The article discusses how to analyze experiments with repeated measurements and multiple outcomes. It explains different methods for comparing means in these designs, such as traditional ANOVA and MANOVA for one outcome, and Multivariate Mixed Model and Doubly Multivariate analyses for multiple outcomes. These methods help researchers understand differences between groups in studies with repeated measurements and multiple variables.