D. (Don) van den Bergh MSc
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
- Nieuwe Achtergracht 129
Postal address
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Postbus 15906
1001 NK Amsterdam
Contact details
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About me
I am a PhD student at the department of psychological methods. My research interests revolve around psychometrics and Bayesian statistics. I also make statistical analyses more accessible in the form of R packages or JASP modules.
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Publications
2025
- Marsman, M., van den Bergh, D., & Haslbeck, J. M. B. (2025). Bayesian Analysis of the Ordinal Markov Random Field. Psychometrika. Advance online publication. https://doi.org/10.1017/psy.2024.4
2024
- Dablander, F., van den Bergh, D., Ly, A., & Wagenmakers, E. M. (2024). Default Bayes Factors for Testing the (In)equality of Several Population Variances. Bayesian Analysis, 19(3), 699-723. https://doi.org/10.48550/arXiv.2003.06278, https://doi.org/10.1214/23-BA1369
Huth, K. B. S., Keetelaar, S., Sekulovski, N., van den Bergh, D., & Marsman, M. (2024). Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package. Advances.in/psychology, 2, Article e66366. https://doi.org/10.56296/aip00010 [details]- Maier, M., Bartoš, F., Quintana, D., Dablander, F., van den Bergh, D., Marsman, M., Ly, A., & Wagenmakers, E. M. (2024). Model-Averaged Bayesian t-Tests. Psychonomic Bulletin & Review. Advance online publication. https://doi.org/10.3758/s13423-024-02590-5
- Sarafoglou, A., Hoogeveen, S., van den Bergh, D., Aczel, B., Albers, C. J., Althoff, T., Botvinik-Nezer, R., Busch, N. A., Cataldo, A. M., Devezer, B., van Dongen, N. N. N., Dreber, A., Fried, E. I., Hoekstra, R., Hoffman, S., Holzmeister, F., Huber, J., Huntington-Klein, N., Ioannidis, J., ... Wagenmakers, E. J. (2024). Subjective evidence evaluation survey for many-analysts studies. Royal Society Open Science, 11(7), Article 240125. https://doi.org/10.1098/rsos.240125
- Sekulovski, N., Keetelaar, S., Huth, K., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research, 59(5), 913-933. https://doi.org/10.1080/00273171.2024.2345915 [details]
- van den Bergh, D., Schuringa, E., & Wagenmakers, E. M. (2024). Augmenting Predictive Models in Forensic Psychiatry with Cultural Consensus Theory. Journal of the Royal Statistical Society. Series C: Applied Statistics, 73(1), 540-556. https://doi.org/10.1093/jrsssc/qlad109
2023
- Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2023). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods, 28(3), 558-579. https://doi.org/10.31234/osf.io/cu43g, https://doi.org/10.1037/met0000454 [details]
- Pfadt, J. M., Bergh, D. V. D., Sijtsma, K., & Wagenmakers, E. J. (2023). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods, 55, 1069-1078. https://doi.org/10.3758/s13428-021-01778-0
- Pfadt, J. M., van den Bergh, D., & Moshagen, M. (2023). Classical and Bayesian Uncertainty Intervals for the Reliability of Multidimensional Scales. Structural Equation Modeling, 30(3), 349-363. https://doi.org/10.1080/10705511.2022.2124162
- Wang, Y., van den Bergh, D., Aust, F., Ly, A., Wagenmakers, E. M., & Hu, C. (2023). The implementation of Bayesian ANOVA in JASP: A Practical Primer. Psychology: Techniques and Application, 11(9), 528-541.
- van den Bergh, D., Vandermeulen, N., Lesterhuis, M., de Maeyer, S., van Steendam, E., Rijlaarsdam, G., & Van den Bergh, H. (2023). How prior information from national assessments can be used when designing experimental studies without a control group. Journal of Writing Research, 14(3), 447-469. https://doi.org/10.17239/jowr-2023.14.03.05 [details]
- van den Bergh, D., Wagenmakers, E.-J., & Aust, F. (2023). Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP. Advances in Methods and Practices in Psychological Science, 6(2). https://doi.org/10.1177/25152459231168024 [details]
2022
- Pfadt, J. M., van den Bergh, D., Sijtsma, K., Moshagen, M., & Wagenmakers, E.-J. (2022). Bayesian Estimation of Single-Test Reliability Coefficients. Multivariate Behavioral Research, 57(4), 620-641. https://doi.org/10.1080/00273171.2021.1891855 [details]
2021
- van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. Advance online publication. https://doi.org/10.3758/s13423-020-01798-5 [details]
- van den Bergh, D., Haaf, J. M., Ly, A., Rouder, J. N., & Wagenmakers, E.-J. (2021). A Cautionary Note on Estimating Effect Size. Advances in Methods and Practices in Psychological Science, 4(1). https://doi.org/10.31234/osf.io/h6pr8, https://doi.org/10.1177/2515245921992035 [details]
- von den Bergh, D., Clyde, M. A., Gupta, A. R. K. N., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., & Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53(6), 2351-2371. https://doi.org/10.31234/osf.io/pqju6, https://doi.org/10.3758/s13428-021-01552-2 [details]
2020
- Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E-J. (2020). A Conceptual Introduction to Bayesian Model Averaging. Advances in Methods and Practices in Psychological Science, 3(2), 200-215. https://doi.org/10.31234/osf.io/wgb64, https://doi.org/10.1177/2515245919898657 [details]
