Universität Wien

200139 SE Master's Thesis Seminar (A) (2022S)

2.00 ECTS (2.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work
REMOTE

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. 20 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

The seminar will be held in digital format only.

  • Wednesday 09.03. 13:15 - 14:45 Digital
  • Wednesday 16.03. 13:15 - 14:45 Digital
  • Wednesday 23.03. 13:15 - 14:45 Digital
  • Wednesday 30.03. 13:15 - 14:45 Digital
  • Wednesday 06.04. 13:15 - 14:45 Digital
  • Wednesday 27.04. 13:15 - 14:45 Digital
  • Wednesday 04.05. 13:15 - 14:45 Digital
  • Wednesday 11.05. 13:15 - 14:45 Digital
  • Wednesday 18.05. 13:15 - 14:45 Digital
  • Wednesday 25.05. 13:15 - 14:45 Digital
  • Wednesday 01.06. 13:15 - 14:45 Digital
  • Wednesday 08.06. 13:15 - 14:45 Digital
  • Wednesday 15.06. 13:15 - 14:45 Digital
  • Wednesday 22.06. 13:15 - 14:45 Digital
  • Wednesday 29.06. 13:15 - 14:45 Hörsaal D Psychologie, NIG 6.Stock A0624

Information

Aims, contents and method of the course

The aim of the seminar is to support and optimize your master's thesis through feedback from fellow students and the course instructor. In doing so, the knowledge acquired in the previous studies for writing and evaluating the theoretical part of a scientific thesis (master thesis) as well as the corresponding knowledge for the empirical part will be updated, applied and extended. Specifically, these are: Skills for designing, conducting, evaluating and interpreting the results of an empirical study as well as the ability to evaluate studies.
In addition, your skills for giving and receiving differentiated performance feedback will be enhanced.
Unit procedure:

1. speakers design the unit or their time slot independently with the goal of getting the most helpful feedback possible.
2. presentations should be made available to the others via Moodle in advance (the evening before the seminar).
3. three questions should be posted before the unit and brought to the unit.
4. buddy support: each master student has a partner who supports him/her (viewing and discussing the presentation beforehand, giving feedback on the concept, ...) and also documents this. The buddy is also responsible for logging the feedback for the presenter(s) during the presentation. Additionally, there should also be a buddy who gives feedback on the first concept of the master thesis (before giving it to the supervisor). This can, but does not have to be, the same person.

Assessment and permitted materials

- Presentation
- Active participation (taking part in discussions; formulating and uploading questions/comments, giving feedback)
- Attendance (max. 2x absence)
- Taking minutes: attach to the entry of the uploaded (and corresponding) presentation on Moodle by 12.00 noon on the following Friday at the latest
- Documentation of the buddy activity

Minimum requirements and assessment criteria

- Attendance
- Active participation (lecturing, thinking, discussing, formulating questions and uploading them to Moodle, giving feedback, writing minutes)
- Participation in the lecture series of the research area (dates on Moodle)

Examination topics

Reading list

Backhaus, K., Erichson, B., Plinke, W. & Weiber, R. (2006). Multivariate Analysenmethoden. Eine anwendungsorientierte Einführung (11. Auflage). Berlin: Springer.
Bortz, J. & Döring, N. (2006). Forschungsmethoden und Evaluation für Human- und Sozialwissenschaftler. Berlin: Springer.
Field, A. (2009). Discovering Statistics Using SPSS (3rd ed.). London: Sage.
Geiser, C. (2011). Datenanalyse mit Mplus: Eine anwendungsorientierte Einführung. Wiesbaden: VS Verlag für Sozialwissenschaften.
Götz, T. & Nett, U. E. (2017). Selbstreguliertes Lernen. In T. Götz (Hrsg.), Emotion, Motivation und selbstreguliertes Lernen (S. 143-184). Paderborn: Schöningh (2. Auflage).

Association in the course directory

Last modified: Th 11.05.2023 11:27