Application of a New Procedure for Power Analysis and Comparison of the Adjusted Univariate and Multivariate Tests in Repeated Measures Designs
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May 1, 2007
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Sean W. Mulvenon
University of Arkansas
M. Austin Betz
Arizona State University
Kening Wang
University of Arkansas
Bruno D. Zumbo
University of British Columbia
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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