Multilevel and Longitudinal Modeling

3 units

This course is an advanced statistics seminar intended for graduate students in social work, public health, health or social sciences. This course covers hierarchical linear modeling techniques that are used to build and test multilevel and longitudinal statistical models. This course will be of interest to anybody who wants to know how to analyze contextual, ecological, and longitudinal data. The course will review both the conceptual issues and methodological issues in using hierarchical linear modeling by working with several real public health and social science data sets. Topics include: fitting and testing two-level and three-level models; evaluating model fit; generalizing multilevel models to binary and other special data; building simple longitudinal models; advanced error covariance structures. Prior enrollment in a graduate level regression or general linear modeling class in strongly encouraged.