Universität Wien

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

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

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

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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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.

  • Monday 01.02. 13:15 - 18:15 Digital
  • Tuesday 02.02. 13:15 - 18:15 Digital
  • Wednesday 03.02. 13:15 - 18:15 Digital
  • Thursday 04.02. 13:15 - 18:15 Digital
  • Friday 05.02. 15:00 - 18:15 Digital

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

• 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.

Minimum requirements and assessment criteria

Basic Knowledge of Statistics is required.

Examination topics

Materials covered during the course

Reading list

•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.

Association in the course directory

Last modified: Fr 12.05.2023 00:12