Our team focuses on the application and development of quantitative methods in psychology, education, and other social sciences. We conduct research on
- Item response theory,
- Supervised Machine Learning for psychometric testing and questionnaires,
- Interpretable Supervised Machine Learning approaches,
- Functional Data,
- Meta-analysis, especially of diagnostic procedures.
The interdisciplinary research area From Prediction to Agile Interventions in the Social Sciences(FAIR) brings together researchers from the data sciences, statistics, education sciences, psychology, rehabilitation studies, and sociology.