A Comparison of Two Rank Tests for Repeated Measure Designs

Authors

Tian Tian, University of Southern California
Rand R. Wilcox, University of Southern CaliforniaFollow

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.

DOI

10.22237/jmasm/1177993800