Multivariate Analysis

Learning Outcomes

On successful completion of this Course, students will be able to: Understand the breadth and depth concerning theories and practices of marketing; Compare the evolution of marketing theories from the classical theories to the current state of the art; Understand various topics in marketing in order to suggest topics for further research; Understand how to critically evaluate research papers and suggest significant improvement; Leverage ICT capabilities to enhance business best practices.

Topics

1. Introduction & Preparing for Multivariate Analysis
2. Factor Analysis and Cluster Analysis
3. Multiple Regression Analysis and Canonical Correlation
4. Conjoint Analysis
5. Multiple Discriminant Analysis and Logistic Regression
6. Multivariate Analysis of Variance
7. Multidimensional Scaling (MDS) & Correspondence Analysis
8. Statistical Analysis Exercise using SPSS
9. Equation Modeling (SEM) SEM Concept
10. Structural Equation Modeling (SEM) SEM Procedures
11. Confirmatory Factor Analysis (CFA) and Structural Model
12. Multisample / Multigroup Analysis.