Psychology | Multivariate Analysis
P654 | 3688 | 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
Text:  Johnson & Wichner, Applied Multivariate Statistical Analysis.
Notes will be available on the World Wide Web.