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

Includes bibliographical references (pages 527-562) and indexes.

Integrating 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.

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, the text includes new these new additions: an evaluation of fixed versus random effects models for meta-analysis; new methods for correcting for indirect range restriction in meta-analysis; new developments in corrections for measurement error; a discussion of a new Windows-based program package for applying the meta-analysis methods presented in the book; a presentation of the theories of data underlying different approaches to meta-analysis.