Interval estimates of weighted effect sizes in the one-way heteroscedastic ANOVA

E. Kulinskaya, R. G. Staudte

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

A framework for comparing normal population means in the presence of heteroscedasticity and outliers is provided. A single number called the weighted effect size summarizes the differences in population means after weighting each according to the difficulty of estimating their respective means, whether the difficulty is due to unknown population variances, unequal sample sizes or the presence of outliers. For an ANOVA weighted for unequal variances, we find interval estimates for the weighted effect size. In addition, the weighted effect size is shown to be a monotone function of a suitably defined weighted coefficient of determination, which means that interval estimates of the former are readily transformed into interval estimates of the latter. Extensive simulations demonstrate the accuracy of the nominal 95% coverage of these intervals for a wide range of parameters.
Original languageEnglish
Pages (from-to)97-111
Number of pages15
JournalBritish Journal of Mathematical and Statistical Psychology
Volume59
Issue number1
DOIs
Publication statusPublished - May 2006

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