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Sawilowsky, S.S. (1990). Nonparametric test of interaction in experimental design. Review of Educational Research, 60(1), 91-126.

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Article

Robustness and Power of the Kornbrot Rank Difference, Signed Ranks, and Dependent Samples T-test

1Department of Evaluation and Research, Wayne State University, Detroit, USA


American Journal of Applied Mathematics and Statistics. 2013, Vol. 1 No. 5, 99-102
DOI: 10.12691/ajams-1-5-4
Copyright © 2013 Science and Education Publishing

Cite this paper:
Norman N. Haidous, Shlomo S. Sawilowsky. Robustness and Power of the Kornbrot Rank Difference, Signed Ranks, and Dependent Samples T-test. American Journal of Applied Mathematics and Statistics. 2013; 1(5):99-102. doi: 10.12691/ajams-1-5-4.

Correspondence to: Norman  N. Haidous, Department of Evaluation and Research, Wayne State University, Detroit, USA. Email: ac6702@wayne.edu

Abstract

The purpose of the study was to compare the power and accuracy of the Kornbrot rank difference test to classical parametric and nonparametric alternatives when the assumption of normality is not met, the data are ordinal, and the sample size is small. Although the procedure is robust, there was no evidence the rank difference test had power advantages over Wilcoxon Signed-Ranks test.

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