Universität Wien FIND

390016 DK PhD-M: Multivariate Business Statistics (2018W)

Prüfungsimmanente Lehrveranstaltung

Target Group: Students of the PhD-Management

Requirements for Participation: Registration for the course in U:SPACE

more information: http://marketing.univie.ac.at/studierende/phd0/ws-201819/phd-m-multivariate-business-statistics/

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Dienstag 02.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 09.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 16.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 13.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 20.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 27.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 04.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 11.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 08.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 15.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 22.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 29.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course consists of three parts. In the first part, the theoretical principles of selected multivariate techniques are presented by the instructor. Since not all the material can be covered, 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 instructor one week before the end-term presentation by the latest.

Art der Leistungskontrolle und erlaubte Hilfsmittel

- 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 grading. For a positive grade, at least 50 percent are necessary.

Mindestanforderungen und Beurteilungsmaßstab

- 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

Prüfungsstoff

Literatur

Hair, J.F.Jr., Babin, B.J., Anderson, R.E., Black, W.C. (2018): Multivariate Data Analysis, 8th ed., Cengage
(7th ed.: Hardcover 2010, Kindle 2013, Paperback 2014)
- Iacobucci, D., Churchill, G.A.Jr., (2018): Marketing Research – Method. Foundations, 12th ed., CreateSpace
- [Supplement: Tabachnik, B.G., Fidell, L.S. (2019): Using Multivariate Statistics, 7th ed., Pearson]
- [Supplement: Backhaus, K. et al. (2016): Multivariate Analysemethoden, 14. Aufl., Springer]

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 13.02.2019 11:08