Search results
Results: 412
Number of items: 412
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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 -
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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Wagenmakers, E.-J., & Ly, A. (2023). History and nature of the Jeffreys–Lindley paradox. Archive for History of Exact Sciences, 77(1), 25-72. https://doi.org/10.1007/s00407-022-00298-3 -
Wagenmakers, E.-J., Sarafoglou, A., & Aczel, B. (2023). Facing the Unknown Unknowns of Data Analysis. Current Directions in Psychological Science, 32(5), 362-368. https://doi.org/10.1177/09637214231168565 -
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
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van Ravenzwaaij, D., Bakker, M., Heesen, R., Romero, F., van Dongen, N., Crüwell, S., Field, S. M., Held, L., Munafò, M. R., Pittelkow, M. M., Tiokhin, L., Traag, V. A., van den Akker, O. R., van 't Veer, A. E., & Wagenmakers, E. J. (2023). Perspectives on Scientific Error. Royal Society Open Science, 10(7), Article 230448. https://doi.org/10.31234/osf.io/wm4v6, https://doi.org/10.1098/rsos.230448 -
Sarafoglou, A., Aust, F., Marsman, M., Bartoš, F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Multibridge: an R package to evaluate informed hypotheses in binomial and multinomial models. Behavior Research Methods, 55(8), 4343-4368. https://doi.org/10.3758/s13428-022-02020-1 -
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 -
Pawel, S., Aust, F., Held, L., & Wagenmakers, E.-J. (2023). Normalized power priors always discount historical data. Stat, 12(1), Article e591. https://doi.org/10.1002/sta4.591
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