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Results: 20
Number of items: 20
  • Stefan, A. M., Gronau, Q. F., & Wagenmakers, E.-J. (2025). Interim Design Analysis Using Bayes Factor Forecasts. Psychological Methods, 30(6), 1198-1217. https://doi.org/10.1037/met0000641
  • Open Access
    Veenman, M., Stefan, A. M., & Haaf, J. M. (2024). Bayesian hierarchical modeling: an introduction and reassessment. Behavior Research Methods, 56(5), 4600–4631. https://doi.org/10.3758/s13428-023-02204-3
  • 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
    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
    Werner, G. G., Cludius, B., Sckopke, P., Stefan, A., Schönbrodt, F., & Zygar-Hoffmann, C. (2023). The predictive power of insomnia symptoms on other aspects of mental health during the COVID-19 pandemic: a longitudinal study. Journal of Sleep Research, 32(1), Article e13641. https://doi.org/10.1111/jsr.13641
  • Open Access
    Stefan, A. M. (2023). Bayesian power. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3
  • Open Access
    Stefan, A. M., & Schönbrodt, F. D. (2023). Big little lies: a compendium and simulation of p-hacking strategies. Royal Society Open Science, 10(2), Article 220346. https://doi.org/10.1098/rsos.220346
  • 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
    van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models: Perspective on Responses. Computational Brain and Behavior, 6(1), 127–139. https://doi.org/10.1007/s42113-022-00158-x
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