D. (Don) van den Bergh MSc
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
- Nieuwe Achtergracht 129
Postal address
- Postbus 15906
1001 NK Amsterdam
Contact details
-
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.
-
Publications
2023
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
2022
- 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. 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. 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. 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. 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
- 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
- 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. 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. 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, [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, [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. https://doi.org/10.3758/s13423-017-1323-7 [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), [e2022718118]. 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
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]
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
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list. -
Ancillary activities
- No ancillary activities
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.