BA723: Advanced Multivariate Statistics

Credit Hours:
3
Estimated Hours Per Week:
20

Overview

This course explores complex, multivariate statistical analysis models, where multiple dependent variables and at least one multi-factor independent variable must be accounted for. Concepts presented include:

  • Multiple Analysis of Variance (MANOVA), including eigenvalues, eigenvectors, and discriminant functions (discriminant variates)
  • Discriminant analysis (DA)
  • Repeated Measures Analysis of Variance (ANOVA), including Mixed Analyses
  • Components analysis (CA) and factor analysis (FA)

For the course project, Real-World Research Study: Statistical Models and Experimental Design, candidates apply concepts from both BA722 and BA723 to their DBA Project area of study, substantiating the appropriate statistical model(s) and associated experimental design(s) to analyze DBA Project data.

Course Learning Objectives

Upon successful completion of this course, students will be able to:

  • Identify the correct analysis for different research investigations and be able to apply concepts to new and existing research studies.
  • Demonstrate an understanding of Multivariate Analysis theory, technique, and application.
  • Properly use methods of data screening to verify validity of assumptions underlying the use of multivariate data analysis.
  • Analyze data using multivariate techniques described in the course and readings, producing correct output that includes tables, charts and graphs.
  • Demonstrate professional business and statistical writing.
  • Provide an end of term reflective analysis, assessing the knowledge gained from the course by specifying which methods, techniques, and procedures will be most useful in their academic and professional lives.
  • Complete a professional synthesizing project that demonstrates critical and creative thinking by presenting ways that the models, techniques, and analyses explored in this course can be used to gain knowledge and insight into students' DBA Project topics.
ENROLLMENT
To enroll in this course, please complete the online application.

Required Texts
BA723 texts are available from the JIU/Follett Bookstore