This is a graduate-level course on multilevel modeling, a popular statistical approach in social, behavioral, and health sciences research. Multilevel modeling, also known as hierarchical linear ...

This course covers multilevel statistical models, which are increasingly being used in the social sciences to analyze clustered data. The course will introduce students to the theory and concepts of ...

Multilevel Modeling, Spring 2017 Multilevel Modeling, Spring 2017 Multilevel Modeling Presenter: Dr. Imran Khan Location: Muenzinger E131 Time: Tuesday, April 18, 5:00 - 7:00 PM Register for course ...

Results suggest that nonlinear multilevel latent variable modeling can more properly estimate and detect contextual effects than the traditional approach. As an empirical illustration, data from the ...

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as ...