Meta-Analysis: Quantitative Methods for Research Synthesis

Meta-Analysis: Quantitative Methods for Research Synthesis

by Fredric (Fred) M. Wolf
     
 

ISBN-10: 0803927568

ISBN-13: 9780803927568

Pub. Date: 04/28/1986

Publisher: SAGE Publications

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

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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.

Product Details

ISBN-13:
9780803927568
Publisher:
SAGE Publications
Publication date:
04/28/1986
Series:
Quantitative Applications in the Social Sciences Series, #59
Edition description:
New Edition
Pages:
72
Product dimensions:
5.50(w) x 8.50(h) x (d)

Table of Contents

Series Editor's Introduction5
Acknowledgments7
1.Meta-Analysis and Synthesizing Research9
Advantages of Meta-Analytic Literature Reviews10
Illustrative Examples of Meta-Analysis11
Criticisms of Meta-Analysis14
Nonreview Applications of Procedures Used in Meta-Analysis17
2.Combined Tests18
Fisher Combined Test18
Winer Combined Test19
Stouffer Combined Test20
Illustrative Numerical Examples21
Selecting a Combined Test23
3.Measures of Effect Size23
Group Differences24
Illustrative Numerical Example25
Interpreting Effect Sizes for Studies of Group Differences27
Correlational Relationships28
Illustrative Numerical Example30
Interpreting Effect Sizes for Correlational Studies31
Selecting a Common Metric33
Mediating Effects34
4.Examining and Reducing Bias37
Fail-Safe N and File Drawer Problem37
Weighting Studies by Sample Size39
Unbiased Estimate of Effect Size40
Tests of Homogeneity42
Homogeneity of Statistical Tests43
Homogeneity of Effect Size45
Studies with More Than One Statistic46
Validity and Reliability Issues48
5.Nonparametric Methods50
Nonparametric Effect Size50
Illustrative Numerical Example51
6.Summary and Conclusions53
Limitations of Meta-Analysis53
Strengths of Meta-Analysis54
Guidelines for Practice55
References57
About the Author65

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