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Results: 408
Number of items: 408
  • Open Access
    Linde, M., Tendeiro, J. N., Wagenmakers, E.-M., & van Ravenzwaaij, D. (2024). Practical Implications of Equating Equivalence Tests: Reply to Campbell and Gustafson (2022). Psychological Methods, 29(3), 603-605. https://doi.org/10.31234/osf.io/xk43y, https://doi.org/10.1037/met0000549
  • Open Access
    Pawel, S., Ly, A., & Wagenmakers, E.-J. (2024). Evidential Calibration of Confidence Intervals. American Statistician, 78(1), 47-57. https://doi.org/10.1080/00031305.2023.2216239
  • Open Access
    Kucharský, S. (2024). Gazing into a discrete world: Mixture models of cognition & behaviour. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Bartoš, F., Maier, M., Wagenmakers, E.-J., Nippold, F., Doucouliagos, H., Ioannidis, J. P. A., Otte, W. M., Martina, S., Deresssa, T. K., Burns, S. B., Fanelli, D., & Stanley, T. D. (2024). Footprint of publication selection bias on meta-analyses in medicine, environmental sciences, psychology, and economics. Research synthesis methods, 15(3), 500-511. https://doi.org/10.1002/jrsm.1703
  • 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
    Pawel, S., Aust, F., Held, L., & Wagenmakers, E.-J. (2024). Power priors for replication studies. Test, 33(1), 127-154. https://doi.org/10.1007/s11749-023-00888-5
  • Open Access
    Sekulovski, N., Marsman, M., & Wagenmakers, E.-J. (2024). A Good check on the Bayes factor. Behavior Research Methods, 56(8), 8552–8566. https://doi.org/10.3758/s13428-024-02491-4
  • Open Access
    Sarafoglou, A., Bartoš, F., Stefan, A., Haaf, J. M., & Wagenmakers, E.-J. (2024). “This behavior strikes us as ideal”: assessment and anticipations of Huisman (2022). Psychonomic Bulletin and Review, 31(1), 242-248. https://doi.org/10.3758/s13423-023-02299-x
  • Open Access
    van den Bergh, D. (2024). Embracing uncertainty in multi-step inference. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
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