Universität Wien
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400012 SE Advanced research design from a quantitative perspective and causal inference (2023W)

Advanced seminar methods

Continuous assessment of course work
ON-SITE

requirement dissertation agreement

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

  • Monday 16.10. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Monday 13.11. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Monday 27.11. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Monday 11.12. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Monday 08.01. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien
  • Monday 22.01. 09:45 - 13:00 C0628A Besprechung SoWi, NIG Universitätsstraße 7/Stg. III/6. Stock, 1010 Wien

Information

Aims, contents and method of the course

Aims, contents and method of the course
This course is a Ph.D. seminar focused on analyzing and 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.

Please note: The prerequisite for participation in advanced seminars is the conclusion of the doctoral thesis agreement.

Bitte beachten Sie: Voraussetzung für den Besuch von Vertiefungsseminaren ist der Abschluss der Dissertationsvereinbarung.

Assessment and permitted materials

• Active participation and contribution in class (15%)
• Completing all assignments (25%)
• Research outline (15%)
• Final paper (45%)

Minimum requirements and assessment criteria

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

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. Specific readings for each class will be announced at the beginning of term.

Reading list


Association in the course directory

Last modified: Sa 23.09.2023 00:06