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