BUSA 9333 - Advanced Multivariate Methods for Business (3 Credit Hours)

Lecture Hours: 3 Lab Hours: 0
This course will enable students to master the analytical/methodological skills needed to evaluate and conduct research in their areas of specialization. Students will be introduced to multivariate data analysis methods needed in their research areas, including statistical concepts, principles, and techniques of analysis of variance, confirmatory factor analysis, and structural equations models. Students will be able to understand the multivariate statistical techniques used in current literatures, apply appropriate techniques to support their research and prepare methodology and results appropriate for business journals. Students will learn to use statistical software to assist problem solving.

Prerequisite(s): A minimum grade of “B” in BUSA 9332.
Restriction(s): NO Undergraduate Level Students