Applications of multilevel modeling typical in psychology and related disciplines. Estimation and interpretation of models for multilevel data structures, including data generated by clustered and longitudinal designs. Examination of conceptual, substantive, and methodological issues in analyzing multilevel data. Focus on appropriately conceptualizing, modeling, and reporting research on multilevel data. Training in the use of relevant statistical software. Mandatory weekly lab sessions. Assumes prior graduate training in applications of analysis of variance and multiple regression. Consent of instructor required.