies</li> <li>Explains how to avoid common mistakes in meta-analysis</li> <li>Discusses controversies in meta-analysis</li> <li>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)(tm)</li> </ul> Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com &nbsp; &nbsp;

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