Welcome...

 ...to the working unit Statistics and Psychological Methods at the University of Münster (AE Nestler). The members of our lab are interested in the advancement of statistical methods for the analysis of complex psychological data. Latest research projects cover topics such as combining the social relations model with structural equation models, advancing models to examine intra-individual variability or combining standard statistical approaches such as multilevel or structural equation models with machine learning methods (e.g., trees, boosting, ...). We are also authors or contributors to different R packages. In teaching, we provide a comprehensive B.Sc.- and M.Sc.-program in psychological methods, including lectures and courses on basic and advanced statistics.

If you are interested in writing a thesis in our lab, you can find further information here. We offer supervision of both bachelor and master theses covering both substantive and methodological research questions.

Latest News

2025-07-05

New paper in press by T. Eckes & S. Nestler in Journal of Psychopathology and Behavioral Assessment: I’m changing and I know it? - A daily diary study concerning people’s ability to identify sudden gains and losses.

2025-05-28

New paper in press by N. Bögemann, L. Harris, & S. Nestler in Cognition: A question of perspective: Target- vs. perceiver-specific dimensions of mind perception.

2025-05-20

New paper in press by J. Saretzki, T. Knopf, B. Forthmann, B. Goecke, A.-K. Jaggy, M. Benedek, & S. Weiss in Journal of Intelligence: Scoring German alternate uses items applying large-language models.

2025-05-13

New paper in press by B. Forthmann, N. Pichot, J.-B. Pavani, D. R. Johnson, & S. Humberg in Psychology of Aesthetics, Creativity, and the Arts: Identifying the functional relationships between creativity and its constituents: A task for response surface analysis? 

2025-04-02

New paper in press by C. Bhomwik, M. Back, S. Nestler, & F.-W. Schrader in Social Psychology of Education: Appearing smart, confident and motivated: A lens model approach to judgment accuracy in an educational setting.