|aMethods of meta-analysis :|bcorrecting error and bias in research findings /|cJohn E. Hunter, Frank L. Schmidt.
|aThousand Oaks, Calif. :|bSage,|cc2004.
|axxxiii, 582 p. :|bill. ;|c27 cm.
|aIncludes bibliographical references (p. 527-562) and indexes.
|aIntegrating research findings 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 -- 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 -- Methods of integrating findings across studies and related software -- Locating, evaluating, and coding studies -- Availability and source bias in meta-analysis -- Summary of psychometric meta-analysis.
|aSocial sciences|xStatistical methods.
|aSchmidt, Frank L.
|3Table of contents only|uhttp://www.loc.gov/catdir/toc/ecip0411/2003026057.html
Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years. Developed to offer researchers an informative account of which methods are most useful in integrating research findings across studies, this book will enable the reader to apply, as well as understand, meta-analytic methods. Rather than taking an encyclopedic approach, the authors have focused on carefully developing those techniques that are most applicable to social science research, and have given a general conceptual description of more complex and rarely-used techniques. Fully revised and updated, Methods of Meta-Analysis, Second Edition is the most comprehensive text on meta-analysis available today.