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How to find us dr. D. (Don) van Ravenzwaaij

dr. D. (Don) van Ravenzwaaij

Associate Professor

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

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Netherlands
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  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. Field, S. M., Wagenmakers, E-J., Kiers, H. A. L., Hoekstra, R., Ernst, A. F., & van Ravenzwaaij, D. (2020). The Effect of Preregistration on Trust in Empirical Research Findings: Results of a Registered Report. Royal Society Open Science, 7(4), [181351]. https://doi.org/10.1098/rsos.181351
  4. van Ravenzwaaij, D., Brown, S., Marley, A., & Heathcote, A. (2020). Accumulating Advantages: A New Conceptualization of Rapid Multiple Choice. Psychological Review, 127(2), 186-215. https://doi.org/10.1037/rev0000166
  5. Konstantinidis, E., van Ravenzwaaij, D., Guney, S., & Newell, B. R. (2020). Now for Sure or Later with a Risk? Modeling Risky Inter-Temporal Choice as Accumulated Preference. Decision, 7(2), 91-120. https://doi.org/10.1037/dec0000103
  6. Pittelkow, M., Hoekstra, R., Karsten, J., & Ravenzwaaij, van, D. (Accepted/In press). Replication Target Selection in Clinical Psychology: A Bayesian and Qualitative Re-Evaluation​. Clinical Psychology: Science and Practice.
  7. van Ravenzwaaij, D., & Etz, A. (Accepted/In press). Simulation Studies as a Tool to Understand Bayes Factors. Advances in Methods and Practices in Psychological Science.
  8. 2019
  9. 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
  10. Crisan, D. R., Tendeiro, J. N., Wanders, R. B. K., van Ravenzwaaij, D., Meijer, R. R., & Hartman, C. A. (2019). Practical consequences of model misfit when using rating scales to assess the severity of attention problems in children. International Journal of Methods in Psychiatric Research, 28(4), [e1795]. https://doi.org/10.1002/mpr.1795
  11. van Ravenzwaaij, D., & Ioannidis, J. P. A. (2019). True and False Positive Rates for Different Criteria of Evaluating Statistical Evidence from Clinical Trials. BMC Medical Research Methodology, 19(1), [218]. https://doi.org/10.1186/s12874-019-0865-y
  12. Field, S. M., Hoekstra, R., Bringmann, L., & van Ravenzwaaij, D. (2019). When and Why to Replicate: As Easy as 1, 2, 3? Collabra: Psychology, 5(1), [46]. https://doi.org/10.1525/collabra.218
  13. 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
  14. van Ravenzwaaij, D., Monden, R., Tendeiro, J. N., & Ioannidis, J. P. A. (2019). Bayes factors for superiority, non-inferiority, and equivalence designs. BMC Medical Research Methodology, 19(1), [71]. https://doi.org/10.1186/s12874-019-0699-7
  15. 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
  16. 2018
  17. 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
  18. Albers, C. J., Kiers, H. A. L., & van Ravenzwaaij, D. (2018). Credible Confidence: A Pragmatic View on the Frequentist vs Bayesian Debate. Collabra: Psychology, 4(1), [31]. https://doi.org/10.1525/collabra.149
  19. Monden, R., Roest, A. M., van Ravenzwaaij, D., Wagenmakers, E-J., Morey, R., Wardenaar, K. J., & de Jonge, P. (2018). The comparative evidence basis for the efficacy of second-generation antidepressants in the treatment of depression in the US: A Bayesian meta-analysis of Food and Drug Administration reviews. Journal of Affective Disorders, 235, 393-398. https://doi.org/10.1016/j.jad.2018.04.040
  20. CACATU consortium (2018). Predicting inflammatory bowel disease in children with abdominal pain and diarrhoea: calgranulin-C versus calprotectin stool tests. Archives of Disease in Childhood, 103(6), 565-571. https://doi.org/10.1136/archdischild-2017-314081
  21. Campbell, L., Hanlon, M-C., Cherrie, G., Harvey, C., Stain, H. J., Cohen, M., van Ravenzwaaij, D., & Brown, S. D. (2018). Severity of Illness and Adaptive Functioning Predict Quality of Care of Children Among Parents with Psychotic Disorders: A Confirmatory Factor Analysis. Australian and new zealand journal of psychiatry, 52(5), 435-445. https://doi.org/10.1177/0004867417731526
  22. Ernst, A. F., Hoekstra, R., Wagenmakers, E-J., Gelman, A., & van Ravenzwaaij, D. (2018). Do Researchers Anchor their Beliefs on the Outcome of an Initial Study? Testing the Time-Reversal Heuristic. Experimental psychology, 65(3), 158-169. https://doi.org/10.17605/OSF.IO/EHYM3, https://doi.org/10.1027/1618-3169/a000402
  23. Hoekstra, R., Monden, R., van Ravenzwaaij, D., & Wagenmakers, E-J. (2018). Bayesian reanalysis of null results reported in medicine: Strong yet variable evidence for the absence of treatment effects. PLoS ONE, 13(4), [0195474]. https://doi.org/10.1371/journal.pone.0195474
  24. 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
  25. van Ravenzwaaij, D., Cassey, P., & Brown, S. D. (2018). A simple introduction to Markov Chain Monte-Carlo sampling. Psychonomic Bulletin & Review, 25(1), 143-154. https://doi.org/10.3758/s13423-016-1015-8
  26. 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
  27. 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.
  28. 2017
