J. (Jill) de Ron MSc
Postdoctoral researcher
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Area of expertise: Research Methods, Complexity Systems in Psychology, Psychometrics, Psychopathology
Visiting address
- Nieuwe Achtergracht 129
Postal address
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Postbus 15906
1001 NK Amsterdam
Contact details
Social media
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Profile
I am a postdoctoral researcher at the Psychological Methods department at the University of Amsterdam.
One of the central challenges in psychology is bridging theory and data to better understand human thoughts, emotions, and behavior. My work addresses this challenge by developing methodologies to study psychological phenomena as complex systems.
Research expertise
- Research Methods
- Complexity Systems in Psychology
- Psychometrics
- Psychopathology
Other links
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Research
Research methods
- Computational models
- Complexity Science
- Network Analysis
- Dynamical Systems Modeling
- Data Science
Current research projects
Currently, I am focusing on two areas of research: one on developing network models to study the interactions of many psychological variables, and the other on formalizing and testing psychological theories, as well as developing methodologies to create formal models.
Research grants & honours
- Travel grants for a research visit to Richard McNally (Harvard University): Fulbright Scholarship and Prins Bernhard Cultuurfonds
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Teaching
- Research Master Course: Network Analysis
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Publications
2025
van Dongen, N., van Bork, R., Finnemann, A., Haslbeck, J. M. B., van der Maas, H. L. J., Robinaugh, D. J., de Ron, J., Sprenger, J., & Borsboom, D. (2025). Productive Explanation: A Framework for Evaluating Explanations in Psychological Science. Psychological Review, 132(2), 311-329. https://doi.org/10.31234/osf.io/qd69g, https://doi.org/10.1037/rev0000479 [details]
2024
- Boot, J., de Ron, J., Haslbeck, J. M. B., & Epskamp, S. (2024). Correcting for selection bias after conditioning on a sum-score in the Ising model. Manuscript submitted for publication. https://doi.org/10.31219/osf.io/xq8ur
- Briganti, G., Scutari, M., Epskamp, S., Borsboom, D., Hoekstra, R. H. A., Fernandes Golino, H., Christensen, A. P., Morvan, Y., Ebrahimi, O. V., Costantini, G., Heeren, A., de Ron, J., Bringmann, L. F., Huth, K., Haslbeck, J. M. B., Isvoranu, A.-M., Marsman, M., Blanken, T., Gilbert, A., ... McNally, R. J. (2024). Network analysis: An overview for mental health research. International Journal of Methods in Psychiatric Research, 33(4), Article e2034. https://doi.org/10.1002/mpr.2034 [details]
- Hoogeveen, S., Borsboom, D., Kucharský, Š., Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach. Royal Society Open Science, 11(9), Article 240049. https://doi.org/10.1098/rsos.240049 [details]
- Robinaugh, D. J., Haslbeck, J. M. B., Waldorp, L. J., Kossakowski, J. J., Fried, E. I., Millner, A. J., McNally, R. J., Ryan, O., de Ron, J., van der Maas, H. L. J., van Nes, E. H., Scheffer, M., Kendler, K. S., & Borsboom, D. (2024). Advancing the network theory of mental disorders: A computational model of panic disorder. Psychological Review, 131(6), 1482-1508. https://doi.org/10.31234/osf.io/km37w, https://doi.org/10.1037/rev0000515 [details]
2023
- Hoogeveen, S., Sarafoglou, A., Bartoš, F., Beitner, J., De Ron, J., Gligoric, V., Kleinberg, B., Van der Cruyssen, I., van Dongen, N. N. N., van Ravenzwaaij, D., Verschuere, B., Wiechert, S., Zarzeczna, N., van Elk, M., Wagenmakers, E.-J., Većkalov, B., & The MARP Team (2023). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain & Behavior, 13(3), 237-283. https://doi.org/10.1080/2153599X.2022.2070255 [details]
- Huth, K. B. S., de Ron, J., Goudriaan, A. E., Luigjes, J., Mohammadi, R., van Holst, R. J., Wagenmakers, E.-J., & Marsman, M. (2023). Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP. Advances in Methods and Practices in Psychological Science, 6(4). https://doi.org/10.1177/25152459231193334 [details]
- de Ron, J., Deserno, M., Robinaugh, D., Borsboom, D., & van der Maas, H. L. J. (2023). Towards a general modeling framework of resource competition in cognitive development. Child Development, 94(6), 1432-1453. https://doi.org/10.1111/cdev.13973 [details]
2022
- de Ron, J., Robinaugh, D. J., Fried, E. I., Pedrelli, P., Jain, F. A., Mischoulon, D., & Epskamp, S. (2022). Quantifying and addressing the impact of measurement error in network models. Behaviour Research and Therapy, 157, Article 104163. https://doi.org/10.1016/j.brat.2022.104163 [details]
2021
- de Ron, J., Fried, E. I., & Epskamp, S. (2021). Psychological networks in clinical populations: investigating the consequences of Berkson’s bias. Psychological Medicine, 51(1), 168-176. https://doi.org/10.1017/S0033291719003209, https://doi.org/10.1017/S0033291719003209 [details]
2024
- van Dongen, N., van Bork, R., Finnemann, A., Haslbeck, J. M. B., van der Maas, H. L. J., Robinaugh, D. J., de Ron, J., Sprenger, J., & Borsboom, D. (2024). Productive Explanation: A Framework for Evaluating Explanations in Psychological Science. PsyArXiv. https://doi.org/10.31234/osf.io/qd69g [details]
2023
- Bartoš, F., Sarafoglou, A. S. G., Godmann, H. R., Sahrani, A., Klein Leunk, D., Gui, P. Y., Voss, D., Ullah, K., Zoubek, M. J., Nippold, F., Aust, F., Vieira, F. F., Islam, C.-G., Zoubek, A. J., Shabani, S., Petter, J., Roos, I. B., Finnemann, A. T. K., Lob, A. B., ... Wagenmakers, E. M. (2023). Fair coins tend to land on the same side they started: Evidence from 350,757 flips. (pp. 1-12). ArXiv. https://doi.org/10.48550/arXiv.2310.04153
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Ancillary activities
No ancillary activities
van Dongen, N., van Bork, R., Finnemann, A., Haslbeck, J. M. B., van der Maas, H. L. J., Robinaugh, D. J., de Ron, J., Sprenger, J., & Borsboom, D. (2025). Productive Explanation: A Framework for Evaluating Explanations in Psychological Science. Psychological Review, 132(2), 311-329.