Statistics II

Catalog description

The theoretical basis of multivariate statistics is presented along with applications to psychology and health-related fields. Topics include data screening, linear algebra, multiple regression, the general linear model, resampling (bootstrapping) procedures, multivariate analysis of variance and covariance, discriminant function analysis, principal component analysis, nonparametric techniques, logistic regression, and multilevel linear modeling. The SPSS statistical package is covered and quizzes, homework assignments, and tests are based on this software. Prerequisite(s): PSA 6280 may be taken as a prerequisite or corequisite.