  29. Tillman, G., Osth, A. F., van Ravenzwaaij, D., & Heathcote, A. (2017). A diffusion decision model analysis of evidence variability in the lexical decision task. Psychonomic Bulletin & Review, 24(6), 1949-1956. https://doi.org/10.3758/s13423-017-1259-y
  30. Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2017). Hold it! The influence of lingering rewards on choice diversification and persistence. Journal of Experimental Psychology: Learning, Memory and Cognition, 43(11), 1752-1767. https://doi.org/10.1037/xlm0000407
  31. van Ravenzwaaij, D., Donkin, C., & Vandekerckhove, J. (2017). The EZ diffusion model provides a powerful test of simple empirical effects. Psychonomic Bulletin & Review, 24(2), 547-556. https://doi.org/10.3758/s13423-016-1081-y
  32. van Ravenzwaaij, D., & Ioannidis, J. P. A. (2017). A simulation study of the strength of evidence in the recommendation of medications based on two trials with statistically significant results. PLoS ONE, 12(3), [e0173184]. https://doi.org/10.1371/journal.pone.0173184
  33. Tillman, G., Benders, T., Brown, S. D., & van Ravenzwaaij, D. (2017). An evidence accumulation model of acoustic cue weighting in vowel perception. Journal of Phonetics, 61, 1-12. https://doi.org/10.1016/j.wocn.2016.12.001
  34. van Ravenzwaaij, D., Provost, A., & Brown, S. D. (2017). A confirmatory approach for integrating neural and behavioral data into a single model. Journal of Mathematical Psychology, 76(part B), 131-141. https://doi.org/10.1016/j.jmp.2016.04.005
  35. Huizenga, H., van Ravenzwaaij, D., Ridderinkhof, R., & Wetzels, R. (2017). Albright vs. Trump: Scientific evidence for the beneficial effects of careful deliberation (eLetter). Science. http://science.sciencemag.org/content/311/5763/1005/tab-e-letters
  36. 2016
  37. Field, S. M., Wagenmakers, E-J., Newell, B. R., Zeelenberg, R., & van Ravenzwaaij, D. (2016). Two Bayesian tests of the GLOMOsys Model. Journal of Experimental Psychology. General, 145(12), e81-e95. https://doi.org/10.1037/xge0000067
  38. Monden, R., Roest, A. M., Wagenmakers, E. J., van Ravenzwaaij, D., Morey, R., Wardenaar, K., de Vos, S., & de Jonge, P. (2016). Toward evidence-based medicine: the use of bayes factors to evaluate the efficacy of antidepressants. Bipolar Disorders, 18(S1), 66-66.
  39. 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
  40. 2015
  41. Schulze, C., van Ravenzwaaij, D., & Newell, B. R. (2015). Of matchers and maximizers: How competition shapes choice under risk and uncertainty. Cognitive psychology, 78, 78-98. https://doi.org/10.1016/j.cogpsych.2015.03.002
  42. 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.
  43. van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F., & Wagenmakers, E-J. (2015). Paradoxes of optimal decision making: A response to Moran (2014). Psychonomic Bulletin & Review, 22(1), 307-308. https://doi.org/10.3758/s13423-014-0679-1
  44. 2014
  45. Huizenga, H. M., van Duijvenvoorde, A., van Ravenzwaaij, D., Wetzels, R., & Jansen, B. (2014). Is the unconscious, if it exists, a superior decision maker? Behavioral and Brain Sciences, 37(1), 32-33. https://doi.org/10.1017/S0140525X13000769
  46. van Ravenzwaaij, D., Moore, C. P., Lee, M. D., & Newell, B. R. (2014). A hierarchical Bayesian modeling approach to searching and stopping in multi-attribute judgment. Cognitive Science, 38(7), 1384-1405. https://doi.org/10.1111/cogs.12119
  47. van Ravenzwaaij, D., Boekel, W., Forstmann, B., Ratcliff, R., & Wagenmakers, E-J. (2014). Action video games do not improve the speed of information processing in simple perceptual tasks. Journal of Experimental Psychology. General, 143(5), 1794-1805. https://doi.org/10.1037/a0036923
  48. 2013
  49. 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.
  50. Newell, B. R., van Ravenzwaaij, D., & Donkin, C. (2013). A quantum of truth? Querying the alternative benchmark for human cognition. Behavioral and Brain Sciences, 36(3), 300-302. https://doi.org/10.1017/S0140525X12003068
  51. Newell, B. R., Koehler, D. J., James, G., Rakow, T., & van Ravenzwaaij, D. (2013). Probability matching in risky choice: The interplay of feedback and strategy availability. Memory & Cognition, 41(3), 329-338. https://doi.org/10.3758/s13421-012-0268-3
  52. 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.
  53. 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.
  54. 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.
  55. 2012
  56. van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F., & Wagenmakers, E-J. (2012). Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test. Frontiers in Psychology, 132(3), [132]. https://doi.org/10.3389/fpsyg.2012.00132
  57. van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E-J. (2012). A diffusion model decomposition of the effects of alcohol on perceptual decision making. Psychopharmacology, 219(4), 1017-2025. https://doi.org/10.1007/s00213-011-2435-9
  58. Huizenga, H. M., Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E-J. (2012). Four empirical tests of Unconscious Thought Theory. Organizational Behavior and Human Decision Processes, 117(2), 332-340. https://doi.org/10.1016/j.obhdp.2011.11.010
  59. 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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