PSY 304 Multivariate Statistics

Is designed to introduce students to the fundamental principles of multivariate statistical analysis. Possible topics to be covered include multivariate data screening, analysis of covariance, MANOVA, discriminant analysis, cluster analysis, multi- dimensional scaling, factor analysis, profile analysis, path analysis, structural equation modeling, hierarchical linear modeling, and meta analysis.

Credits

3

Prerequisite

PSY 204