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,Ā medical,Ā and psychological research.

IĀ 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 ā€“ 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,Ā medical,Ā and psychological research.

IĀ 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 ā€“ Bayesian Psychometrics

Publications

2024

Bayesian covariance structure modeling of interval-censored multi-way nested survival data (2024)Journal of multivariate analysis, 204. Article 105359. Baas, S., Fox, J. P. & Boucherie, R. J.https://doi.org/10.1016/j.jmva.2024.105359Redefining Item Response Models for Small Samples (2024)Journal of educational and behavioral statistics (E-pub ahead of print/First online). Fox, J.-P.https://doi.org/10.3102/10769986241269886Computational methods for Bayesian covariance structure modeling and multi-armed bandit-based design of clinical trials (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Baas, S. P. R.https://doi.org/10.3990/1.9789036562614

2023

R-package LNIRT for joint modeling of response accuracy and times (2023)PeerJ computer science, 9(e1232), 1-33. Article e1232. Fox, J.-P., Klotzke, K. & Simsek, A. S.https://doi.org/10.7717/peerj-cs.1232Assessing an Alternative for ā€œNegative Variance Componentsā€: A Gentle Introduction to Bayesian Covariance Structure Modeling for Negative Associations Among Patients With Personalized Treatments (2023)Psychological methods, 28(1), 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 (2022)Journal of Statistical Computation and Simulation, 92(3), 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 (2022)[Working paper › Working paper]. ArXiv.org. Baas, S. P. R., Boucherie, R. J. & Fox, J.-P. G. J. A.https://doi.org/10.48550/arXiv.2201.10612

2021

Generalized Linear Randomized Response Modeling using GLMMRR (2021)R journal, 13(2), 600-623. Fox, J. P., Klotzke, K. & Veen, D.https://doi.org/10.32614/RJ-2021-104BFpack: Flexible Bayes Factor Testing of Scientific Theories in R (2021)Journal of statistical software, 100(18), 1-63. Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink, M., Menke, J., van Aert, R., Fox, J. P., Hoijtink, H., Rosseel, Y., Wagenmakers, E. J. & van Lissa, C.https://doi.org/10.18637/JSS.V100.I18The Bayesian Covariance Structure Model for Testlets (2021)Journal of educational and behavioral statistics, 46(2), 219-243. Fox, J. P., Wenzel, J. & Klotzke, K.https://doi.org/10.3102/1076998620941204

Other contributions

Fox, J.-P. and Smink, W.A.C. (2021). Assessing an alternative for ā€˜negative variance componentsā€™: 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

Address

University of Twente

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

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University of Twente

Capitool 15 (building no. 78), room 344
Capitool 15
7521 PL Enschede
Netherlands

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Organisations

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