Simulation study as a B.Sc. thesis at the Center for Statistics & Data Science
Our research:
- We investigate and develop statistical and machine learning models for psychological research
- When do they work well, when don't they, and how can they be developed further?
Who is the B.Sc. thesis suitable for?
- For students of the B.Sc. Psychology degree program who are
- are interested in statistical models and would like to deepen their knowledge of them
- want to learn more about programming in R, e.g. writing functions themselves
Contents and structure of the B.Sc. thesis
- Learning objectives:
- Understand the basic principle of simulation studies
- Plan, carry out and evaluate simple simulation studies yourself
- Deepen statistical models from the bachelor's studies
- Methodology: Simulation study (also Monte Carlo study)
- no analysis of empirical data
- Data is systematically generated and analyzed in R
- Contents: statistical models from bachelor's studies
- z-test, t-test, ANOVA, regression, contrast analysis, multilevel models
- Effect size measures, type I error, power
Example topics for simulation studies

Contact person for B.Sc. projects
Jan Radek
Assistant / PhD candidateFakultät für Psychologie
Statistics & Data Science
Assistant / PhD candidate
Missionsstrasse 62A
4055
Basel
Schweiz