SOC WL / CSSS 589: Multivariate Data Analysis for the Social Sciences
Posted: 8/16/2016 (Local Events)
Multivariate analysis aims to summarize and describe patterns among multiple observed characteristics. This course provides a theoretical introduction and practical skills to carry out multivariate analysis methods such as cluster analysis, principal components, factor analysis, and latent class analysis.
Prerequisites: SOC 504-505-506 or equivalent
For inquiries, please contact Elena Erosheva at firstname.lastname@example.org.
Time: Fall Quarter
Location: University of Washington