Universität Wien
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400014 SE Quantitative Data: Research Models and Causality (2024W)

Methods seminar

5.00 ECTS (2.00 SWS), SPL 40 - Doktoratsstudium Sozialwissenschaften
Continuous assessment of course work
Moodle
We 22.01. 09:45-13:00 Seminarraum 11 Vernetzungsraum für Vienna Doctoral School of Social Sciences, Kolingasse 14-16, OG01

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. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 16.10. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Wednesday 30.10. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Wednesday 13.11. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Wednesday 04.12. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Wednesday 15.01. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien

Information

Aims, contents and method of the course

Lecturer: Clara Faulí Molas

This course is a Ph.D. seminar focused on designing empirical causal inference using quantitative methods. By the end of the course, students should be able to: (1) design research to address causal theories and questions; (2) identify potential threats to the validity of findings, and (3) understand how to plan, execute and archiving research effectively.

Assessment and permitted materials

Students have to pass each assessment part (see below) to obtain a positive grade for the course.

Minimum requirements and assessment criteria

Active participation and contribution in class (15%)
Completing all assignments including presentation and discussion role (15%)
Research outline (25%)
Final paper (45%)

Attendance is required.

Examination topics

Topics will include materials covered in class and/or on the reading list. Some assessments may also demand students to research something themselves or collect material themselves.

Reading list

Some useful textbooks covering part of the course content are:

Gerring, J. (2012). Social Science Methodology: A Unified Framework. Cambridge University Press.

Box-Steffensmeier, J. M., Brady, H. E., & Collier, D. (Eds.). (2008).The Oxford Handbook of Political Methodology. Oxford University Press.

Specific readings for each class will be announced at the beginning of term (including the relevant chapters in these textbooks).

Association in the course directory

Last modified: Mo 16.12.2024 13:47