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A Bootstrap Modification of the Alexander-Govern ANOVA Method, Plus Comments on Comparing Trimmed MeansUniversity of Southern California This article reports some results on how the Alexander-Govern heteroscedastic analysis of variance procedure performs under non-normality. It is illustrated that this method can provide poor control over the probability of a Type I error and that there are situations in which power decreases as the the differences among the means get large. Included are some results on how the Alexander-Govern procedure might be improved using a particular form of the bootstrap method advocated by Westfall and Young. For comparative purposes, some new results on comparing trimmed means are reported as well.
Educational and Psychological Measurement, Vol. 57, No. 4,
655-665 (1997) |
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