Meta-Analysis: Quantitative Methods for Research Synthesis

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More About This Textbook

Overview

Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of independent studies for both group differences and correlations. Strengths and weaknesses of alternative approaches, as well as of meta-analysis in general, are presented.

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Product Details

Meet the Author

Dr. Wolf has over 20 years educational psychology/evaluation and measurement, medical education, and health services research. He is the Chair of the Department of Medical Education and Biomedical and Health Informatics, member NIH study sections, member international Cochrane Collaboration, former Visiting Scholar at UK Cochrane Centre and Green College, University of Oxford.

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Table of Contents

Series Editor's Introduction 5
Acknowledgments 7
1. Meta-Analysis and Synthesizing Research 9
Advantages of Meta-Analytic Literature Reviews 10
Illustrative Examples of Meta-Analysis 11
Criticisms of Meta-Analysis 14
Nonreview Applications of Procedures Used in Meta-Analysis 17
2. Combined Tests 18
Fisher Combined Test 18
Winer Combined Test 19
Stouffer Combined Test 20
Illustrative Numerical Examples 21
Selecting a Combined Test 23
3. Measures of Effect Size 23
Group Differences 24
Illustrative Numerical Example 25
Interpreting Effect Sizes for Studies of Group Differences 27
Correlational Relationships 28
Illustrative Numerical Example 30
Interpreting Effect Sizes for Correlational Studies 31
Selecting a Common Metric 33
Mediating Effects 34
4. Examining and Reducing Bias 37
Fail-Safe N and File Drawer Problem 37
Weighting Studies by Sample Size 39
Unbiased Estimate of Effect Size 40
Tests of Homogeneity 42
Homogeneity of Statistical Tests 43
Homogeneity of Effect Size 45
Studies with More Than One Statistic 46
Validity and Reliability Issues 48
5. Nonparametric Methods 50
Nonparametric Effect Size 50
Illustrative Numerical Example 51
6. Summary and Conclusions 53
Limitations of Meta-Analysis 53
Strengths of Meta-Analysis 54
Guidelines for Practice 55
References 57
About the Author 65
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