Search results
Results: 408
Number of items: 408
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Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default “Gunel and Dickey” Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638-652. https://doi.org/10.3758/s13428-016-0739-8 -
van Elk, M., & Wagenmakers, E.-J. (2017). Can the experimental study of religion be advanced using a Bayesian predictive framework? Religion, Brain & Behavior, 7(4), 331-334. https://doi.org/10.1080/2153599X.2016.1249915 -
Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie Du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., & Ioannidis, J. P. A. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1(1), Article 0021. https://doi.org/10.1038/s41562-016-0021 -
Forstmeier, W., Wagenmakers, E. J., & Parker, T. H. (2017). Detecting and avoiding likely false-positive findings: A practical guide. Biological Reviews of the Cambridge Philosophical Society, 92(4), 1941–1968. https://doi.org/10.1111/brv.12315 -
Marsman, M., Schönbrodt, F. D., Morey, R. D., Yao, Y., Gelman, A., & Wagenmakers, E.-J. (2017). A Bayesian bird's eye view of 'Replications of important results in social psychology'. Royal Society Open Science, 4(1), Article 160426. https://doi.org/10.1098/rsos.160426, https://doi.org/10.1098/rsos.170085 -
Jamil, T., Marsman, M., Ly, A., Morey, R. D., & Wagenmakers, E.-J. (2017). What Are the Odds? Modern Relevance and Bayes Factor Solutions for MacAlister’s Problem From the 1881 Educational Times. Educational and Psychological Measurement, 77(5), 819-830. https://doi.org/10.1177/0013164416667980 -
Ly, A., Marsman, M., Verhagen, J., Grasman, R. P. P. P., & Wagenmakers, E.-M. (2017). A tutorial on Fisher information. Journal of Mathematical Psychology, 80, 40-55. https://doi.org/10.1016/j.jmp.2017.05.006 -
Etz, A., & Wagenmakers, E.-J. (2017). J. B. S. Haldane's contribution to the bayes factor hypothesis test. Statistical Science, 32(2), 313-329. https://doi.org/10.1214/16-STS599 -
van Doorn, J., Ly, A., Marsman, M., Wagenmakers, E.-J., & Eric-Jan, W. (2016). Bayesian Inference for Kendall's Rank Correlation Coefficient [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.4452449
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