Tests for Treatment Group Equality When Data are Nonnormal and Heteroscedastic

Authors

Robert A. Cribbie, York University
Rand R. Wilcox, University of Southern CaliforniaFollow
Carmen Bewell, York University
H. J. Keselman, University of Manitoba

Abstract

Several tests for group mean equality have been suggested for analyzing nonnormal and heteroscedastic data. A Monte Carlo study compared the Welch tests on ranked data and heterogeneous, nonparametric statistics with previously recommended procedures. Type I error rates for the Welch tests on ranks and the heterogeneous, nonparametric statistics were well controlled with a slight power advantage for the Welch tests on ranks.

DOI

10.22237/jmasm/1177992660