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 candidate
Fakultät für Psychologie
Statistics & Data Science

Assistant / PhD candidate

Missionsstrasse 62A
4055 Basel
Schweiz

Tel. +41 61 207 75 90
jan.radek@unibas.ch