Module PY4011-KP04
Statistical Cognition - Recognizing and avoiding common statistical traps (StatDenke)
Duration
1 Semester
Turnus of offer
irregularly
Credit points
4
Course of studies, specific fields and terms:
- Bachelor Psychology 2027, optional subject, psychology
- Bachelor Psychology 2020, optional subject, psychology
- Bachelor Psychology 2016, optional subject, psychology
- Master Psychology 2016, optional subject, psychology
Classes and lectures:
- PY4011-W: Statistical Cognition Recognizing and avoiding common statistical traps (seminar, 2 SWS)
Workload:
- 30 hours in-classroom work
- 90 hours private studies
Contents of teaching:
- Common errors in the statistical analysis of empirical data
- Logical fallacies in the interpretation of research findings
- Deficiencies in human patterns of thought
- Discrepancies of intuitive and formal logic
- Simple data simulation in MatLab
Qualification-goals/Competencies:
- Students are able to recognize formal errors and logical fallacies in research results
- You are familiar with experimental design and statistical analysis techniques to avoid typical pitfalls
- You are able to independently implement data simulations in order to uncover statistical and logical errors and their implications.
- You can critically reflect on logical conclusions and statistical analysis methods.
Grading through:
- written homework
Responsible for this module:
Literature:
- Beck-Bornholdt & Dubben : Der Hund, der Eier legt. Erkennen von Fehlinformationen durch Querdenken 7. Auflage, 2005. Rowohlt, Hamburg
- Kahnemann : Thinking, Fast and Slow 2011. Penguin books, United Kingdom
Language:
- offered only in German
Notes:
Admission requirements for taking the module:- None
Admission requirements for participation in module examination(s):
- None
Module examination(s):
- PY4011-L1: Statistical thinking - recognizing and avoiding pitfalls in statistical data analysis, term paper, 100% of the module grade (ungraded, B certificate)
Note on term paper: Each student writes a one-off in-depth term paper (2000-3000 words) based on the topic of a seminar session. Students receive an ungraded certificate.
Last Updated:
12.11.2025