This chapter will describe three different within-subjects procedures that the General Linear Model-Repeated Measures procedure may compute. The first is a completely within-subjects design, in which each subject experiences every experimental condition and produces values for each cell in the design. Mixed-design analyses are then described, in which one or more of the independent variables are within subjects, and one or more are between subjects. This example also includes a covariate. Finally, doubly multivariate designs are discussed. Doubly multivariate designs are similar to standard within-subjects designs, except that there are multiple dependent variables tested within subjects.