210106 UE M2: UE Research Methods for Political Science (2017S)
(engl.)
Continuous assessment of course work
Labels
Eine Anmeldung über u:space innerhalb der [https://politikwissenschaft.univie.ac.at/studium/informationen-fuer-studierende/#c118031 Anmeldephase ist erforderlich! Eine nachträgliche Anmeldung ist NICHT möglich.
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.Beachten Sie die Standards guter wissenschaftlicher Praxis.Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
[https://politikwissenschaft.univie.ac.at/studium/informationen-fuer-studierende/#c176951Plagiierte Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
Studierende, die der ersten Einheit unentschuldigt fern bleiben, verlieren ihren Platz in der Lehrveranstaltung.Beachten Sie die Standards guter wissenschaftlicher Praxis.Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
[https://politikwissenschaft.univie.ac.at/studium/informationen-fuer-studierende/#c176951Plagiierte Teilleistungen führen zur Nichtbewertung der Lehrveranstaltung (Eintragung eines 'X' im Sammelzeugnis).
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 We 01.02.2017 11:00 to Mo 13.02.2017 08:00
- Registration is open from Th 16.02.2017 08:00 to Mo 20.02.2017 08:00
- Deregistration possible until Mo 13.03.2017 08:00
Details
max. 40 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 07.03. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 14.03. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 21.03. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 28.03. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 04.04. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 25.04. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 02.05. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 09.05. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 16.05. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 23.05. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 30.05. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 13.06. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 20.06. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Tuesday 27.06. 14:00 - 17:00 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
Information
Aims, contents and method of the course
Assessment and permitted materials
The final grade is made up of:
- quizzes (20%) and homework (20%)
- final paper (50%)
- active class participation (10%).
- quizzes (20%) and homework (20%)
- final paper (50%)
- active class participation (10%).
Minimum requirements and assessment criteria
Students will be assessed based on their ability to formulate and implement a research question as well as on their knowledge of key quantitative skills.
Examination topics
Reading list
Association in the course directory
Last modified: Th 14.11.2024 00:15
The course deals with the development of a research design. For this purpose all key concepts and steps of the 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 that will be discussed include the following: How do I find a research question? How to formulate a research question? What elements should a quantitative research design include? How can a research question be adequately justified theoretically? The seminar also discusses statistical methods that are useful for answering the research question and to verify the hypotheses formulated. The empirical analyses are carried out using Stata in the computer room.
Learning Outcomes
Assuming that you have read the material and participated regularly in class, the seminar will:
- sharpen your ability to produce original research in social science while developing skills in designing and conducting research studies, collecting and analysing data, drawing appropriate conclusions based on statistical results, and writing up scientific reports;
- help you choosing your MA thesis research question, collecting data and evidence, drawing conclusions and writing up your thesis;
- help you in analysing quantitative data and interpreting your results using Stata, a common statistical analysis programme used in the social sciences;
- develop your capacity for critically evaluating “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.