Universität Wien

400009 SE Experimental Designs and Analysis of Experimental Data (2018S)

SE Methods for Doctoral Candidates

Continuous assessment of course work

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 21.03. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
  • Wednesday 18.04. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
  • Wednesday 02.05. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
  • Wednesday 16.05. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
  • Wednesday 30.05. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
  • Wednesday 13.06. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
  • Wednesday 27.06. 14:00 - 17:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre

Information

Aims, contents and method of the course

The seminar Experimental Designs and Analysis of Experimental Data offers an in-depth understanding of the application of different experimental methods in the social sciences. It guides through the planning and application process of experiment research designs and deals with steps such as stimulus validation or questionnaire design, with ethics involved with experimental research, with different types of measurements, and with different types of analysis of experimental data. Discussion involves the design of traditional lab-experiments, including factorial experiments, online experiments, or quasi-experiments. The seminar also deals with the planning, measurement and analysis of moderation and mediation effects in experimental designs. Students are required to develop a small research project utilising an experimental design

Assessment and permitted materials

Presentations and Active Participation (20%), Peer Review (10%) and Final Paper (70%)

Minimum requirements and assessment criteria


Presentations and Active Participation, Peer Review and Final Paper

Examination topics

Presentations and Active Participation, Peer Review and Final Paper

Reading list

Research articles and book chapters, to be announced in class.

Association in the course directory

Last modified: Fr 01.10.2021 00:27