Our research focusses on the advancement of statistical methods for the analysis of complex psychological data. We are also interested in applications of Brunswik’s lens model approach in psychological research such as the accuracy of personality judgments.
Current projects include the application of instrumental variables to estimate the parameters in structural equation models, using cross-random effect models for the analysis of social relations model data and social network data, modeling intra-individual variability, and we examine whether and how to apply factor analysis methods to analyze EEG data. Furthermore, we investigate processes underlying the accuracy of personality judgments (e.g., perceiver effect biases) or the psychological consequences of cardiovascular diseases. Finally, we are contributors and/or authors of different R packages.