Cubicus

dr.ir. G.J.A. Fox (Jean-Paul)

Associate Professor
BMS-LDT-CODE
Cubicus B331
g.j.a.fox@utwente.nl
+31534893326
Business card

I work at the University of Twente, Faculty of Behavioral, Management, and Social Sciences, in the Department of Research Methodology, Measurement and Data Analysis. My research activities cover different areas in Bayesian item response modeling and the development of Bayesian statistical methods for clinical data and randomized clinical trials.

Main interest is focused on complex latent variable modeling in higher-dimensional problems. The areas of modeling research relate to theory and methods of multivariate analysis, stochastic simulation, mixed effects modeling, among other things. Applications and data analyses are executed in the field of educational, medical, and psychological research.

I am working on the development and application of Bayesian response models for large-scale comparative survey research. In various publications the Bayesian modeling approach is proposed that addresses well-known methodological issues, as they arise in large-scale comparative survey research.

Jean-Paul Fox – Bayesian Psychometrics

Expertise

  • Psychology

    • Assessment
    • Behavior
    • Reaction Time
    • Measurement
    • Data-Based Decision Making

  • Mathematics

    • Bayesian
    • Response Time
    • Modeling

Organisations

My research activities cover different areas in Bayesian item response modeling and the development of Bayesian statistical methods for clinical and randomized clinical trial data.

Main interest is focused on complex latent variable modeling in higher-dimensional problems. The areas of modeling research relate to theory and methods of multivariate analysis, stochastic simulation, mixed effects modeling, among other things. Applications and data analyses are executed in the field of educational, medical, and psychological research.

I am working on the development and application of Bayesian response models for large-scale comparative survey research. In various publications the Bayesian modeling approach is proposed that addresses well-known methodological issues, as they arise in large-scale comparative survey research.

Jean-Paul Fox – Bayesian Psychometrics

Publications

2023
R-package LNIRT for joint modeling of response accuracy and times, Article e1232, 1-33. Fox, J.-P., Klotzke, K. & Simsek, A. S.https://doi.org/10.7717/peerj-cs.1232Assessing an Alternative for “Negative Variance Components”: A Gentle Introduction to Bayesian Covariance Structure Modeling for Negative Associations Among Patients With Personalized Treatments, 1-20. Fox, J. P. & Smink, W. A. C.https://doi.org/10.1037/met0000442
2022
Bayesian longitudinal item response modeling with multivariate asymmetric serial dependencies, 488-523. Silva dos Santos, J. R., Naberezny Azevedo, C. L. & Fox, J. P.https://doi.org/10.1080/00949655.2021.1965604Bayesian Covariance Structure Modeling of Multi-Way Nested Data, 1-30. ArXiv.org. Baas, S. P. R., Boucherie, R. J. & Fox, J.-P. G. J. A.
2021
Generalized Linear Randomized Response Modeling using GLMMRR, 600-623. Fox, J. P., Klotzke, K. & Veen, D.https://doi.org/10.32614/RJ-2021-104The Bayesian Covariance Structure Model for Testlets, 219-243. Fox, J. P., Wenzel, J. & Klotzke, K.https://doi.org/10.3102/1076998620941204Small and negative correlations among clustered observations: Limitations of the linear mixed effects model, 51-77. Nielsen, N. M., Smink, W. A. C. & Fox, J.-P. G. J. A.https://doi.org/10.1007/s41237-020-00130-8
2020
Bayesian covariance structure modelling for measurement invariance testing, 385-410. Fox, J. P., Koops, J., Feskens, R. & Beinhauer, L.https://doi.org/10.1007/s41237-020-00119-3Latent growth modeling of IRT versus CTT measured longitudinal latent variables, 962-986. Gorter, R., Fox, J.-P., ter Riet, G., Heymans, M. W. & Twisk, J. W. R.https://doi.org/10.1177/0962280219856375Reaction to “Sufficient statistics and insufficient explanations”: Use your information, 991-995. Fox, J. P.https://doi.org/10.1177/0962280219893460

Other contributions

Fox, J.-P. and Smink, W.A.C. (2021). Assessing an alternative for ‘negative variance components’: A gentle introduction to Bayesian covariance structure modelling for negative associations among patients with personalized treatments. arXiv, 2106.10107.

Fox, J.-P., Klotzke, K.K., Veen, D. (2021). Generalized linear randomized response modeling using GLMMRR. arXiv, 2106.10171.

Fox, J.-P., Klotzke, K. Simsek, A.S. (2021). LNIRT: An R Package for joint modeling of response accuracy and times. arXiv, 2106.10144.

Research profiles

Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023

Address

University of Twente

Cubicus (building no. 41), room B331
De Zul 10
7522 NJ Enschede
Netherlands

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