Universität Wien
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210114 UE M2: Methods of Political Science (2024S)

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

  • Tuesday 05.03. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 19.03. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 09.04. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 16.04. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 23.04. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 30.04. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 07.05. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 14.05. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 21.05. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 28.05. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 04.06. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 11.06. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 18.06. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
  • Tuesday 25.06. 13:15 - 16:30 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25

Information

Aims, contents and method of the course

The seminar equips students with essential skills to develop suitable research designs and apply quantitative methods, empowering them to independently conduct their own research and successfully complete their master's thesis.

We address key stages in the research process, such as formulating a research question, conducting a comprehensive literature review, developing a theoretical argument, defining concepts, deriving hypotheses, selecting cases, designing and identifying suitable measurement instruments and conducting a quantitative empirical analysis.

While the first half of the course focuses on the fundamentals of research design, the second half will involve hands-on practical exercises in data analysis.

Students are free to choose whether they prefer to undertake the practical exercises using the statistical software Stata (student licenses available via: https://academic.softwareone.com/#/UniWien_Studierende) or the open-source software environment R (https://www.r-project.org/).

Assessment and permitted materials

The assessment will be based on three components:
• A seminar paper, to be submitted by August 15, 2024, which constitutes 40% of the total grade.
• Reading-based homework, contributing to 30% of the grade.
• Practical exercises in data analysis, making up the remaining 30%.

Grading scale:
• 100-87 Points: Excellent (1)
• 86-75 Points: Good (2)
• 74-63 Points: Satisfactory (3)
• 62-50 Points: Sufficient (4)
• 49-0 Points: Insufficient (5)

Minimum requirements and assessment criteria

While a prior understanding of the fundamentals of statistics and quantitative methods is beneficial, it is not mandatory.

To successfully complete the course, students are required to meet the following minimum criteria: Students should attend at least 80% of the sessions, complete at least 50% of the weekly tasks, and submit the seminar paper on time.

Plagiarism, inauthentic, or otherwise fraudulent work is strictly prohibited. Any such instances will result in the course not being assessed, indicated as an 'X' on the transcript. The plagiarism detection software 'Turnitin' will be utilized to ensure academic integrity. If necessary, the instructor may invite students to a ‘grade-relevant conversation’ about their submitted work.

Examination topics

All course materials will be made available on the Moodle platform.

Reading list

Kellstedt, Paul M. and Whitten, Guy D. (2018). The Fundamentals of Political Science Research. 3rd Edition. Cambridge: Cambridge University Press.
Kellstedt, P. M., & Whitten, G. D. (2019). A Stata Companion for the Third Edition of The Fundamentals of Political Science Research. Cambridge: Cambridge University Press.
Kellstedt, P. M., & Whitten, G. D. (2021). An R Companion for the Third Edition of The Fundamentals of Political Science Research. Cambridge: Cambridge University Press.

Association in the course directory

Last modified: We 31.07.2024 11:26