Universität Wien

210097 UE M2: Methods of Political Science quantitativ (2025S)

8.00 ECTS (4.00 SWS), SPL 21 - Politikwissenschaft
Continuous assessment of course work

Eine Anmeldung über u:space innerhalb der Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.

Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.

Achten Sie auf die Einhaltung der Standards guter wissenschaftlicher Praxis und die korrekte Anwendung der Techniken wissenschaftlichen Arbeitens und Schreibens.
Plagiierte und erschlichene Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
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. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 05.03. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 05.03. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 19.03. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 19.03. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 26.03. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 26.03. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 02.04. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 02.04. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 09.04. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 09.04. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 30.04. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 30.04. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 07.05. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 07.05. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 14.05. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 14.05. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 21.05. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 21.05. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 28.05. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 28.05. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 04.06. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 04.06. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 11.06. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 11.06. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 18.06. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 18.06. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 25.06. 08:00 - 09:30 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)
  • Wednesday 25.06. 09:45 - 11:15 PC-Raum 1 UniCampus Hof 7 Eingang 7.1, 1.OG ( 2H-O1-13)

Information

Aims, contents and method of the course

TEACHERS
Katharina Pfaff + Christina Gahn

CONTENT
The course deals with the development of a research design. For this purpose all key concepts and steps of a solid research design are discussed: formulation of a research question, literature review, theory, hypothesis definition and testing, concept definitions and operationalization, case selection, and empirical verification.
Some of the questions discussed include the following: How do you develop and formulate a good research question? What is a suitable sampling strategy or estimation approach for a given research question? How do we deal with validity concerns and decrease uncertainty in empirical estimations? Against this backdrop, the seminar also discusses statistical methods that are useful for answering the research question and testing hypotheses. The empirical analyses are carried out using the programme R.

LEARNING OUTCOMES
Students, who have read the material and both regularly and successfully participated in class, will be able to:
- develop good research questions and an appropriate research design for a research paper (e.g. MA thesis);
- design and conduct research studies which require the collection and analysis of quantitative data;
- analyse quantitative data and interpret empirical results using R;
- draw appropriate conclusions based on statistical results;
- improve their scientific writing skills;
- critically evaluate scientific evidence that is communicated in academic journals, the popular press, and other outlets such as reports from government agencies, non-profit organizations, and corporations.

Assessment and permitted materials

The final grade is made up of:
- research proposal (10%)
- practical R exercises (25%),
- research outline + presentation (15%),
- final paper (40%),
- active class participation (10%)

Minimum requirements and assessment criteria

Attendance policy:
Only 2 absences are allowed (2 double-sessions/days).

Requirements:
Students can only pass this course if students submit the homework on time, miss only two double-sessions (maximum), and submit the research outline, and final paper on time.
The software Turnitin will be used to check plagiarism.

Grading Scale:
87-100 points: Very good (1)
75-86 points: Good (2)
63-74 points: Satisfactory (3)
50-62 points: Sufficient (4)
0-49 points: Not sufficient (5)

Examination topics

Students will be assessed based on their ability to formulate a research question, and develop a research design as well as on their knowledge of key quantitative skills.

Reading list

- Kellstedt, P. M. and Whitten, G. D. (2013) The Fundamentals of Political Science Research, Cambridge University Press.
- Agresti A. (2018) Statistical methods for the Social Sciences, 5th Edition.

More will be communicated in class.

Association in the course directory

Last modified: Th 20.02.2025 17:06