EPSY 512 - Hierarchical Linear Models
Campus: Chicago
Description:
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): 0Course Level: Graduate
Credit: 4
Term(s): Spring
