EPSY 6230 - Theory and Application of Hierarchical Linear Modeling

3 hours

Introduces the theory and application of hierarchical linear models, how to use hierarchical linear models (HLMs) to answer research questions for cross-sectional and longitudinal data. Hierarchical linear models are linear multiple regression models typically used with data that violate the assumption of independent observations. HLM appropriately handles the violation, and also provides the tools for testing hypotheses in research designs with multilevel data structure.

Prerequisite(s): EPSY 6210 or equivalent as approved by the department.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $23.30