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Results: 408
Number of items: 408
  • Open Access
    Visser, I., Kucharský, Š., Levelt, C., Stefan, A. M., Wagenmakers, E.-J., & Oakes, L. (2024). Bayesian sample size planning for developmental studies. Infant and Child Development, 33, Article e2412. https://doi.org/10.1002/icd.2412
  • Open Access
    Kucharský, S. (2024). Gazing into a discrete world: Mixture models of cognition & behaviour. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van den Bergh, D. (2024). Embracing uncertainty in multi-step inference. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
  • Hoogeveen, S., Sarafoglou, A., van Elk, M., & Wagenmakers, E.-J. (2023). Introducing the Many-Analysts Religion Project. Religion, Brain and Behavior, 13(3), 233-236. https://doi.org/10.1080/2153599X.2023.2254980
  • Wagenmakers, E.-M., van Doorn, J., & van den Bergh, D. (2023). Toegankelijke en duurzame statistiek met JASP. STAtOR, 24(3-4), 41-47.
  • Wang, Y., van den Bergh, D., Aust, F., Ly, A., Wagenmakers, E.-J., & Hu, C. (2023). 贝叶斯方差分析在JASP中的实现. Xin li ji shu yu ying yong = Psychology: Techniques and Application, 11(9), 528-541. https://doi.org/10.16842/j.cnki.issn2095-5588.2023.09.002
  • Linde, M., Tendeiro, J. N., Selker, R., Wagenmakers, E.-J., & van Ravenzwaaij, D. (2023). Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor. Psychological Methods, 28(3), 740-755. https://doi.org/10.1037/met0000402
  • Gray, J., Cherry, J. L., Wagenmakers, E.-J., & Ly, A. (2023). Reply to the Comment by J. L. Cherry. Archive for History of Exact Sciences, 77(4), 447-449. https://doi.org/10.1007/s00407-023-00310-4
  • Forscher, P. S., Wagenmakers, E.-J., Coles, N. A., Silan, M. A., Dutra, N., Basnight-Brown, D., & IJzerman, H. (2023). The Benefits, Barriers, and Risks of Big-Team Science. Perspectives on Psychological Science, 18(3), 607-623. https://doi.org/10.1177/17456916221082970
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