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Amsterdam Brain and Cognition (ABC) Amsterdam Brain and Cognition (ABC)

prof. dr. E.M. (Eric-Jan) Wagenmakers

Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Photographer: UvA Persvoorlichting
Visiting address
  • Nieuwe Achtergracht 129
  • Room number: 0.29
Postal address
  • Postbus 15906
    1001 NK Amsterdam
Contact details
  • Publications

    2020

    • Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E. M., & van Ravenzwaaij, D. (2020). Discussion points for Bayesian inference. Nature Human Behaviour. https://doi.org/10.1038/s41562-019-0807-z
    • Aczel, B., Szaszi, B., Sarafoglou, A., Kekecs, Z., Kucharský, Š., Benjamin, D., ... Wagenmakers, E-J. (2020). A consensus-based transparency checklist. Nature Human Behaviour, 4(1), 4-6. https://doi.org/10.1038/s41562-019-0772-6
    • Evans, N. J., Tillman, G., & Wagenmakers, E. M. (2020). Systematic and random sources of variability in perceptual decision-making: Comment on Ratcliff, Voskuilen, and McKoon (2018). Manuscript submitted for publication.
    • Sarafoglou, A. S. G., Hoogeveen, S., Matzke, D., & Wagenmakers, E. J. (2020). Teaching Good Research Practices: Protocol of a Research Master Course. Psychology Learning and Teaching, 19(1), 46-59. https://doi.org/10.1177/1475725719858807
    • Wagenmakers, E. M., & Ly, A. (2020). Discussion on the meeting on ‘Signs and sizes: understanding and replicating statistical findings’. Journal of the Royal Statistical Society. Series A: Statistics in Society, 183(2), 449-469. https://doi.org/10.1111/rssa.12544
    • van den Bergh, D., van Doorn, J. B., Marsman, M., Draws, T., van Kesteren, E., Derks, K. P., ... Wagenmakers, E. M. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. L' année psychologique, 120, 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073

