200146 SE Seminar in Applied Psychology: Mind and Brain (2021W)
Experimentalpsychologische Daten analysieren mit R
Continuous assessment of course work
Labels
REMOTE
Dieses Anwendungsseminar kann für alle Schwerpunkte absolviert werden!Anwendungsseminare können nur fürs Pflichtmodul B verwendet werden! Eine Verwendung fürs 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 We 01.09.2021 07:00 to Th 23.09.2021 07:00
- Deregistration possible until Mo 04.10.2021 07:00
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 11.10. 13:15 - 16:30 Digital
- Monday 25.10. 13:15 - 16:30 Digital
- Monday 08.11. 13:15 - 16:30 Digital
- Monday 22.11. 13:15 - 16:30 Digital
- Monday 06.12. 13:15 - 16:30 Digital
- Monday 17.01. 13:15 - 16:30 Digital
- Monday 31.01. 13:15 - 16:30 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Participation in the sessions, homework for the session, and final assignment. 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).
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
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.
Methods: Mainly problem-solving oriented teaching. After an introduction to the topic of each session, students work independently on problems. The solutions are then discussed together. After each session, similar tasks are to be worked on as homework.
Note: Please install R (https://www.r-project.org) and R-Studio (https://www.rstudio.com/products/rstudio/download/#download) on your computer before the first session. Any problems that may arise with the installation will be solved in the first unit.