Multivariate Analysis

Catalog description

Three hours seminar and three hours laboratory per week Prerequisite(s): Admission into Psychology, M.A. program or Consent of instructor An applied overview of multivariate data analysis. Topics include multiple regression, logistic regression, discriminant analysis, canonical correlation analysis, exploratory and confirmatory factor analysis, cluster analysis, multivariate analysis of variance and covariance, path analysis, and an introduction to structural equation modeling.