PSYC 6605 Introduction to Multivariate Statistical Methods (Fall/Spring: 3 )
Topics covered in this class include: Matrix algebra and basic concepts in multivariate statistics; Exploratory factor analysis of continuous, dichotomous and ordered categorical data with analytic rotation; Principle component analysis; Discriminant analysis; Correspondence analysis; Clustering; Multidimensional scaling. SPSS and R will be the main computational tool. Students should have taken a graduate level linear regression class before enrolling this class.
Instructor(s): Hao Wu
Last Updated: 24-Jun-17