EMR 6750 - Applied Multivariate Statistics

A continuation of the study of the principles of research design and data analysis techniques concentrating on the multivariate general linear model as an over-riding analytical model. Skills in the use of computer programs for data analysis are required. Design topics covered will include experimental, quasi-experimental cross-sectional, and correlational designs. Analytic topics covered will include Hotelling’s T2, MANOVA, MANCOVA, logistic and non-linear regression, principal component analysis, canonical correlation, discriminate function analysis, factor analysis, cluster analysis. All topics will be taught from an applied perspective which will include statistical computing using a PC environment and interpretation of statistical output.

Note: Open to graduate students only.

Prerequisites/Corequisites: Prerequisite: EMR 6650 with grade B or better or the faculty member teaching the course must approve any prerequisite exception.

Credits: 3 hours