Stats 3: Hierarchical Linear Modeling

Catalog description

The course provides an introduction to the basic concepts and applications of hierarchial linear models (HLM). Research data in the social sciences ae often grouped in ways that impact our statistical analyses (e.g., marital status, school/clinic/hospital setting, repeated treatment sessions). The course will cover growth curve modeling and meta-analysis as well as introduce models for dichotomous outcomes. The objective of the course is to provide students with an understanding of when and why HLM should be used and how to effectively apply the models to answer questions.