    2019

    • Boehm, U., van Maanen, L., Evans, N. J., Brown, S. D., & Wagenmakers, E. J. (2019). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception, and Psychophysics. https://doi.org/10.3758/s13414-019-01806-4
    • Dahrendorf, M., Hoffmann, T., Mittenbühler, M., Wiechert, S., Sarafoglou, A. S. G., Matzke, D., & Wagenmakers, E. M. (Accepted/In press). "Because it is the Right Thing to Do'': Taking Stock of the Peer Reviewers’ Openness Initiative. Journal of European Psychology Students. https://doi.org/10.31234/osf.io/h39jt
    • Dutilh, G., Sarafoglou, A., & Wagenmakers, E-M. (2019). Flexible Yet Fair: Blinding Analyses in Experimental Psychology. Synthese. https://doi.org/10.31234/osf.io/d79r8, https://doi.org/10.1007/s11229-019-02456-7
    • Evans, N. J., & Wagenmakers, E-J. (2019). Theoretically meaningful models can answer clinically relevant questions. Brain, 142(5), 1172-1175. https://doi.org/10.1093/brain/awz073 [details]
    • Evans, N. J., & Wagenmakers, E. M. (Accepted/In press). Evidence Accumulation Models: Current Limitations and Future Directions. The Quantitative Methods for Psychology. https://doi.org/10.31234/osf.io/74df9
    • Gronau, Q. F., & Wagenmakers, E-J. (2019). Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection. Computational Brain & Behavior, 2(1), 1-11. https://doi.org/10.1007/s42113-018-0011-7 [details]
    • Gronau, Q. F., & Wagenmakers, E-J. (2019). Rejoinder: More Limitations of Bayesian Leave-One-Out Cross-Validation. Computational Brain & Behavior, 2(1), 35-47. https://doi.org/10.1007/s42113-018-0022-4 [details]
    • Gronau, Q. F., Ly, A., & Wagenmakers, E. M. (Accepted/In press). Informed Bayesian T-Tests. American Statistician.
    • Gronau, Q. F., Singmann, H., & Wagenmakers, E. M. (Accepted/In press). bridgesampling: An R Package for Estimating Normalizing Constants. Journal of Statistical Software.
    • Gronau, Q. F., Wagenmakers, E. M., Heck, D. W., & Matzke, D. (2019). A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling. Psychometrika, 84, 261-284.
    • Heck, D. W., Overstall, A. M., Gronau, Q. F., & Wagenmakers, E-J. (2019). Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Statistics and Computing, 29(4), 631-643. https://doi.org/10.1007/s11222-018-9828-0 [details]
    • Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E. M. (Accepted/In press). A conceptual introduction to Bayesian Model Averaging. Advances in Methods and Practices in Psychological Science. https://doi.org/10.31234/osf.io/wgb64
    • Landy, J. F., Jia, M. L., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., ... Uhlmann, E. L. (Accepted/In press). Crowdsourching hytpothesis tests: Making transparent how design choices shape research results. Psychological Bulletin.
    • Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, J., ... Wagenmakers, E-J. (2019). JASP: Graphical statistical software for common statistical designs. Journal of Statistical Software, 88, [2]. https://doi.org/10.18637/jss.v088.i02 [details]
    • Ly, A., Stefan, A. M., van Doorn, J. B., Dablander, F., van den Bergh, D., Sarafoglou, A. S. G., ... Wagenmakers, E. M. (Accepted/In press). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P-value Hypothesis Test. Computational Brain & Behavior. https://doi.org/10.31234/osf.io/dhb7x
    • Marsman, M., Waldorp, L., Dablander, F., & Wagenmakers, E-J. (2019). Bayesian estimation of explained variance in ANOVA designs. Statistica Neerlandica, 73(3), 351-372. https://doi.org/10.1111/stan.12173 [details]
    • Selker, R., van den Bergh, D., Criss, A. H., & Wagenmakers, E-J. (2019). Parsimonious estimation of signal detection models from confidence ratings. Behavior Research Methods, 51(5), 1953-1967. https://doi.org/10.3758/s13428-019-01231-3 [details]
    • Stefan, A. M., Gronau, Q. F., Schoenbrodt, F. D., & Wagenmakers, E-J. (2019). A tutorial on Bayes Factor Design Analysis using an informed prior. Behavior Research Methods, 51(3), 1042-1058. https://doi.org/10.3758/s13428-018-01189-8
    • Steingröver, H. M., Wabersich, D., & Wagenmakers, E. M. (Accepted/In press). Modeling Across-Trial Variability in the Wald Drift Rate Parameter. Behavior Research Methods. https://doi.org/10.31234/osf.io/7rspg
    • Wagenmakers, E. M., Gronau, Q. F., Dablander, F., & Etz, A. (Accepted/In press). The Support Interval. Erkenntnis. https://doi.org/10.31234/osf.io/zwnxb
    • Wagenmakers, E. M., Lee, M., Rouder, J., & Morey, R. (Accepted/In press). The Principle of Predictive Irrelevance, or Why Intervals Should Not be Used for Model Comparison Featuring a Point Null Hypothesis. Theory of Statistics in Psychology -- Applications, Use andMisunderstandings. https://doi.org/10.31234/osf.io/rqnu5
    • van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N., ... Wagenmakers, E. J. (2019). Multiple Perspectives on Inference for Two Simple Statistical Scenarios. American Statistician, 73(S1), 328-339. https://doi.org/10.1080/00031305.2019.1565553 [details]
    • van Doorn, J. B., Marsman, M., & Wagenmakers, E. M. (Accepted/In press). Bayesian Rank-Based Hypothesis Testing for the Rank Sum Test, the Signed Rank Test, and Spearman's. Journal of Applied Statistics.
    • van Doorn, J. B., Matzke, D., & Wagenmakers, E. M. (2019). An In-Class Demonstration of Bayesian Inference. Psychology Learning and Teaching. https://doi.org/10.1177/1475725719848574
    • van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E-J. (2019). Bayesian estimation of Kendall’s τ using a latent normal approach. Statistics and Probability Letters, 145, 268-272. https://doi.org/10.1016/j.spl.2018.10.004 [details]