- Landy, J. F., Jia, M. L., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., Ly, A., van den Bergh, D., Marsman, M., Derks, K., Wagenmakers, E-J., Proctor, A., Bartels, D. M., Bauman, C. W., Brady, W. J., ... Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451-479. Advance online publication. https://doi.org/10.1037/bul0000220 [details]
- Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, S., Derks, K., Gronau, Q. F., Raj, A., Boehm, U., van Kesteren, E-J., Hinne, M., Matzke, D., Marsman, M., & Wagenmakers, E-J. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Computational Brain & Behavior, 3(2), 153-161. Advance online publication. https://doi.org/10.31234/osf.io/dhb7x, https://doi.org/10.1007/s42113-019-00070-x [details]
- van den Bergh, D., Bogaerts, S., Spreen, M., Flohr, R., Vandekerckhove, J., Batchelder, W. H., & Wagenmakers, E.-J. (2020). Cultural Consensus Theory for the evaluation of patients’ mental health scores in forensic psychiatric hospitals. Journal of Mathematical Psychology, 98, Article 102383. https://doi.org/10.1016/j.jmp.2020.102383 [details]
- van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073 [details]
2019
- Barbalat, G., van den Bergh, D., & Kossakowski, J. J. (2019). Outcome measurement in mental health services: insights from symptom networks. BMC Psychiatry, 19, Article 202. https://doi.org/10.1186/s12888-019-2175-7 [details]
- Selker, R., van den Bergh, D., Criss, A. H., & Wagenmakers, E-J. (2019). Parsimonious estimation of signal detection models from confidence ratings. Behavior Research Methods, 51(5), 1953-1967. https://doi.org/10.3758/s13428-019-01231-3 [details]
2018
- Aczel, B., Palfi, B., Szollosi, A., Kovacs, M., Szaszi, B., Szecsi, P., Zrubka, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2018). Quantifying Support for the Null Hypothesis in Psychology: An Empirical Investigation. Advances in Methods and Practices in Psychological Science, 1(3), 357-366. https://doi.org/10.1177/2515245918773742 [details]
- Wagenmakers, E-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E-J., van Doorn, J., Šmíra, M., Epskamp, S., Etz, A., Matzke, D., ... Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25(1), 58-76. Advance online publication. https://doi.org/10.3758/s13423-017-1323-7 [details]
2023
- Kucharský, S., Wagenmakers, E. M., van den Bergh, D., & Ly, A. (2023). Analytic Posterior Distribution and Bayes Factor for Pearson Partial Correlations. (pp. 1-32). PsyArXiv. https://doi.org/10.31234/osf.io/6muwy
- Marsman, M., Huth, K. B. S., Sekulovski, N., & van den Bergh, D. (2023). bgms: Bayesian analysis of networks of binary and/or ordinal variables. Software, CRAN. https://doi.org/10.32614/CRAN.package.bgms
- Wagenmakers, E. M., Kucharský, S., van Doorn, J. B., & van den Bergh, D. (2023). Accessible and Sustainable Statistics with JASP. (pp. 1-12). PsyArXiv. https://doi.org/10.31234/osf.io/ud2vj
2022
- Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2022). A review of applications of the Bayes factor in psychological research. (v3 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/cu43g [details]
2021
- Verschuere, B., De Schryver, M., van den Bergh, D., Wagenmakers, E.-J., & Meijer, E. (2021). Are dishonest politicians more likely to be reelected? A Bayesian view. Proceedings of the National Academy of Sciences of the United States of America, 118(6), Article e2022718118. https://doi.org/10.1073/pnas.2022718118 [details]
2017
- Wagenmakers, E. M., Marsman, M., van den Bergh, D., Chambers, C., Pashler, H., de Ruiter, J. P., Fischer, A., Giner-Sorolla, R., Inzlicht, M., Jonas, K. J., Cesario, J., Borsboom, D., van der Maas, H., Harris, C., Freitas, A., Vazire, S., Gervais, W., Milyavskaya, M., Dunn, E. W., ... Tullett, A. (2017). Suggestions to Advance Your Mission: An Open Letter to Dr. Shinobu Kitayama, Editor of JPSP:ASC. PsyArXiv. https://doi.org/10.31234/osf.io/39ugj
2021
- Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E-J. (2021). Bayesian inference with JASP. ISBA Bulletin, 28(1), 7-15. https://bayesian.org/wp-content/uploads/2021/03/2103.pdf [details]
2023
- Wagenmakers, E. M., van Doorn, J. B., & van den Bergh, D. (2023). Toegankelijke en duurzame statistiek met JASP. STAtOR, 24, 41-47.
2015
- Tio, P., Renkewitz, F., Bell, R., Selterman, D., Thomas, S. L., Martinez, T., Voracek, M., Van Doorn, J., Ostkamp, L., Galak, J., Pipitone, R. ., Epskamp, S., Hodsoll, J., Axt, J., Van Rijn, H., Bartmess, E., Strohminger, N., Beyan, L., Hung, C. O.-Y., … Scholz, S. (1-1-2015). Data from: Estimating the reproducibility of psychological science. Singapore Management University. https://doi.org/10.25440/smu.12062757.v1
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Ancillary activities
- No ancillary activities
Huth, K. B. S., Keetelaar, S., Sekulovski, N., van den Bergh, D., & Marsman, M. (2024). Simplifying Bayesian analysis of graphical models for the social sciences with easybgm: A user-friendly R-package. Advances.in/psychology, 2, Article e66366.