MULTIVARIATE ANALYSIS (3 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: understand the breadth and depth concerning theories and practices of; 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