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.
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. Advance online publication. 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). Advance online publication. https://doi.org/10.1177/25152459231168024[details]
Pfadt, J. M., Bergh, D. V. D., Sijtsma, K., & Wagenmakers, E. J. (2022). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods. Advance online publication. https://doi.org/10.3758/s13428-021-01778-0
Pfadt, J. M., van den Bergh, D., & Moshagen, M. (2022). Classical and Bayesian Uncertainty Intervals for the Reliability of Multidimensional Scales. Structural Equation Modeling. Advance online publication. https://doi.org/10.1080/10705511.2022.2124162
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. Advance online publication. https://doi.org/10.1080/00273171.2021.1891855[details]
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]
Dablander, F., van den Bergh, D., Ly, A., & Wagenmakers, E. M. (2020). Default Bayes Factors for Testing the (In)equality of Several Population Variances. Manuscript submitted for publication. https://arxiv.org/abs/2003.06278
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]
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]
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. Advance online publication. https://doi.org/10.1073/pnas.2022718118[details]
2020
Heck, D. W., Böhm, 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., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2020). A review of applications of the Bayes factor in psychological research. (PsyArXiv). https://doi.org/10.31234/osf.io/cu43g
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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