Empirical comparison of univariate and multivariate analysis of variance procedures

Thomas J. Hummel, Joseph R. Sligo

Research output: Contribution to journalArticlepeer-review

249 Scopus citations

Abstract

Describes a monte carlo study in which univariate and multivariate analysis of variance procedures are used either singly or in combination to form 3 approaches to the analysis of multivariate normal data. Comparisons among the approaches are made with respect to the error rates/comparison, in relation to experiments error rates, and average number of errors in experiments with at least 1 error which were obtained when data generated under 36 combinations of sample size, number of variables, and proportion of variance in common were analysed. The approach consisting of a multivariate analysis of variance followed by univariate analyses of variance is recommended as being the most useful. (PsycINFO Database Record (c) 2006 APA, all rights reserved).

Original languageEnglish (US)
Pages (from-to)49-57
Number of pages9
JournalPsychological Bulletin
Volume76
Issue number1
DOIs
StatePublished - Jul 1 1971

Keywords

  • univariate & multivariate analysis of variance procedures, empirical comparison

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