Universität Wien
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200099 SE Seminar in Applied Psychology: Mind and Brain (2021S)

Experimentalpsychologische Daten analysieren mit R

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

Das Anwendungsseminar kann für alle Schwerpunkte absolviert werden!

Anwendungsseminare können nur für das Pflichtmodul B verwendet werden! Eine Verwendung für das Modul A4 Freie Fächer ist nicht möglich.
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: German

Lecturers

Classes (iCal) - next class is marked with N

The seminar takes place exclusively online (live sessions in Moodle at the indicated times). Therefore a computer with internet access is required. During the sessions, online attendance is obligatory. Those who are not online during the first session will be deregistered from the seminar. In addition to the regular sessions, there will be weekly voluntary sessions where questions will be answered and assistance provided in direct exchange.

  • Monday 08.03. 13:15 - 14:45 Digital
  • Monday 08.03. 15:00 - 16:30 Digital
  • Monday 15.03. 13:15 - 14:45 Digital
  • Monday 15.03. 15:00 - 16:30 Digital
  • Monday 12.04. 13:15 - 14:45 Digital
  • Monday 12.04. 15:00 - 16:30 Digital
  • Monday 26.04. 13:15 - 14:45 Digital
  • Monday 26.04. 15:00 - 16:30 Digital
  • Monday 10.05. 13:15 - 14:45 Digital
  • Monday 31.05. 13:15 - 14:45 Digital
  • Monday 31.05. 15:00 - 16:30 Digital
  • Monday 14.06. 13:15 - 14:45 Digital
  • Monday 14.06. 15:00 - 16:30 Digital
  • Monday 28.06. 13:15 - 14:45 Digital
  • Monday 28.06. 15:00 - 16:30 Digital

Information

Aims, contents and method of the course

Targets: In this course, students learn how to analyze experimental cognitive psychology data, create diagrams, and report the results in a way that is suitable for publication. Knowledge in R is obtained, and statistical and methodological expertise is deepened. Knowledge in R is not a prerequisite.
Contents: In this course, four topics are covered. 1. Handling of data (import, calculating new variables, filtering, etc.); 2. Descriptive statistics diagrams; 3. Simple inferential statistics (t-test etc.) and advanced inferential statistics (linear [mixed] models, etc.); 4. Simulations for power analysis. The last block shows the strengths of R and illustrates which aspects influence the power of experiments.

Assessment and permitted materials

Participation in the sessions, homework for the session, and final assignment (written summary of all analyses and results). All kinds of aids are allowed as long as the tasks are worked on and solved independently.

Minimum requirements and assessment criteria

Minimum requirements: Obligatory online attendance (maximum one absence).
Assessment criteria: participation (20%), homeworks (60%), final assignement (20%).
For a positive assessment, 50% is necessary (from 62.5% Satisfactory; from 75% Good, from 87.5% Very Good).

Examination topics

The topics of the sessions are the basis for the assessment.

Reading list

Will be announced in the seminar.

Association in the course directory

Last modified: We 21.06.2023 00:18