Affiliation:
1. The University of Akron
Abstract
A new approximation is proposed for testing the equality of k independent means in the face of heterogeneity of variance. Monte Carlo simulations show that the new procedure has Type I error rates that are very nearly nominal and Type II error rates that are quite close to those produced by James’s (1951) second-order approximation. In addition, it is computationally the simplest approximation yet to appear, and it is easily applied to Scheffé (1959) -type multiple contrasts and to the calculation of approximate tail probabilities.
Publisher
American Educational Research Association (AERA)
Subject
Linguistics and Language,Anthropology,History,Language and Linguistics,Cultural Studies
Cited by
62 articles.
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