210112 UE M2: Research Methods for Political Science (2019S)
Continuous assessment of course work
Labels
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.Beachten Sie die Standards guter wissenschaftlicher Praxis.Die Lehrveranstaltungsleitung kann Studierende zu einem notenrelevanten Gespräch über erbrachte Teilleistungen einladen.
Plagiierte und erschlichene 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.
Plagiierte und erschlichene 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 Mo 04.02.2019 08:00 to Mo 18.02.2019 08:00
- Registration is open from Th 21.02.2019 08:00 to Tu 26.02.2019 08:00
- Deregistration possible until Su 17.03.2019 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 04.03. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 11.03. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 18.03. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 25.03. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 01.04. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 08.04. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 29.04. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 06.05. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 13.05. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 20.05. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 27.05. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 03.06. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 17.06. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
- Monday 24.06. 14:00 - 17:00 PC-Raum 2 UniCampus Hof 7 Eingang 7.1 2H-O1-25
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
The final grade is made up of:
- quizzes (20%) and homework (20%)
- final paper (50%)
- active class participation (10%). (Max 2 absences)
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.
- quizzes (20%) and homework (20%)
- final paper (50%)
- active class participation (10%). (Max 2 absences)
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 20.02.2025 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.