Publications

2022

Heck, D., Boehm, U., Böing-Messing, F. Bürkner, P. C., Derks, K., ... Hoijtink, H. (2022). A review of applications of the Bayes factor in psychological research. Psychological Methods.

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Derks, K., de Swart, J., & Wetzels, R. (2022). Een Bayesiaanse blik op gestratificeerde steekproeven heeft voordelen voor de auditor. Maandblad voor Accountancy en Bedrijfseconomie, 96(1/2), 37-46.

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2021

Derks, K., de Swart, J., Wagenmakers, E.-J., Wille, J., & Wetzels, R. (2021). JASP for Audit: Bayesian Tools for the Auditing Practice. Journal of Open Source Software, 6(68), 2733.

Online version



Derks, K., de Swart, J., van Batenburg, P., Wagenmakers, E.-J., & Wetzels, R. (2021). Priors in a Bayesian audit: How integration of existing information into the prior distribution can improve audit transparency and efficiency. International Journal of Auditing, 25(3), 621-636.

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van Doorn, J., van den Bergh, D., Dablander, F., van Dongen, N., Derks, K., ... Wagenmakers, E.-J. (2021). Strong public claims may not reflect researchers’ private convictions. Significance, 18(1), 44-45.

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2020

Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., ... Wagenmakers, E.-J. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Comput Brain Behav, 3, 153-161.

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van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E., Derks, K., ... Wagenmakers, E.-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. L' Année psychologique, 120(1), 73 - 96.

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Landy, J. F., Jia, M., Ding, I. L., Viganola, D., Tierney, W., ... Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451-479.

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van Doorn, J., van den Bergh, D., Bohm, U., Dablander, F., Derks, K., Draws, T., ... Wagenmakers, E.-J. (2020). The JASP Guidelines for Conducting and Reporting a Bayesian Analysis. Psychonomic Bulletin & Review.

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2018

Derks, K., Burger, J., van Doorn, J., Kossakowski, J. J., Matzke, D., Atticciati, L., ... 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.

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PDF version



Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., ... Morey, R. D. (2018). Bayesian inference for psychology. part ii: Example applications with jasp. Psychonomic Bulletin & Review, 25(1), 58–76.

Online version

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Derks, K. van Doorn, J. & Marsman, M. (2018). Extending the Bayesian arsenal: An assumpion check for normality. Research Master thesis

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