Explores linear modeling from both conceptual and applied perspectives. Focuses on ANOVA, including multi-factor designs, post-hoc testing, and analysis of covariance, as well as on regression, including univariate and multivariate regression, polynomial and interaction models, logistic regression, and related diagnostics. Three lecture hours a week for one semester. Only one of the following may be counted: Psychology 384K, 385J, 394T (Topic: Linear Models: Regression Anova). Prerequisite: Graduate standing and consent of instructor.