A Comparison of Two Rank Tests for Repeated Measure Designs
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May 1, 2007
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Tian Tian
University of Southern California
Rand R. Wilcox
University of Southern California
Abstract
This article compares the small-sample properties of the Agresti-Pendergast and the ATS rank-based method, as described in Brunner, Domh, and Langer (2002), for comparing J dependent groups. The results indicate that the Type I error of the Agresti-Pendergast method is more conservative when J = 2 , but under most conditions, the ATS method performs best in terms of both Type I errors and power.
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