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Results: 408
Number of items: 408
  • Open Access
    Mulder, J., Wagenmakers, E.-J., & Marsman, M. (2022). A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses. American Statistician, 76(2), 102-109. https://doi.org/10.1080/00031305.2020.1799861
  • Vohs, K. D., Gronau, Q. F., & Wagenmakers, E. M. (2021). A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect. Psychological Science, 32(10), 1566-1581. https://doi.org/10.31234/osf.io/e497p, https://doi.org/10.1177/0956797621989733
  • van Doorn, J., & Wagenmakers, E.-J. (2021). Strong public claims may not reflect researchers' private convictions. Significance, 18(1), 44-45. https://doi.org/10.1111/1740-9713.01493
  • Wagenmakers, E. J. (2021). Defiant Denial is Self-Defeating. Psychological Inquiry, 32(1), 12-16. https://doi.org/10.1080/1047840X.2021.1889314
  • Wagenmakers, E.-J., Sarafoglou, A., Aarts, S., Albers, C., Algermissen, J., Bahník, Š., van Dongen, N., Hoekstra, R., Moreau, D., van Ravenzwaaij, D., Sluga, A., Stanke, F., Tendeiro, J., & Aczel, B. (2021). Seven steps toward more transparency in statistical practice. Nature Human Behaviour, 5(11), 1473-1480. https://doi.org/10.1038/s41562-021-01211-8
  • Temp, A. G. M., Lutz, M. W., Trepel, D., Tang, Y., Wagenmakers, E. J., Khachaturian, A. S., & Teipel, S. (2021). How Bayesian statistics may help answer some of the controversial questions in clinical research on Alzheimer's disease. Alzheimer's and Dementia, 17(6), 917-919. https://doi.org/10.1002/alz.12374
  • Derks, K., de Swart, J., van Batenburg, P., Wagenmakers, E.-J., & Wetzels, R. (2021). Priors in a Bayesian audit: How integration of existing information into the prior distribution can improve audit transparency and efficiency. International Journal of Auditing, 25(3), 621-636. https://doi.org/10.1111/ijau.12240
  • Wagenmakers, E.-M. (2021). [Review of: A. Clayton (2021) Bernoulli’s Fallacy : Statistical Illogic and the Crisis of Modern Science]. Chance, 34(4), 37-38. https://doi.org/10.1080/09332480.2021.2003642
  • Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E.-J. (2021). Bayesian inference with JASP. ISBA Bulletin, 28(1), 7-15. https://bayesian.org/wp-content/uploads/2021/03/2103.pdf
  • Open Access
    von den Bergh, D., Clyde, M. A., Gupta, A. R. K. N., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., & Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53(6), 2351-2371. https://doi.org/10.31234/osf.io/pqju6, https://doi.org/10.3758/s13428-021-01552-2
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