Methods of meta-analysis : correcting error and bias in research findings

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Title:

Author:

Hunter, John E. (John Edward), 1939-2002.

ISBN:

9781452286891

Personal Author:

Hunter, John E. (John Edward), 1939-2002.

Edition:

Third edition.

Physical Description:

pages cm.

Contents:

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.

Subject Term:

Social sciences -- Statistical methods.

Meta-analysis.

Added Author:

Schmidt, Frank L.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025591690	300.72 H945M 2015	1	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168025594652	300.72 H945M 2015	2	Searching... Unknown

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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. 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.