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

By: Contributor(s): Material type: TextTextPublisher: Thousand Oaks, Calif. : Sage, [2004]Copyright date: ©2004Edition: Second editionDescription: xxxiii, 582 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 1412909120
  • 9781412909129
  • 141290479X
  • 9781412904797
Subject(s): DDC classification:
  • 300.72 22
LOC classification:
  • HA29 .H847 2004
Contents:
Pt. I. Introduction to meta-analysis -- 1. Integrating research findings across studies -- 2. Study artifacts and their impact on study outcomes -- Pt. II. Meta-analysis of correlations -- 3. Meta-analysis of correlations corrected individually for artifacts -- 4. Meta-analysis of correlations using artifact distributions -- 5. Technical questions in meta-analysis of correlations -- Pt. III. Meta-analysis of experimental effects and other dichotomous comparisons -- 6. Treatment effects : experimental artifacts and their impact -- 7. Meta-analysis methods for d values -- 8. Technical questions in meta-analysis of d values -- Pt. IV. General issues in meta-analysis -- 9. General technical issues in meta-analysis -- 10. Cumulation of findings within studies -- 11. Methods of integrating findings across studies and related software -- 12. Locating, evaluating, and coding studies -- 13. Availability and source bias in meta-analysis -- 14. Summary of psychometric meta-analysis.
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Includes bibliographical references (pages 527-562) and index.

Pt. I. Introduction to meta-analysis -- 1. Integrating research findings across studies -- 2. Study artifacts and their impact on study outcomes -- Pt. II. Meta-analysis of correlations -- 3. Meta-analysis of correlations corrected individually for artifacts -- 4. Meta-analysis of correlations using artifact distributions -- 5. Technical questions in meta-analysis of correlations -- Pt. III. Meta-analysis of experimental effects and other dichotomous comparisons -- 6. Treatment effects : experimental artifacts and their impact -- 7. Meta-analysis methods for d values -- 8. Technical questions in meta-analysis of d values -- Pt. IV. General issues in meta-analysis -- 9. General technical issues in meta-analysis -- 10. Cumulation of findings within studies -- 11. Methods of integrating findings across studies and related software -- 12. Locating, evaluating, and coding studies -- 13. Availability and source bias in meta-analysis -- 14. Summary of psychometric meta-analysis.

Machine converted from AACR2 source record.

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