Professor:
Day / time:
Tuesday, Thursday 1:00pm - 2:15pm
Undergraduate
Graduate
Course term:
Spring
Introduction to the analysis of multivariate data as applied to examples from the social sciences. Topics include principal components analysis, factor analysis, cluster analysis (hierarchical clustering, k-means), discriminant analysis, multidimensional scaling, and structural equations modeling. Extensive computer work using either SAS or SPSS programming software.
Prerequisites: knowledge of basic inferential procedures and experience with linear models.