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Results: 408
Number of items: 408
  • Open Access
    van Doorn, J. B. (2021). Bayes factor hypothesis tests for ranks and researchers. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink, M., Menke, J., van Aert, R., Fox, J.-P., Hoijtink, H., Rosseel, Y., Wagenmakers, E.-J., & van Lissa, C. (2021). BFpack: Flexible Bayes Factor Testing of Scientific Theories in R. Journal of Statistical Software, 100(18). https://doi.org/10.18637/jss.v100.i18
  • Open Access
    Gronau, Q. F., Heck, D. W., Berkhout, S. W., Haaf, J. M., & Wagenmakers, E.-J. (2021). A Primer on Bayesian Model-Averaged Meta-Analysis. Advances in Methods and Practices in Psychological Science, 4(3). https://doi.org/10.1177/25152459211031256
  • Open Access
    Dutilh, G., Sarafoglou, A., & Wagenmakers, E.-J. (2021). Flexible Yet Fair: Blinding Analyses in Experimental Psychology. Synthese, 198(Supplement issue 23), 5745-5772. https://doi.org/10.31234/osf.io/d79r8, https://doi.org/10.1007/s11229-019-02456-7
  • Open Access
    Bartoš, F., Gronau, Q. F., Timmers, B., Otte, W. M., Ly, A., & Wagenmakers, E.-J. (2021). Bayesian model-averaged meta-analysis in medicine. Statistics in Medicine, 40(30), 6743-6761. https://doi.org/10.1002/sim.9170
  • Open Access
    van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5
  • Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E.-J., Klugkist, I. G., Rouder, J. N., Vandekerckhove, J., Lee, M. D., Morey, R. D., Vanpaemel, W., Dienes, Z., & van Ravenzwaaij, D. (2020). Discussion points for Bayesian inference. Nature Human Behaviour, 4(6), 561–563. https://doi.org/10.1038/s41562-019-0807-z
  • van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073
  • Hutton, J. L., Diggle, P. J., Bird, S. M., Hennig, C., Longford, N., Mathur, M. B., Vander Weele, T. J., Ioannidis, J. P. A., Chai, C. P., Dowe, D. L., Ferguson, J., Fitz-Simon, N., Friede, T., Rover, C., Grieve, A. P., Kumar, K., Ly, A., Mansmann, U., Mateu, J., ... Held, L. (2020). Discussion on the meeting on ‘Signs and sizes: understanding and replicating statistical findings’. Journal of the Royal Statistical Society. Series A (Statistics in Society), 183(2), 449-469. https://doi.org/10.1111/rssa.12544
  • Wagenmakers, E.-J. (2020). Statistical dark arts endanger democracy — and life: Two scourges of the infodemic show how to spot quantitative chicanery. [Review of: C.T. Bergstrom, J.D. West (2020) Calling Bullshit: The Art of Scepticism in a Data‑Driven World]. Nature, 584(7819), 36. https://doi.org/10.1038/d41586-020-02280-x
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