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An Estimate of Effect Size Based on the Mann-Whitney Statistic

Published

Author(s)

James H. Yen

Abstract

Meta analysis, the statistical synthesis of results from several different studies, often involves combining estimates of effect sizefrom several experiments. The standardized mean difference is one of the most commonly used estimates of effect size; however, when the data are not normally distributed, nonparametric effect size estimates may be preferable. This paper presents a nonparametric estimate of effect size based on the Mann Whitney test that combines excellent efficiency with robustness. In addition, estimates of variance and confidence interval procedures for this estimator are provided
Citation
Biometrics

Keywords

meta-analysis, nonparametrics, robust statistics, wolcoxon test

Citation

Yen, J. (2008), An Estimate of Effect Size Based on the Mann-Whitney Statistic, Biometrics (Accessed July 16, 2024)

Issues

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Created October 16, 2008