MGS 9960 - Multivariate Data Analysis

3 Hours
Multivariate data analysis is illustrated for data re- duction, quasi-experimentation, and true experimentation. Critical assessment of published research is the key goal. Among various techniques covered are multivariate hypothesis testing, principal components analysis, factor analysis, cluster analysis, discriminant analysis, canonical analysis, multivariate analysis of variance, and multivariate analysis of covariance.

Prerequisite(s): MGS 9950.
Corequisite(s): None.
Pre/Corequisite(s): None.
Requirements: None.