Description
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.
“This text is the primary source text for psychometric meta-analysis methods.”
—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. In addition to its use as a textbook, it is an invaluable resource for anyone involved in meta-analytic studies.”
—Steven Pulos, University of Northern Colorado
Table of Contents
PART I: INTRODUCTION TO META-ANALYSIS
1. Integrating Research Finding Across Studies
2. Study Artifacts and Their Impact on Study Outcomes
PART II: META-ANALYSIS OF CORRELATIONS
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
PART III: META-ANALYSIS OF EXPERIMENTAL EFFECTS AND OTHER DICHOTOMOUS COMPARISONS
6. Treatment Effects: Experimental Artifacts and Their Impact
7. Meta-Analysis Methods for d Values
8. Technical Questions in Meta-Analysis of d Values
PART IV: GENERAL ISSUES IN META-ANALYSIS
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
