Heterogeneity of variance in clinical data.

Abstract:

: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.

journal_name

J Consult Clin Psychol

authors

Grissom RJ

doi

10.1037//0022-006x.68.1.155

keywords:

subject

Has Abstract

pub_date

2000-02-01 00:00:00

pages

155-65

issue

1

eissn

0022-006X

issn

1939-2117

journal_volume

68

pub_type

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