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PSYC 6602 Analysis with Missing Data (Fall/Spring: 3 )

Course Description

This course is to provide an introduction to the theory and application of analytic strategies for analyzing data with missing values. The course will cover traditional and modern approaches to dealing with missing data. SAS and Mplus will be used as primary software packages. Students must have completed graduate level courses in multiple regression and structural equation modeling.

Instructor(s): Ehri Ryu

Prerequisites: None

Cross listed with:


Last Updated: 24-Jun-17