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E-RESOURCE
Author Hunter, John E. (John Edward), 1939-2002, author.

Title Methods of meta-analysis : correcting error and bias in research findings / Frank L. Schmidt, University of Iowa, John E. Hunter, Michigan State University.

Published Thousand Oaks, California : SAGE, [2015]

Copies

Location Call No. Status
 UniM INTERNET Resource    AVAILABLE
Edition Third edition.
Physical description 1 online resource (639 pages) : illustrations
Bibliography Includes bibliographical references (pages 577-609) and indexes.
Contents chapter 1. Integrating research finding across studies -- chapter 2. Study artifacts and their impact on study outcomes -- chapter 3. Meta-analysis of correlations corrected individually for artifacts -- chapter 4. Meta-analysis of correlations using artifact distributions -- chapter 5. Technical questions in meta-analysis of correlations -- chapter 6. Treatment effects : experimental artifacts and their impact -- chapter 7. Meta-analysis methods for d values -- chapter 8. Technical questions in meta-analysis of d values -- chapter 9. General technical issues in meta-analysis -- chapter 10. Cumulation of findings within studies -- chapter 11. Different methods of meta-analysis and related software -- chapter 12. Locating, evaluating, selecting, and coding studies and presentation of meta-analysis results -- chapter 13. Availability bias, source bias, and publication bias in meta-analysis -- chapter 14. Summary of psychometric meta-analysis.
Summary 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.
Notes Description based on MARC record for print version.
Other author Schmidt, Frank L., author.
Subject Social sciences -- Statistical methods.
Meta-analysis.
ISBN 9781483398105 (ebook) : No price