Psychology | Multivariate Analysis
P654 | 3826 | J. Busemeyer


Content:  Introduction to multivariate analysis of variance, principle
component analysis, discriminant function analysis, and latent
structural equation modeling (including factor analysis).
Applications selected from a wide range of areas including measurement
theory, longitudinal data analysis, classification theory, and
repeated measures designs.

Evaluation:  Grades will be based on bi-weekly homework assignments
that involve statistical analyses using SAS or SPSS and written
reports.

Requirements:  P553 and P554 or equivalent training in basic
statistical theory, regression, and analysis of variance.  Programming
will be introduced in labs so that familiarity with statistical
packages is not required.

Text:  Tabachnick & Fidell (1996) Using multivariate statistics.
Notes will be available on the World Wide Web.