dr. D. (Don) van Ravenzwaaij

Associate Professor

dr. D. (Don) van Ravenzwaaij
d.van.ravenzwaaij rug.nl


Postal address:
  1. 2020
  2. Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E-J., Klugkist, I. G., Rouder, J. N., Vandekerckhove, J., Lee, M. D., Morey, R. D., Vanpaemel, W., Dienes, Z., & van Ravenzwaaij, D. (2020). Discussion points for Bayesian inference. Nature Human Behaviour, 4(6), 561-563. https://doi.org/10.1038/s41562-019-0807-z
  3. 2019
  4. Starns, J. J., Cataldo, A. M., Rotello, C. M., Annis, J., Aschenbrenner, A., Broder, A., Cox, G., Criss, A., Curl, R. A., Dobbins, I. G., Dunn, J., Enam, T., Evans, N., Farrell, S., Fraundorf, S. H., Gronlund, S. D., Heathcote, A., Heck, D. W., Hicks, J. L., ... Wilson, J. (2019). Assessing Theoretical Conclusions With Blinded Inference to Investigate a Potential Inference Crisis. Advances in Methods and Practices in Psychological Science, 2, 335-349. https://doi.org/10.1177/2515245919869583
  5. Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., ... Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin and Review, 26(4), 1051–1069. https://doi.org/10.3758/s13423-017-1417-2
  6. van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N., Lakens, D., Hennig, C., Morey, R. D., Homer, S., Gelman, A., Sprenger, J., & Wagenmakers, E-J. (2019). Multiple Perspectives on Inference for Two Simple Statistical Scenarios. American statistician, 73, 328-339. https://doi.org/10.1080/00031305.2019.1565553
  7. 2018
  8. Böhm, U., Annis, J., Frank, M. J., Hawkins, G. E., Heathcote, A., Kellen, D., Krypotos, A-M., Lerche, V., Logan, G. D., Palmeri, T. J., van Ravenzwaaij, D., Servant, M., Singmann, H., Starns, J. J., Voss, A., Wiecki, T. V., Matzke, D., & Wagenmakers, E-J. (2018). Estimating across-trial variability parameters of the diffusion decision model: Expert advice and recommendations. Journal of Mathematical Psychology, 87, 46-75. https://doi.org/10.1016/j.jmp.2018.09.004
  9. Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., White, C., de Boeck, P., & Vandekerckhove, J. (2018). Metastudies for Robust Tests of Theory. Proceedings of the National Academy of Sciences, 115(11), 2607-2612. https://doi.org/10.1073/pnas.1708285114
  10. van Ravenzwaaij, D. (2018). In Vivo: MCMC: A Clever Way to Run the Numbers. In S. Farrell, & S. Lewandowsky (Eds.), Computational Modeling of Cognition and Behaviour (pp. 170-171). Cambridge University Press. https://doi.org/10.1017/CBO9781316272503.008
  11. Luckman, A., Newell, B. R., van Ravenzwaaij, D., Kary, A., & Lewandowsky, S. (2018). Discounting subjective and objective time: Implications for the immediacy, sign and magnitude effects. Manuscript submitted for publication.
  12. 2017
  13. 2016
  14. Cramer, A. O. J., van Ravenzwaaij, D., Matzke, D., Steingroever, H., Wetzels, R., Grasman, R. P. P. P., Waldorp, L. J., & Wagenmakers, E-J. (2016). Hidden multiplicity in multiway ANOVA: Prevalence, consequences, and remedies. Prevalence and remedies. Psychonomic Bulletin & Review, 23(2), 640-647. https://doi.org/10.3758/s13423-015-0913-5
  15. 2015
  16. Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E-J. (2015). Bayesian analysis. In R. Cautin, & S. Lilienfeld (Eds.), The encyclopaedia of clinical psychology (pp. 274-283). Wiley.
  17. 2014
  18. 2013
  19. van Duijn, M., Post, W., Koning, R., & van Ravenzwaaij, D. (2013). Implications of fraud detection for the practice of reviewers and statistics education. Paper presented at 78th International Meeting of the Psychometric Society, Arnhem, Netherlands.
  20. Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2013). Match me if you can: How smart choices are fuelled by competition. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 3372-3377). Cognitive Science Society.
  21. van Ravenzwaaij, D., Lee, M. D., & Wagenmakers, E-J. (2013). The BART model of risk taking. In M. D. Lee, & E-J. Wagenmakers (Eds.), Bayesian cognitive modeling: A practical course (pp. 206-211). Cambridge University Press.
  22. van Ravenzwaaij, D., Newell, B., Moore, C., & Lee, M. (2013). Using recognition in multi-attribute decision environments. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 3627-3632). Cognitive Science Society.
  23. 2012
  24. Dutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E-J. (2012). How to measure post-error slowing: A confound and a simple solution. Journal of Mathematical Psychology, 56(3), 208-216. https://doi.org/10.1016/j.jmp.2012.04.001
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