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Results: 412
Number of items: 412
  • Open Access
    van Dongen, N., Sprenger, J., & Wagenmakers, E.-J. (2023). A Bayesian perspective on severity: risky predictions and specific hypotheses. Psychonomic Bulletin and Review, 30(2), 516–533. https://doi.org/10.3758/s13423-022-02069-1
  • Open Access
    Sarafoglou, A., Hoogeveen, S., & Wagenmakers, E.-J. (2023). Comparing Analysis Blinding With Preregistration in the Many-Analysts Religion Project. Advances in Methods and Practices in Psychological Science, 6(1). https://doi.org/10.1177/25152459221128319
  • Open Access
    Hoogeveen, S. (2023). To believe or not to believe: Open science and replication in the psychology of religion. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
  • Open Access
    Bartoš, F., Maier, M., Shanks, D. R., Stanley, T. D., Sladekova, M., & Wagenmakers, E.-J. (2023). Meta-analyses in psychology often overestimate evidence for and size of effects. Royal Society Open Science, 10(7), Article 230224. https://doi.org/10.1098/rsos.230224
  • Open Access
    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
  • Open Access
    Bartoš, F., & Wagenmakers, E.-J. (2023). A general approximation to nested Bayes factors with informed priors. Stat, 12(1), Article e600. https://doi.org/10.1002/sta4.600
  • Open Access
    van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models. Computational Brain and Behavior, 6(1), 1–13. https://doi.org/10.1007/s42113-021-00113-2
  • Open Access
    Hoogeveen, S., Sarafoglou, A., van Elk, M., & Wagenmakers, E.-J. (2023). Many-analysts religion project: reflection and conclusion. Religion, Brain and Behavior, 13(3), 356-363. https://doi.org/10.1080/2153599X.2022.2070263
  • Open Access
    Hardwicke, T. E., & Wagenmakers, E.-J. (2023). Reducing bias, increasing transparency and calibrating confidence with preregistration. Nature Human Behaviour, 7, 15-26. https://doi.org/10.1038/s41562-022-01497-2
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