Head: Prof. Dr. Augustin Kelava
The research area Quantitative Methods is primarily dedicated to the development of statistical procedures for modeling human experience and behavior.
A particular focus of these methodological developments lies in so-called latent variable models. In a research project on nonlinear latent models, the project group is working on the development of estimation procedures for this class of models.
Furthermore, dynamic (time series) models are being developed that can describe longitudinal changes in individual characteristics.
Models for describing cognitive abilities (e.g., IRT, KST, CDM) are a central focus of mathematical psychology.
The psychology of large language models and related validity issues represents a more recent research area.
For an overview of current research activities, please refer to the website of Prof. Dr. Augustin Kelava and the project pages.