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Meta-analysis : quantitative methods for research synthesis / Fredric M. Wolf.
LIBRA HA31.4 .W64 1986
Available from offsite location
Annenberg Library - Reference HA31.4 .W64 1986
Available
- Format:
- Book
- Author/Creator:
- Wolf, Fredric M. (Frederic Marc)
- Series:
- Quantitative applications in the social sciences ; no. 07-059.
- Sage university papers series. Quantitative applications in the social sciences ; no. 07-059
- Language:
- English
- Subjects (All):
- Meta-analysis.
- Social sciences--Statistical methods.
- Social sciences.
- Physical Description:
- 65 pages : illustrations ; 26 cm.
- Place of Publication:
- Beverly Hills : Sage Publications, [1986]
- Summary:
- 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.
- Contents:
- 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
- Limitations of Meta-Analysis 53
- Strengths of Meta-Analysis 54
- Guidelines for Practice 55.
- Notes:
- Bibliography: pages 57-64.
- ISBN:
- 0803927568
- OCLC:
- 13414995
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