This chapter will focus on categorical predictor variables. So far, we have primarily discussed how to model the relationship between a continuous predictor, typically time, and a continuous outcome, such as Disability Rating Scale score. However, like most studies in the psychological and neural sciences, the examples have typically also included a categorical predictor that had discrete levels, such as control vs. treatment or high vs. low frequency.