The University of Texas at Austin 3 credits Social Work
Provides an introduction to the basic concepts and applications of Hierarchical Linear Modeling (HLM). Subjects will include multilevel data structures, model building and testing, fixed and random effects, and interpretation of results. Social Work 388R (Topic 12) and 395K (Topic: Hierarchical Linear Modeling) may not both be counted. Pre/Corequisites: Regression analysis using SAS; a pre-test to demonstrate SAS knowledge may be required; and for non-social work majors, graduate standing and consent of instructor. Restrictions: Restricted to doctoral students.
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