Multi-Level Modeling Applications in Psychology

This course is designed to provide graduate students in Psychology with the background and skills to be able to interpret and conduct multi-level data analysis. Hierarchical linear modeling (HLM) software will be used for instruction and assignments. Conceptual issues with multi-level data and theory will also be addressed. Applications may involve data concerning work groups in organizations, romantic couples, individual change over time (as in learning growth curves), and event-level associations of mood states with other variables (as in "diary" studies). Extensions to 3-level models and to "non-linear" models (e.g., for count and rate data) will also be discussed.