Universität Wien

040195 KU Data Analysis on Organization and Personnel (MA) (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

service email address: opim.bda@univie.ac.at

An/Abmeldung

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

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Changes to the schedule made in dialogue with students. Should the new dates cause a problem for your study schedule please get in touch by writing an email to opim.bda@univie.ac.at.

  • Montag 01.02. 13:15 - 18:15 Digital
  • Dienstag 02.02. 13:15 - 18:15 Digital
  • Mittwoch 03.02. 13:15 - 18:15 Digital
  • Donnerstag 04.02. 13:15 - 18:15 Digital
  • Freitag 05.02. 15:00 - 18:15 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course aims to promote students’ analytical thinking and active learning about business research methods. The course allows students to design and develop their research projects from inception to completion by synthesizing rigorous coverage of methodologies. Specifically, the course is designed in two parts. Parts one concerns an introduction to understanding research methods, and part two represents various methods in analyzing quantitative data (e.g., descriptive statistics, regression analysis, analysis of means, etc.) using statistical packages such as SPSS and LISREL.

Art der Leistungskontrolle und erlaubte Hilfsmittel

• 40% writing proposal assignment
• 60% data analysis assignment

The course is held in English. The minimum requirement for an overall pass grade is 50%. You need to obtain at least half of the points for each of the term assignments.

Mindestanforderungen und Beurteilungsmaßstab

Basic knowledge of Statistics is required.

Prüfungsstoff

Materials covered during the course

Literatur

•Quinlan, C., Babin, B., Carr, J., & Griffin, M., Zikmund, W. (2019). Business research methods. 2nd edition, South-Western Cengage.
•Keller, G. (2014). Statistics for Management and Economics, 10th edition, Cengage Learning.
•Joseph F. Hair Jr., William C. Black, Barry J. Babin, Rolph E. Anderso, (2019), Multivariate Data Analysis, 8th Edition, Cengage.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:12