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PSYC 5417 [0.5 credit] Categorical Data Analysis

This course will provide students with an in-depth understanding of several statistical techniques that can be used to analyze categorical data. Topics include contingency tables, log-linear analysis, logistic regression analysis with categorical predictors, continuous predictors, and interaction terms, and receiver operator characteristic (ROC) analysis.
Includes: Experiential Learning Activity
Prerequisite(s): PSYC 5410 or permission of the department.