Repeated-measures designs: Univariate or multivariate analysis of variance?

Violation of the sphericity assumption in repeated-measures analysis of variance can lead to positively biased tests, i.e., the likelihood of a Type I error exceeds the alpha level set by the user. Two widely applicable solutions exist, the use of an epsilon-corrected univariate analysis of Variance or the use of a multivariate anaIysis of variance. It is argued that the latter method offers advantages over the former.