390016 DK PhD-M: Multivariate Business Statistics (2018W)
Prüfungsimmanente Lehrveranstaltung
Labels
Target Group: Students of the PhD-ManagementRequirements for Participation: Registration for the course in U:SPACEmore information: http://marketing.univie.ac.at/studierende/phd0/ws-201819/phd-m-multivariate-business-statistics/
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 10.09.2018 09:00 bis Do 20.09.2018 12:00
- Abmeldung bis Mo 15.10.2018 23:59
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 PercentAttendance in all units is a requirement for grading. For a positive grade, at least 50 percent are necessary.
- Mid-term presentation (article) 20 Percent
- End-term presentation (project) 20 Percent
- Course paper 30 PercentAttendance 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
- 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]
(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 15:46