Multivariate analysis aims to summarize and describe patterns among multiple observed characteristics. Explores theoretical introduction and practical skills to carry out multivariate analysis methods such as cluster analysis, principal components, factor analysis, and latent class analysis. Prerequisite: SOC 504, SOC 505, or SOC 506. Offered: jointly with SOC WL 589; A.
Course Name
Multivariate Data Analysis for the Social Sciences
Credits
4
Quarter(s)
Spring
