Universität Wien
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200171 SE Theory and Empirical Research (Clinical Psychology and Health Psychology) 2 (2018W)

8.00 ECTS (4.00 SWS), SPL 20 - Psychologie
Continuous assessment of course work
Moodle

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: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 04.10. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 08.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 11.10. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 15.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 18.10. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 22.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 25.10. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 29.10. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Monday 05.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 08.11. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 12.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 15.11. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 19.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 22.11. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 26.11. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 29.11. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 03.12. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 06.12. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 10.12. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 13.12. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 07.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 10.01. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 14.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 17.01. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 21.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 24.01. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
  • Monday 28.01. 09:45 - 11:15 Hörsaal F Psychologie, Liebiggasse 5 1. Stock
  • Thursday 31.01. 11:30 - 13:00 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607

Information

Aims, contents and method of the course

AIMS: The course is intended to provide the sufficient knowledge to do scientific work. In particular the following goals will be achieved along the course:
1) be able to prepare the material for answering the proposed research question
2) be able to collect the data
3) be able to analyze the data
4) be able to interpret the data

CONTENT: The main topics covered by the course relate to: social cognitive neuroscience, empathy, emotions, disorders of social cognition such as autism and alexithymia Expose of the research project, plus presentations during the course.

Method: students´ presentations plus tutorials about different programs, which are relevant to the work of a scientist/researcher. These include Psychopy (a user-friendly but powerful program that is based on the Python programming language and allows you to program and present your experimental stimuli, record responses, etc); Excel; The R programming language (this is the most powerful and widely used program in psychology and other domains to process, analyze, and visualize data); zotero and mendeley (two widely used and free of cost citation managers). Depending on time, we might also work with Matlab (similar to R)

Assessment and permitted materials

Expose of the research project plus presentations during the course

Minimum requirements and assessment criteria

Students have to actively collect, analyze an and interpret the data of their research project.
Students must attend the lectures plus the tutorials

Examination topics

1) how to prepare the material for answering the proposed research question (i.e. programming)
2) how to collect the data
3) how to analyze the data
4) how to interpret the data

Reading list

Literature and links given during class

Association in the course directory

Last modified: Mo 07.09.2020 15:37