Universität Wien

390024 DK PhD-M: Multivariate Business Statistics (2020S)

5.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Target Group: Students of the PhD-Management

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

Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

ATTENTION:
Adaptions of the syllabus caused by closing of the university building are announced via MOODLE. Regulations concerning attendance can be applied only for units in class.

Mittwoch 11.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 18.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 25.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 01.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 22.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 29.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 06.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 13.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 20.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 27.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 03.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 10.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 17.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 24.06. 15:00 - 16:30 Seminarraum 3 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.
More information you find here: https://marketing.univie.ac.at/fileadmin/user_upload/i_marketing/unterlagen/Merkblaetter/2020SS_Merkblaetter/20SS_PhDM_MultivariateBusinessStatistics-1.pdf

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: Mo 07.09.2020 15:22