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EPSY 512 - Hierarchical Linear Models

Campus: Chicago


Parametric and semiparametric approaches to hierarchical linear modeling, for the analysis of continuous and categorical multivariate data. These approaches extend on classical linear regression analysis. Course Information: Extensive computer use required. Prerequisite(s): EPSY 546 or EPSY 547 or EPSY 563; and graduate or professional standing; or consent of the instructor or equivalent.

Special Instructions:

Restricted to students in the MESA program.

Academic Program Restrictions:

BS:Hlth Info Mgmt (Online)-UIC MED:Meas, Eval,Stat,Assess-UIC

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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