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Methods of Meta-Analysis

Methods of Meta-Analysis
Correcting Error and Bias in Research Findings

Third Edition


March 2014 | 672 pages | SAGE Publications, Inc
Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors.

Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the definitive resource on meta-analysis.

1. Integrating Research Finding Across Studies
2. Study Artifacts and Their Impact on Study Outcomes
3. Meta-Analysis of Correlations Corrected Individually for Artifacts
4. Meta-Analysis of Correlations Using Artifact Distributions
5. Technical Questions In Meta-Analysis of Correlations
6. Treatment Effects: Experimental Artifacts and Their Impact
7. Meta-Analysis Methods for d Values
8. Technical Questions in Meta-Analysis of d Values
9. General Technical Issues in Meta-Analysis
10. Cumulation of Findings Within Studies
11. Different Meta-Analysis Methods and Related Software
12. Locating, Evaluating, Selecting, and Coding Studies and Presentation of Meta-Analysis Results
13. Availability Bias, Source Bias, and Publication Bias in Meta-Analysis
14. Summary of Psychometric Meta-Analysis


“This text is the primary source text for psychometric meta-analysis methods…This is the only comprehensive resource available for researchers interested in conducting psychometric meta-analysis methods. Another strength of the text is the inclusion of substantive examples from the field of IO psychology, which always helps with student comprehension.”

Emily E. Tanner-Smith, Vanderbilt University

“The key strength of the book is the complete and thorough coverage of psychometric meta-analysis.  This technique is not covered in any other meta-analysis text, and is a major contribution to the literature…The meta-analysis field needs to find ways to integrate Hunter and Schmidt’s methods into current meta-analysis practice.”

Terri D. Pigott, Loyola University of Chicago

“This is an important text…It is the only book that presents adequate coverage of psychometric meta-analysis…it is an invaluable resource for anyone involved in meta-analytic studies.”

Steven Pulos, University of Northern Colorado

Recommended for additional reading

Dr Olu A Awosoga
Addictions Counselling, University Of Lethbridge
October 27, 2015

A very comprehensive textbook that guides the student using a step-by-step approach.

Dr Geronimo Maldonado-Martinez
Retrovirus Research Center, Universidad Central del Caribe
October 20, 2014

This book is great for students' who want to learn about the basics of meta-analysis. It is an accessible read and I would recommend this to others.

Miss Charlotte Pennington
Department of Psychology, Edge Hill University
May 21, 2015

not accessible enough for students

Dr Bruce Newsome
International and Area Studies, Univ Of California-Berkeley
November 25, 2014

good book but not for undergraduates

Dr Tuo Yu Chen
Health and Human Sciences Program, Albany College of Pharmacy and Health Sciences
October 22, 2014

Check the review date. It should be 15th June 2015.

Dr Daniel Houlihan
September 3, 2014

The book has useful exercises for workshop based learning for first year undergraduate module "Introduction to statistics"

Dr Zrinka Mendas
Ashcroft Intl Bus Schl (Cambridge), Anglia Ruskin Univ.
July 2, 2014
Key features


  • Expanded end-of-chapter exercises help readers and researchers apply their knowledge.
  • Includes a full description of an improved Windows-based meta-analysis software package for applying the meta-analysis methods presented in the book..
  • An expanded discussion of the issues involved in path analyses based on meta-analytic correlation matrices has been added.
  • Includes an improved presentation of methods for conducting meta-analysis of d values when artifacts beyond sampling error and measurement error are corrected for.
  • Now includes new detailed discussions of such issues as detecting and calibrating moderators in meta-analysis, statistical problems in the use of meta-regression, the debate over optimal study weights in meta-analysis, second order sampling error in meta-analysis, and more.
  • Presents a new method for conducting second order meta-analysis, along with  two exercises requiring application of this new method.
  • Contains an updated discussion of SEM-based meta-analysis.
  • A new discussion of how the results of meta-analyses should be presented in research reports has been added.


  • The in-depth and reader-friendly explanations of meta-analysis are invaluable in the study of meta-analysis.
  • Layered presentation, with separate sections for simple and technical material, allows for comprehension of readers of all levels.
  • Meta-analysis methods are presented that not only correct for sampling error but for other artifacts as well, such as measurement error, range restriction, dichotomization of measures, and others.
  • Convenient Windows-based software package can be used to apply the methods presented in the book.

Sample Materials & Chapters

Chapter 1

Chapter 9

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