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230140 UE M6 Quantitative Methods Compact: Basics, Advanced Topics and Refresher (2025S)
Sociological Specialisation of Choice
Continuous assessment of course work
Labels
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).
- Registration is open from Sa 01.02.2025 00:01 to Su 23.02.2025 23:59
- Deregistration possible until Sa 15.03.2025 23:59
Details
max. 20 participants
Language: German
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements:
Submission of homework assignments, participation, and two tests.Assessment criteria:Active participation in class sessions (including submission of exercises): 30%
Assignments and written submission of homework: 20%
Two tests: 50%
Submission of homework assignments, participation, and two tests.Assessment criteria:Active participation in class sessions (including submission of exercises): 30%
Assignments and written submission of homework: 20%
Two tests: 50%
Minimum requirements and assessment criteria
Minimum requirements:
Submission of homework assignments, participation, and two tests.Assessment criteria:Active participation in class sessions (including submission of exercises): 30%
Assignments and written submission of homework: 20%
Two tests: 50%
Submission of homework assignments, participation, and two tests.Assessment criteria:Active participation in class sessions (including submission of exercises): 30%
Assignments and written submission of homework: 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: Fr 10.01.2025 00:02
• 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