Product Description

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

Product Details

• Amazon Sales Rank: #28731 in Books
• Published on: 2009-03-13
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 450 pages

From the Back Cover
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

Worked examples and class materials can be viewed at www.Meta–Analysis.com

Customer Reviews

Meta analysis
Mata-analysis is becoming one of the major areas of medical research. This book is one of the clearest and most useful books on meta-analysis that I have found. It does not require high standard of statistical know how to follow the main arguments. I particularly liked the way the practical work with all the stats were kept in separate chapters so that they did not interfere with the flow of the description for those less interested in the maths. If you are interested in performing meta-analyses then this book is a must. Over the years I have bought many statistics books and this is the first one I have literally read cover to cover.