This presentation will give an overview of the three main approaches to analyzing repeated measures analysis of variance: 1) Multivariate models, 2) traditional anova models, and 3) linear mixed models along with discussion of the advantages and disadvantages of each. The presentation includes Stata code using manova, anova, regress and xtmixed. The three approaches are illustrated through the use of a split-plot factorial design with one between-subjects factor and one repeated factor.
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