Abstract
The present paper provides an introductory exposure to different approaches currently available for analyzing data generated through repeated measurements of a phenomenon of interest. Even univariate repeated measures data can be analyzed by employing univariate or multivariate data analytic strategies. Both univariate and multivariate methods can be valuable under certain conditions and when various assumptions are met. The present paper examined both univariate and multivariate approaches to analyzing repeated measures data and compared the results of these methods with classical ANOVA and multiple regression analyses. A small heuristic data set was utilized to make the discussion concrete and to facilitate conceptual understanding of the material.

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Copyright (c) 2002 Kevin M. Kieffer, James A. Haley (Author)