Multivariate Analysis
The main goal of this subject is the quantitative statistical analysis of more variables at a time, which means that the analysis must include their mutual (simultaneous) action.
| Code : | И17КМАН |
|---|---|
| Status: | E |
| Semestar: | 7th or 8th |
| Number of classes per week: | 3+2 |
| ЕECTS: | 5 |
| Teachers: | |
| Prerequisites: | |
| Learning Outcomes (gained knowledge): | In recent years we have witnessed the wide application of multivariate data analysis in almost all fields of science. There are two main reasons for doing so. The first is development of computer technology and software products that enable a relatively simple application of multivariate analysis methods, and second, understanding the needs of many scientific studies to analyze the simultaneous interdependence among three or more variables. |
| Subject Contents: | Definition and classification of multivariate analysis methods, data types and measurement scales; Multivariate linear model; Cluster analysis; Discriminant analysis; Principal component analysis; Factor analysis; Categorical principal components analysis; Nonlinear canonical correlation analysis; Correspondence analysis; Multiple correspondence analysis; Multidimensional scaling; Reliability analysis. |
| Teaching Methods and Learning Activities: | During the lectures, students learn about principles and procedures of multivariate analysis, and in the exercises students solve complex tasks by applying learned statistical apparatus in order to mastered the subject content that they would later be able to apply in practice. Special attention is devoted to solving real examples from business practice, where the modeling is done in the computer center using the SPSS statistical software. |
| Literature: | Zlatko Kovačić (1998). Multivariate analysis. Belgrade: Faculty of Economics; Manly, B. F. J. (1991). Multivariate Statistical Methods: A Primer. London: Chapman and Hall; Mardia, K. V.; Kent, J. T.; Bibby, J. M. (1979). Multivariate Analysis. London: Academic Press; SPSS (2003). SPSS Advanced Models 12.0. Chicago: SPSS Inc. |
| Types of Assessment for the subject: | Colloquium I (0-20 points); Colloquium II (0-20 points); Final exam (0-50 points); Attendance (2point); Class activities (seminar papers, discussions, case studies) (0-8 points) |
| Special Remarks for the subject: |