Methodological review demonstrates decision frameworks for single-group repeated measures analysis across statistical software, clarifying optimal test selection.
Repeated measures analysis is a widely used tool of applied statisticians. However, its users are confronted with what seems to be a myriad of decisions, even in its simple application. Should a univariate or a multivariate mode be used? Should an adjusted univariate test be used, and if so, which one? Should a pooled or partitioned error term be used? How important is the sphericity test? Given answers to these questions, which of three major statistical packages, and which programs within a package, could be used? These questions are discussed and resolved in this presentation.
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Barcikowski et al. (1984) studied this question.
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