Search results
Results: 25
Number of items: 25
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Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E.-J., van Doorn, J., Šmíra, M., Epskamp, S., Etz, A., Matzke, D., ... Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25(1), 58-76. https://doi.org/10.3758/s13423-017-1323-7 -
Derks, K., Burger, J., van Doorn, J., Kossakowski, J. J., Matzke, D., Atticciati, L., Beitner, J., Benzesin, V., de Bruijn, A. L., Cohen, T. R. H., Cordesius, E. P. A., van Dekken, M., Delvendahl, N., Dobbelaar, S., Groenendijk, E. R., Hermans, M. E., Hiekkaranta, A. P., Hoekstra, R. H. A., Hoffmann, A. M., ... Wagenmakers, E.-J. (2018). Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance. Journal of European Psychology Students, 9, 48-57. https://doi.org/10.5334/jeps.458
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van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2018). Bayesian Inference for Kendall's Rank Correlation Coefficient. American Statistician, 72(4), 303-308. https://doi.org/10.1080/00031305.2016.1264998
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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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Aarts, A. A., et al., U., Borsboom, D., Columbus, S., den Bezemer, B., Deserno, M. K., Epskamp, S., Jonas, K., Kleinberg, B., Kossakowski, J. J., Kunkels, Y. K., Rahal, R.-M., Sahin, O., Skorinko, J. L. M., Tio, P., van Bork, R., van den Bergh, D., van Renswoude, D. R., van Doorn, J., & Wagenmakers, E.-J. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 943. Article aac4716. https://doi.org/10.1126/science.aac4716
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