— Applied Multivariate Analysis of Psychological Data
Review of the major methods of multivariate data analysis for psychological data. Students will program statistical routines using a linear algebra-based computing language. Topics will include multivariate analysis of variance. discriminant analysis, canonical analysis factor analysis, and component analysis.
Prerequisites & course information
Course Description: Review of the major methods of multivariate data analysis for psychological data. Students will program statistical routines using a linear algebra-based computing language. Topics will include multivariate analysis of variance. discriminant analysis, canonical analysis factor analysis, and component analysis. Learning Activities: Lecture 4 hour(s). Credit Limitation(s): Not open for credit to students who have completed PSC 207B. (Former PSC 207B.) Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Credit Limitation(s): Not open for credit to students who have completed PSC 207B. (Former PSC 207B.) Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027