BA6506 APPLIED MULTIVARIATE ANALYSIS

Course Code:3126506
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:10.0
Department:Business Administration
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:
Offered Semester:Fall or Spring Semesters.

Course Objectives

  • to provide the students with adequate familiarity with multivariate techniques such that they will be able to

    • understand the literature using multivariate techniques in their own substantive field
    • apply these procedures properly in their own research
    • use statistical software for multivariate data analysis
  • to lay the foundations for following advances in multivariate techniques

Course Content

This course will cover Multivariate data, Multivariate normal distribution, Multivariate ANOVA, MANCOVA, Repeated measures MANOVA, Multivariate regression, Principal Components, Factor Analysis, Canonical Correlation Analysis, Discriminant Analysis, Cluster Analysis, Multidimensional Scaling. Students will be required to understand the use of and apply the techniques in finance and accounting using a relevant statistical software- i.e. SPSS, MINITAB


Course Learning Outcomes