Multiple Comparison Procedures, Trimmed Means And Transformed Statistics

Authors

Rhonda K. Kowalchuk, Southern Illinois University CarbondaleFollow
H. J. Keselman, University of ManitobaFollow
Rand R. Wilcox, University of Southern CaliforniaFollow
James Algina, University of FloridaFollow
James Algina, University of FloridaFollow
James Algina, University of FloridaFollow

Abstract

A modification to testing pairwise comparisons that may provide better control of Type I errors in the presence of non-normality is to use a preliminary test for symmetry which determines whether data should be trimmed symmetrically or asymmetrically. Several pairwise MCPs were investigated, employing a test of symmetry with a number of heteroscedastic test statistics that used trimmed means and Winsorized variances. Results showed improved Type I error control than competing robust statistics.

DOI

10.22237/jmasm/1146456300