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Methods of Meta-Analysis
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Methods of Meta-Analysis
Correcting Error and Bias in Research Findings

Third Edition
Courses:
Meta-Analysis
March 2014 | 672 pages | SAGE Publications, Inc
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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.
 
PART I: INTRODUCTION TO META-ANALYSIS
 
1. Integrating Research Finding Across Studies
 
2. Study Artifacts and Their Impact on Study Outcomes
 
PART 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
 
PART 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
 
PART IV: GENERAL ISSUES IN META-ANALYSIS
 
9. General Technical Issues in Meta-Analysis
 
10. Cumulation of Findings Within Studies
 
11. Different Meta-Analysis Methods and Related Software
 
12. Locating, Evaluating, Selecting, and Coding Studies and Presentation of Meta-Analysis Results
 
13. Availability Bias, Source Bias, and Publication Bias in Meta-Analysis
 
14. Summary of Psychometric Meta-Analysis

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The text is of eminent importance for everybody that deals with the topic of meta-analysis. With respect to the increasing importance and impact of meta-analyses in several research fields, I used this text to introduce the methods for correcting results for biases and errors in my undergraduate course. The examples further provided the students with a deeper understanding of the method.

Mr Michael Koenig
Innovationsinkubator, Leuphana Universitat Luneburg
May 8, 2014
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Key features

NEW TO THIS EDITION:

  • Expanded end-of-chapter exercises help readers and researchers apply their knowledge.
  • Includes a full description of an improved Windows-based meta-analysis software package for applying the meta-analysis methods presented in the book..
  • An expanded discussion of the issues involved in path analyses based on meta-analytic correlation matrices has been added.
  • Includes an improved presentation of methods for conducting meta-analysis of d values when artifacts beyond sampling error and measurement error are corrected for.
  • Now includes new detailed discussions of such issues as detecting and calibrating moderators in meta-analysis, statistical problems in the use of meta-regression, the debate over optimal study weights in meta-analysis, second order sampling error in meta-analysis, and more.
  • Presents a new method for conducting second order meta-analysis, along with  two exercises requiring application of this new method.
  • Contains an updated discussion of SEM-based meta-analysis.
  • A new discussion of how the results of meta-analyses should be presented in research reports has been added.

KEY FEATURES:

  • The in-depth and reader-friendly explanations of meta-analysis are invaluable in the study of meta-analysis.
  • Layered presentation, with separate sections for simple and technical material, allows for comprehension of readers of all levels.
  • Meta-analysis methods are presented that not only correct for sampling error but for other artifacts as well, such as measurement error, range restriction, dichotomization of measures, and others.
  • Convenient Windows-based software package can be used to apply the methods presented in the book.

Sample Materials & Chapters

Chapter 1

Chapter 9

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