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Practical Meta-Analysis [Hardcover]

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  • Category: Books (Social Science)
  • Author:  Lipsey, Mark W., Wilson, David
  • Author:  Lipsey, Mark W., Wilson, David
  • ISBN-10:  0761921672
  • ISBN-10:  0761921672
  • ISBN-13:  9780761921677
  • ISBN-13:  9780761921677
  • Publisher:  SAGE Publications, Inc
  • Publisher:  SAGE Publications, Inc
  • Pages:  264
  • Pages:  264
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2000
  • Pub Date:  01-Jun-2000
  • SKU:  0761921672-11-MPOD
  • SKU:  0761921672-11-MPOD
  • Item ID: 100860884
  • Seller: ShopSpell
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  • Delivery by: Jul 01 to Jul 03
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What research designs and methodological features qualify a study for meta-analysis and which disqualify it? What types of research reports are appropriate for the meta-analysis? What is the cultural and linguistic range of the studies to be included? By integrating and translating the current methodological and statistical work into a practical guide, the authors address these questions to provide readers with a state-of-the-art introduction to the various approaches to doing meta-analysis.

What research designs and methodological features qualify a study for meta-analysis and which disqualify it? What types of research reports are appropriate for the meta-analysis? What is the cultural and linguistic range of the studies to be included? By integrating and translating the current methodological and statistical work into a practical guide, the authors address these questions to provide readers with a state-of-the-art introduction to the various approaches to doing meta-analysis.

A book that describes the steps involved in a meta-analysis in an easy-to-understand format (not just as a cookbook recipe) will be a useful addition to the literature. Practical Meta-Analysis aptly fills this niche.

Introduction
Problem Specification and Study Retrieval
Selecting, Computing and Coding the Effect Size Statistic
Developing a Coding Scheme and Coding Study Reports
Data Management
Analysis Issues and Strategies
Computational Techniques for Meta-Analysis Data
Interpreting and Using Meta-Analysis Results
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