Methods of meta-analysis : correcting error and bias in research findings / Frank L. Schmidt; John E. Hunter
Material type: TextPublication details: Los Angeles : SAGE, c2015.Edition: 3rd edDescription: xxxii, 639 p. : ill. ; 26 cmISBN:- 9781452286891
- 300.72 23
- HA29 .H847 2015
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai PHD Shelf | 300.72 SC ME (Browse shelf(Opens below)) | Available | T0051729 |
Includes bibliographical references (p. 577-609) and indexes.
Integrating research finding across studies -- Study artifacts and their impact on study outcomes -- Meta-analysis of correlations corrected individually for artifacts -- Meta-analysis of correlations using artifact distributions -- Technical questions in meta-analysis of correlations -- Treatment effects : experimental artifacts and their impact -- Meta-analysis methods for d values -- Technical questions in meta-analysis of d values -- General technical issues in meta-analysis -- Cumulation of findings within studies -- Different meta-analysis methods and related software -- Locating, evaluating, selecting, and coding studies and presentation of meta-analysis results.
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.
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