This site uses cookies. By continuing to use this site, closing this banner, or clicking "I Agree", you agree to the use of cookies.
Read our cookies policy and privacy statement for more information.
Stand with UkraineDonate
- Home
- California
- University of California-Davis
- Course info
- psc-205a - applied-multivariate-analysis-of-psychological-data
University of California-Davis Course Info
Davis, California•
10 reviews
Course Info
Search for courses by clicking on letters of the alphabet or by using a search bar. Explore course description, number of credits required and course sequences to satisfy graduation requirements.
PSC 205A
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.
Units: 4.0
Hours: Lecture—4 hour(s).
Prerequisites:
PSC 204D - Advanced Statistical Inference from Psychological Experiments
and
PSC 204B - Causal Modeling of Correlational Data
and
PSC 204A - Statistical Analysis of Psychological Experiments