Search results
Results: 410
Number of items: 410
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Bartoš, F., Maier, M., Wagenmakers, E.-J., Doucouliagos, H., & Stanley, T. D. (2023). Robust Bayesian meta-analysis: Model-averaging across complementary publication bias adjustment methods. Research synthesis methods, 14(1), 99-116. https://doi.org/10.1002/jrsm.1594 -
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 -
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 -
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 -
Wang, Y., van den Bergh, D., Aust, F., Ly, A., Wagenmakers, E.-J., & Hu, C. (2023). 贝叶斯方差分析在JASP中的实现. Xin li ji shu yu ying yong = Psychology: Techniques and Application, 11(9), 528-541. https://doi.org/10.16842/j.cnki.issn2095-5588.2023.09.002 -
Pfadt, J. M., Bergh, D. V. D., Sijtsma, K., & Wagenmakers, E.-J. (2023). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods, 55(3), 1069-1078. https://doi.org/10.3758/s13428-021-01778-0 -
Sarafoglou, A., Hoogeveen, S., & Wagenmakers, E.-J. (2023). Comparing Analysis Blinding With Preregistration in the Many-Analysts Religion Project. Advances in Methods and Practices in Psychological Science, 6(1). https://doi.org/10.1177/25152459221128319 -
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 -
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
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