2007•Journal of Modern Applied Statistical MethodsOpen access

Application of a New Procedure for Power Analysis and Comparison of the Adjusted Univariate and Multivariate Tests in Repeated Measures Designs

Sean W. Mulvenon, M. Austin Betz, Kening Wang, Bruno D. Zumbo

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Abstract

A relationship between the multivariate and univariate noncentrality parameters in repeated measures designs was developed for the purpose of assessing the relative power of the univariate and multivariate approaches. An application is provided examining the use of repeated measures designs to evaluate student achievement in a K-12 school system

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A relationship between the multivariate and univariate noncentrality parameters in repeated measures designs was developed for the purpose of assessing the relative power of the univariate and multivariate approaches. An application is provided examining the use of repeated measures designs to evaluate student achievement in a K-12 school system

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A relationship between the multivariate and univariate noncentrality parameters in repeated measures designs was developed for the purpose of assessing the relative power of the univariate and multivariate approaches. An application is provided examining the use of repeated measures designs to evaluate student achievement in a K-12 school system

Key concepts: Univariate, Multivariate statistics, Statistics, Mathematics, Multivariate analysis, Repeated measures design, Multivariate analysis of variance, Econometrics

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