Multivariate Statistics for Social Sciences
S&DS S363E (CRN: 30262) | Syllabus
Instructors: Jonathan Reuning-Scherer
Dates: Session A, May 26 - June 27, 2025
Course Mode: Online
Meeting Times: MWF 10.00-11.00
Distributional Requirements: Quantitative Reasoning
Eligibility: Open to college students only
Online Course. Introduction to the analysis of multivariate data with examples from various disciplines. Topics include principal components analysis, factor analysis, cluster analysis (hierarchical clustering, k-means), discriminant analysis, multidimensional scaling, and structural equations modeling. Extensive use of the R programming language, with examples in SAS and SPSS as well. This course will cover the theory behind each procedure but is primarily an applied course. Prerequisite: At least two prior statistics courses, including an introductory course covering basic inferential procedures, and an additional course covering linear models such as S&DS 230, S&DS 230e, S&DS 312, etc. Prior experience with calculus and linear algebra is helpful but not required. Enrollment limited to 50 students. For college students and beyond. 1 Credit. Session A: May 26 – June 27. Tuition: $5270. Technology Fee: $85.
Yale Summer Session 2025