Module PY2912-KP04, PY2912

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

4

Course of studies, specific fields and terms:

• Bachelor Psychology 2027, optional subject, psychology
• Bachelor Psychology 2016, optional subject, psychology
• Bachelor Psychology 2020, optional subject, psychology

Classes and lectures:

• Nonparametric Methods (seminar, 2 SWS)

Workload:

• 30 hours in-classroom work
• 90 hours private studies

Contents of teaching:

• Nonparametric methods in the classical sense: Spearman, Wilcoxon, Mann-Whitney U, Kruskal-Wallis, Friedman
• Nonparametric estimation methods: Jackknife, Bootstrap
• Nonparametric test procedures: Permutation tests, randomization tests
• Nonparametric methods in the extended sense: Jackknife, Bootstrap
• Develop and apply non-parametric test statistics yourself
• Simulations (especially in Matlab)
• Simulate the statistical power of nonparametric tests
• Implementing appropriate statistics from the specialist literature

Qualification-goals/Competencies:

• Get to know and apply non-parametric methods, in the narrower and broader sense
• Independently find and apply non-parametric solutions to estimation and testing problems
• Search for and implement appropriate software solutions yourself (manually, Matlab, R, possibly Excel)

Grading through:

• academic paper (unmarked)

Responsible for this module:

• Prof. Dr. rer. nat. Jonas Obleser

Teacher:

• Department of Psychology
• Prof. Dr. rer. nat. Jonas Obleser
• PD Dr. rer. nat. Malte Wöstmann
• Dr. rer. nat. Mohsen Alavash

Literature:

• :

Language:

• Will be offered using an audience-oriented mixture of German and English

Notes:

Last Updated:

07.11.2025