The article discusses different ways to analyze repeated measures in scientific studies. It compares three methods: multivariate models, traditional anova models, and linear mixed models. The researchers show the advantages and disadvantages of each method using Stata code. They use a split-plot factorial design with one between-subjects factor and one repeated factor to illustrate the three approaches.