The method of using person vectors in regression analysis to test repeated measures hypotheses or questions is discussed. These hypotheses involve designs with pre and post scores with one group and with multiple groups. Based on these analyses with person vectors, there are two major focuses of the paper: a proposed solution to the problem of missing data in repeated measures designs, and the use of selected covariates as an alternative to person vectors in controlling for differences between individuals. (Author)