The Research Group of Quantitative Psychology and Individual Differences combines the study of substantive psychological issues with the development of quantitative models and associated algorithms. On the basis of substantive theories and questions, we develop novel models and algorithms. In their turn, these are being used in substantive research to sharpen theories, to formulate novel research questions, and to analyze empirical data.

Central families of models we focus on include generalized (non)linear mixed models, clustering models, dynamic process and reaction time models, and models for multiway data. Key substantive themes include the study of the basic structure and underlying processes of individual differences in personality and emotion, and affective dynamics. Recently, we have also devoted special attention to the development of suitable models for the analysis of 'omics' data in bioinformatics.

The research group takes part in the Interuniversity Graduate School of Psychometrics and Sociometrics and in an Interuniversity Attraction Pole on statistics.

You may contact the research group via Jasmine Vanuytrecht.