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PubMed · 16383087

One-sided nonparametric tests for ordinal data.

Markus Neuhäuser
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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.

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Data Interpretation, StatisticalHumansMonte Carlo MethodPsychology, ExperimentalReproducibility of ResultsStatistics, NonparametricComparative StudyJournal Article

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BibTeXRIS

Markus Neuhäuser. 2005. One-sided nonparametric tests for ordinal data.. https://doi.org/10.2466/pms.101.2.510-514

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