Multivariate Methods and Analyses

Catalog description

This course is designed introduce doctoral students to statistical methodology as it pertains to the study of multivariate techniques used in the behavioral sciences. The course will cover a range of statistical procedures and programs for multivariate data analysis. The focus is on practical issues such as selecting the appropriate analysis, preparing data for analysis, interpreting output, and presenting results of a complex nature. Topics covered include multivariate data screening, analysis of variance, multi-dimensional scaling, factor analysis, OLS regression, mediation and moderation among others.