title: One-sided nonparametric tests for ordinal data.
abstract: Baumgartner, Weiss, and Schindler (1998) introduced a novel non-parametric test for the two-sample comparison that is superior to commonly used tests such as the Wilcoxon rank-sum test. A modification of the novel test statistic can be used for one-sided comparisons based on ordinal data. Such comparisons frequently occur in psychological research, and the Wilcoxon test is often recommended for their analysis. Here, the two tests were compared in a simulation study. According to this study the tests have a similar type I error rate, but the modified Baumgartner-Weiss-Schindler test is more powerful than the Wilcoxon test.
authors.affiliation: Institute for Medical Informatics, Biometry, and Epidemiology, University of Duisburg-Essen, Hufelandstr. 55, D-45122 Essen, Germany. markus.neuhaeuser@medizin.uni-essen.de
authors.forename: Markus
authors.initials: M
authors.lastname: Neuhäuser
mesh_terms: D003627:Data Interpretation, Statistical; D006801:Humans; D009010:Monte Carlo Method; D011589:Psychology, Experimental / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D018709:Statistics, Nonparametric