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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

Time: Fall Quarter

Location: University of Washington