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210114 UE M2: Research Methods for Political Science (2020S)

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

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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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Friday 13.03. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 20.03. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 27.03. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 03.04. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 24.04. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 08.05. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 15.05. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Wednesday 20.05. 15:00 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Friday 29.05. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 05.06. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Friday 12.06. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Wednesday 17.06. 15:00 - 18:15 Class Room 3 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-25
Friday 26.06. 15:00 - 18:15 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33

Information

Aims, contents and method of the course

Language of instruction: English
We will use R ( common statistical software) in the course.

Goals:
The course provides students with the knowledge of quantitative research approaches and methods that are necessary for researching and writing an MA thesis. This course is important because you will learn how to conduct research, particularly within the social science field.

Content:
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 uv 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 R, 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.

Assessment and permitted materials

Requirements and Grading:
Students are required to attend all meetings. It is allowed to miss up to 2 classes, whereby students need to attend the first session.

Grading: *
The final grade is made up of:
- 1) 20%: class attendance (max 2 absences), active class participation and weekly annotation of the required readings using Perusall (https://app.perusall.com, for more information about Perusall, watch some YouTube videos (e.g. https://www.youtube.com/watch?v=OhTonln1T6A)
- 2) 30%: weekly homework assignments
- 3) 50%: research paper (4000 words, excluding bibliography, tables and figures)

* Note that the exact percentages might change.

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 and application of key quantitative skills.

The minimum requirement is the completion of each of the three class components (see above) – not necessarily successfully.

In order to be graded, students can miss up to 2 classes, have to submit all weekly homework assignments and submit the empirical research paper on the set deadlines.

This means that students can NOT master the first two components (class participation and weekly homework), which make up 50 % of the final grade and decide not to write the term paper or vice versa.

Plagiarism and Ghostwriting are strictly forbidden. To make sure that these rules are not violated on some occasions students will be required to provide an oral discussion of their written work. All written work submitted in this class will go through a plagiarism check using the plagiarism software "Tunrnitin".

Examination topics

Required Literature

Reading list

The syllabus for the class with all required and recommended literature will be provided in the first session and on Moodle.

Association in the course directory

Last modified: Mo 07.09.2020 15:21