In pretest-posttest nonequivalent group designs, naive use of analysis of covariance or multiple regression can lead to Type I errors. In the evaluation of a Title IV-C, ESEA project, thorough analysis of the interaction term of a repeated model analysis of variance was shown to help identify areas of significant change. Meaningful differences were also supported by the standardized difference score, Effect Size. It was suggested that a two-fold increase of Effect Size from pretest to posttest might be an effective guide in the determination of meaningfully significant change.