Search results
Results: 412
Number of items: 412
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van den Bergh, D., Wagenmakers, E.-J., & Aust, F. (2023). Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP. Advances in Methods and Practices in Psychological Science, 6(2). https://doi.org/10.1177/25152459231168024 -
Hardwicke, T. E., & Wagenmakers, E.-J. (2023). Reducing bias, increasing transparency and calibrating confidence with preregistration. Nature Human Behaviour, 7, 15-26. https://doi.org/10.1038/s41562-022-01497-2
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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
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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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Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2023). A Review of Applications of the Bayes Factor in Psychological Research. Psychological Methods, 28(3), 558-579. https://doi.org/10.31234/osf.io/cu43g, https://doi.org/10.1037/met0000454
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Hoogeveen, S., Berkhout, S. W., Gronau, Q. F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Improving Statistical Analysis in Team Science: The Case of a Bayesian Multiverse of Many Labs 4. Advances in Methods and Practices in Psychological Science, 6(3). https://doi.org/10.1177/25152459231182318
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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
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van Dongen, N., Sprenger, J., & Wagenmakers, E.-J. (2023). A Bayesian perspective on severity: risky predictions and specific hypotheses. Psychonomic Bulletin and Review, 30(2), 516–533. https://doi.org/10.3758/s13423-022-02069-1
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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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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
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