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PSYC 6605 Introduction to Multivariate Statistical Methods (Fall/Spring: 3 )


Course Description

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

Prerequisites: PSYC5502.

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Last Updated: 24-Jun-17