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 and in applications of Brunswik’s lens model approach in psychological research. Latest research projects cover topics such as combining the social relations model with structural equation models, using factor analysis methods to analyze EEG data, advancing models to examine intra-individual variability or examining the processes underlying personality judgments (e.g., perceiver effect biases). 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

2021-01-06

New paper in press by J. Schulte, F. Dietel, S. Wilhelm, S. Nestler & U. Buhlmann in Journal of Abnormal Psychology: Temporal dynamics of insight in body dysmorphic disorder.

2021-01-01

New paper in press by M. Meurer, S. Nestler & A. Oeberst in Journal of Applied Research in Memory and Cognition:  Debiasing media articles - Reducing hindsight bias in the production of written work.

2020-11-02

New paper in press by M. Salazar-Kämpf, S. Nestler, J. Hansmeier, J. Glombiewski & C. Exner in Psychotherapy Research: Mimicry in psychotherapy - an actor partner model of therapists’ and pa-tients’ non-verbal behavior and its effects on the working alliance.

2020-09-04

New paper in press by S. Nestler, O. Luedtke & A. Robitzsch in Psychometrika: Maximum likelihood estimation of a social relations structural equation model.

2020-08-17

New paper in press by M. Bloechl, S. Nestler & D. Weiss in Psychology and Aging: A limit of the subjective age bias: Feeling younger to a certain degree, but no more, is beneficial for life satisfaction.