Universität Wien

230140 UE M6 Quantitative Methods Compact: Basics, Advanced Topics and Refresher (2025S)

Sociological Specialisation of Choice

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
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. 20 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Saturday 01.03. 09:45 - 16:45 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 07.03. 09:45 - 16:45 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Saturday 08.03. 09:45 - 16:45 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Friday 14.03. 09:45 - 16:45 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25

Information

Aims, contents and method of the course

This course provides an application-oriented overview of quantitative research methods. It serves as a “crash course” to review key content from undergraduate sociology courses (Bachelor) on quantitative methods. The goal is to establish a solid foundation at the start of the master’s program to facilitate an in-depth engagement with advanced quantitative methods. The methods covered will be applied practically using the Stata statistical software, and beginners to Stata are welcome. The course is particularly suited for students who did not major in sociology during their undergraduate studies but is also recommended for those who wish to refresh their knowledge of quantitative methods.

The course covers the following topics:
• Research process: Sampling, questionnaire design
• Data analysis: (a) univariate: frequency tables, measures of central tendency and dispersion; (b) bivariate: cross-tabulations, measures of association; (c) multivariate: linear and logistic regression analysis
• Graphical presentation of results

Assessment and permitted materials

Minimum requirements:
Submission of mini project, participation, and two tests.

Assessment criteria:

Active participation in class sessions (including submission of exercises): 30%
Mini project: 20%
Two tests: 50%

Minimum requirements and assessment criteria

Minimum requirements:
Submission of mini project, participation, and two tests.

Assessment criteria:

Active participation in class sessions (including submission of exercises): 30%
Mini project: 20%
Two tests: 50%

Examination topics

Will be announced in class

Reading list

Imai, Kosuke and Lori D. Bougher (2021). Quantitative social science. An introduction in Stata. Princeton: Princeton University Press.

Association in the course directory

Last modified: Tu 25.02.2025 16:46