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.
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.
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.
Inhaltsangabe
Meta-Analysis and Synthesizing Research Combined Tests Measures of Effect Size Examining and Reducing Bias Nonparametric Methods Summary and Conclusions
Meta-Analysis and Synthesizing Research Combined Tests Measures of Effect Size Examining and Reducing Bias Nonparametric Methods Summary and Conclusions
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