COMputational PSychometrics Group
The COMputational PSychometrics (COMPS) Group, based at the Institute of Computer Science of the Czech Academy of Sciences, advances statistical and computational methods for analyzing measurement in the social sciences. We develop new psychometric models, efficient estimation algorithms, and open-source software such as ShinyItemAnalysis (SIA), difNLR, and others. Our work combines statistical theory, simulation studies, and real data applications, and we collaborate with researchers to bring novel methods into practice.
News
- Professor Adrian Raftery visits COMPS Group at ICS CAS.
- Giuseppe Mignemi joined our team from Bocconi University, welcome Giuseppe!
- Jun Wu received an MSCA-CZ grant (2025-27), congratulations!
- Jan Netík received a GAUK grant (2025-27) from Charles University, congratulations!
- Michaela Cichrová and Michaela Vařejková received a GAUK grant (2024-26) from Charles University, congratulations!
- The COMPS group collaborates on a new OP JAK project DigiWELL, co-financed by the European Union for the period 2024—2028.
- The EduCoDe project funded by the Czech Science Foundation for period 2025—2027!
- The ComPs project (2023—2025) was rated as Excellent by the Czech Science Foundation!
- The COMPS group served as the local organizer for IMPS 2024.
- The book Computational Aspects of Psychometric Methods. With R was published at CRC Press
- Check our new manuscripts.
Our current research
focuses on computational aspects of the following areas of psychometrics:
- Reliability, variance component models
- Latent variable models
- Differential item functioning
- Computerized adaptive testing
- Text mining and NLP for prediction of item difficulty
- Meta-analyses
Our software
offers implementations of our research. We develop the following R packages:
Our research involves simulation studies demonstrating efficacy of proposed algorithms in comparison with existing methods.