Journal
JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY
Volume 68, Issue 1, Pages 155-165Publisher
AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/0022-006X.68.1.155
Keywords
-
Categories
Ask authors/readers for more resources
Traditional parametric (t, F) and nonparametric (Mann-Whitney-Wilcoxon U, Kruskal-Wallis H) statistics are sensitive to heterogeneity of variance (heteroscedasticity). Moreover, there are theoretical reasons to expect, and empirical results to document, the existence of heteroscedasticity in clinical data. Transformations to reduce heteroscedasticity are problematic. This article reviews the literature on robust methods that are available and that should be widely used to control rate of Type I error and maintain power. No one robust method is ideal for all situations, but such methods are superior to the traditional tests. Specific recommendations are made for application under various conditions of heteroscedasticity.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available