200096 SE Seminar in Applied Psychology: Mind and Brain (2020S)
Experimentalpsychologische Daten analysieren mit R
Continuous assessment of course work
Labels
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.
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).
- Registration is open from Mo 03.02.2020 11:00 to Tu 25.02.2020 11:00
- Deregistration possible until Fr 06.03.2020 11:00
Details
max. 20 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Due to the current outbreak of coronavirus in Vienna, a justified absence (symptoms of illness, contact with persons at risk, etc.) is possible in the first session without being deregistered from the seminar. However, please send me an e-mail (markus.gruener@univie.ac.at), so that I know that you want to participate in the seminar despite your absence in the first session.
- Monday 09.03. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 09.03. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 23.03. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 23.03. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 30.03. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 30.03. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 20.04. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 20.04. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 11.05. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 11.05. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 18.05. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 18.05. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 25.05. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 25.05. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 08.06. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 08.06. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 22.06. 13:15 - 14:45 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
- Monday 22.06. 15:00 - 16:30 PCR Computerhörsaal Psychologie, NIG 6.Stock A0607
Information
Aims, contents and method of the course
Assessment and permitted materials
Participation in the sessions, homeworks, and presentation of solutions in small groups. 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 attendance (maximum two absences).
Assessment criteria: cooperation (20%), homeworks (60%), presentation of analyses (20%).
For a positive assessment, 50% is necessary (from 62.5% Satisfactory; from 75% Good, from 87.5% Very Good).
Assessment criteria: cooperation (20%), homeworks (60%), presentation of analyses (20%).
For a positive assessment, 50% is necessary (from 62.5% Satisfactory; from 75% Good, from 87.5% Very Good).
Examination topics
The topics worked through in 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
Contents: In this course, six topics are covered. 1. Handling of data (import, calculating new variables, filtering etc.); 2. Descriptive statistics; 3. diagrams; 4. Simple inferential statistics (t-test etc.); 5. Advanced inferential statistics (linear [mixed] models, etc.); 6. Simulations for power analysis. The last block shows the strengths of R and illustrates which aspects influence the power of experiments.
Methods: Mainly problem-solving oriented teaching. After an introduction to the topic of each session, small groups work on problems. The solutions are then discussed together. After each session, similar tasks have to be worked on as homework.
Note: It is highly recommended to use your own computer during the seminar and to install R (https://www.r-project.org) and R-Studio (https://www.rstudio.com/products/rstudio/download/#download) on it before the first session. If there are problems with the installation, they will be solved in the first session. If no own computer is available, the PCs in the lecture hall can also be used.