Currently there are at least four pretreatment-posttreatment (pre-post) difference score methods for determining client change. A fifth model, based on a random effects model and multiwave data, represents a growth curve approach and was hypothesized to be more sensitive to detecting significant (p<.05) change than pre-post models. Compares change rates produced by the five methods in a test sample. (KW)