STAT 363 - bG ,Multivariate Statistics for Social Sciences

Institution:

Yale University

Subject:

Description:

Jonathan Reuning-Scherer. tth1-2.15 QR (0) 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.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.yale.edu

Phone Number:

(203) 432-4771

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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