Teaching

2023

2022

  • Advanced data analysis in R (Seminar, M.Sc. Psychology)
  • Colloquium: Presentation of research projects (Seminar, B.Sc./M.Sc. Psychology)
  • Design and analysis of empirical studies (Lecture, B.Sc. Psychology)
  • Introduction to Bayesian Modeling (Workshop, Ph.D. Psychology)
  • Research design (Lecture, B.Sc. Psychology)
  • Research organization and useful software (Training, Ph.D. Psychology)
  • Quantitative methods: Inferential statistics (Lecture, B.Sc. Psychology)

 2021

  • Advanced topics in R (Workshop, Ph.D. Psychology)
  • Bayesian modeling of individual differences in psychological processes (Seminar, M.Sc. Psychology)
  • Introduction to Bayesian Modeling (Workshop, Ph.D. Psychology)
  • Introduction to R: Basics & advanced (Workshop, Ph.D. Psychology)
  • Research organization and useful software (Training, Ph.D. Psychology)

2020

  • Advanced topics in R (Workshop, Ph.D. Psychology)
  • Evidence, errors, and beliefs: A stroll trough the statistical inference maze (Workshop, Ph.D. Psychology)
  • Introduction to R: Basics & advanced (Workshop, Ph.D. Psychology)
  • Introduction to R: Basics & applications (Seminar, M.Sc. Psychology)
  • Useful software for a Ph.D. candidate (Training, Ph.D. Psychology)

2019

  • Honest answers to sensitive questions (Seminar, B.Sc. Psychology)
  • Introduction to R: Basics & advanced (Workshop, Ph.D. Psychology)
  • Introduction to R (Invited Workshop at the Mannheim Psychology Conference)
  • Introduction to R (Invited Workshop at the Work & Organizational Psychology Lab, Sabine Sonnentag)

2018

  • Introduction to R: Basics & advanced (Workshop, Ph.D. Psychology)

2013 – 2016

  • Quantitative methods in psychological research (Tutorial, B.Sc. Psychology)
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