Universität Wien

390016 DK PhD-M: Multivariate Business Statistics (2015W)

10.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Continuous assessment of course work

Target Group: Students of the PhD-Management
Requirements for Participation: Registration for the course in U:SPACE

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 06.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 13.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 20.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 27.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 03.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 10.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 17.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 24.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 01.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 15.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 12.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 19.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 26.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

More details:
http://marketing.univie.ac.at/studierende/phd0/ws-201516/phd-m-multivariate-business-statistics/

Assessment and permitted materials

- Written examination 30 Percent
- Mid-term presentation (article) 20 Percent
- End-term presentation (project) 20 Percent
- Course paper 30 Percent

Attendance in all units is a requirement for graduation of the course.

Minimum requirements and assessment criteria

- Understanding the principles of selected multivariate business statistics techniques
- Realising how to use these techniques in scientific work
- Applying the techniques in a practical data analysis project

Examination topics

The course consists of three parts. In the first part, the theoretical principles of selected multivariate techniques are presented by the lecturer. Since not all the material can be covered in the lecture, careful reading of the relevant chapters in the textbooks is necessary. This part ends with a written examination. In the second part, the participants are expected to present a scientific article in which one or more multivariate techniques are used (mid-term presentations). In the third part, the participants conduct a practical data analysis project with a given data set. For data analysis, the SPSS package is used. The written seminar papers have to be handed over to the lecturer one week before the end-term presentation by the latest.

Reading list

- Hair, J.F.Jr., Black, W.C., Babin, B.J., Anderson, R.E. (2010): Multivariate Data Analysis, 7th ed., Prentice Hall
- Iacobucci, D., Churchill, G.A.Jr., (2015): Marketing Research – Method. Foundations, 11th ed., South-Western
- [Supplement: Tabachnik, B.G., Fidell, L.S. (2013): Using Multivariate Statistics, 6th ed., Pearson]
- [Supplement: Backhaus, K. et al. (2011): Multivariate Analysemethoden, 13. Aufl., Springer]

Association in the course directory

Last modified: Mo 07.09.2020 15:46