    2018

    2017

    2016

    2015

    • Aarts, A. A., et al., U., Borsboom, D., Columbus, S., den Bezemer, B., Deserno, M. K., ... Wagenmakers, E-J. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 943. [aac4716]. https://doi.org/10.1126/science.aac4716 [details]
    • Andraszewicz, S., Scheibehenne, B., Rieskamp, J., Grasman, R., Verhagen, J., & Wagenmakers, E-J. (2015). An introduction to Bayesian hypothesis testing for management research. Journal of Management, 41(2), 521-543. https://doi.org/10.1177/0149206314560412 [details]
    • Boekel, W., Wagenmakers, E-J., Belay, L., Verhagen, J., Brown, S., & Forstmann, B. U. (2015). A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 66, 115-133. https://doi.org/10.1016/j.cortex.2014.11.019 [details]
    • Forstmann, B. U., & Wagenmakers, E-J. (2015). Model-based cognitive neuroscience: a conceptual introduction. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. 139-156). New York: Springer. https://doi.org/10.1007/978-1-4939-2236-9_7 [details]
    • Forstmann, B. U., & Wagenmakers, E-J. (2015). Preface. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. v-vi). New York: Springer. https://doi.org/10.1007/978-1-4939-2236-9 [details]
    • Hawkins, G. E., Forstmann, B. U., Wagenmakers, E-J., Ratcliff, R., & Brown, S. D. (2015). Revisiting the evidence of collapsing boundaries and urgency signals in perceptual decision-making. The Journal of Neuroscience, 35(6), 2476-2484. https://doi.org/10.1523/JNEUROSCI.2410-14.2015 [details]
    • Hawkins, G. E., Wagenmakers, E-J., Ratcliff, R., & Brown, S. D. (2015). Discriminating evidence accumulation from urgency signals in speeded decision making. Journal of Neurophysiology, 114(1), 40-47. https://doi.org/10.1152/jn.00088.2015 [details]
    • Heathcote, A., Brown, S. D., & Wagenmakers, E-J. (2015). An introduction to good practices in cognitive modeling. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. 25-48). New York: Springer. https://doi.org/10.1007/978-1-4939-2236-9_2 [details]
    • Heck, D. W., Wagenmakers, E-J., & Morey, R. D. (2015). Testing order constraints: Qualitative differences between Bayes factors and normalized maximum likelihood. Statistics & Probability Letters, 105, 157-162. https://doi.org/10.1016/j.spl.2015.06.014 [details]
    • Krypotos, A-M., Beckers, T., Kindt, M., & Wagenmakers, E. J. (2015). A Bayesian hierarchical diffusion model decomposition of performance in approach-avoidance tasks. Cognition & Emotion, 29(8), 1424-1444. https://doi.org/10.1080/02699931.2014.985635 [details]
    • Lee, M. D., Lodewyckx, T., & Wagenmakers, E-J. (2015). Three Bayesian analyses of memory deficits in patients with dissociative identity disorder. In J. G. W. Raaijmakers, A. H. Criss, R. L. Goldstone, R. M. Nosofsky, & M. Steyvers (Eds.), Cognitive modeling in perception and memory: a festschrift for Richard M. Shiffrin (pp. 189-200). (Psychology Press festschrifts). New York/London: Psychology Press. [details]
    • Love, J., Selker, R., Verhagen, J., Marsman, M., Gronau, Q. F., Jamil, T., ... Rouder, J. N. (2015). Software to sharpen your stats. APS Observer, 28(3), 27-29. [details]
    • Matzke, D., Dolan, C. V., Batchelder, W. H., & Wagenmakers, E-J. (2015). Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika, 80(1), 205-235. https://doi.org/10.1007/s11336-013-9374-9 [details]
    • Matzke, D., Nieuwenhuis, S., van Rijn, H., Slagter, H. A., van der Molen, M. W., & Wagenmakers, E-J. (2015). The effect of horizontal eye movements on free recall: A preregistered adversarial collaboration. Journal of Experimental Psychology. General, 144(1), e1-e15. https://doi.org/10.1037/xge0000038 [details]
    • Nieuwenstein, M. R., Wierenga, T., Morey, R. D., Wicherts, J. M., Blom, T. N., Wagenmakers, E-J., & van Rijn, H. (2015). On making the right choice: A meta-analysis and large-scale replication attempt of the unconscious thought advantage. Judgment and Decision Making, 10(1), 1-17. [details]
    • Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., ... Yarkoni, T. (2015). Promoting an open research culture. Science, 348(6242), 1422-1425. https://doi.org/10.1126/science.aab2374 [details]
    • Nuijten, M. B., Wetzels, R., Matzke, D., Dolan, C. V., & Wagenmakers, E-J. (2015). A default Bayesian hypothesis test for mediation. Behavior Research Methods, 47(1), 85-97. https://doi.org/10.3758/s13428-014-0470-2 [details]
    • Rotteveel, M., Gierholz, A., Koch, G., van Aalst, C., Pinto, Y., Matzke, D., ... Wagenmakers, E-J. (2015). On the automatic link between affect and tendencies to approach and avoid: Chen and Bargh (1999) revisited. Frontiers in Psychology, 6, [335]. https://doi.org/10.3389/fpsyg.2015.00335 [details]
    • Steingroever, H., Fridberg, D., Horstmann, A., Kjome, K., Kumari, V., Lane, S. D., ... Wagenmakers, E-J. (2015). Data from 617 healthy participants performing the Iowa gambling task: A "many labs" collaboration. Journal of Open Psychology Data, 3(1), [e5]. https://doi.org/10.5334/jopd.ak [details]
    • Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2015). ŵ=.2, â=.8, ĉ=.6: So what? On the meaning of parameter estimates from reinforcement-learning models. Decision, 2(3), 228-235. https://doi.org/10.1037/dec0000034 [details]
    • Terry, A., Marley, A. A. J., Barnwal, A., Wagenmakers, E. J., Heathcote, A., & Brown, S. D. (2015). Generalising the drift rate distribution for linear ballistic accumulators. Journal of Mathematical Psychology, 68-69, 49-58. https://doi.org/10.1016/j.jmp.2015.09.002 [details]
    • Vandekerckhove, J., Matzke, D., & Wagenmakers, E-J. (2015). Model comparison and the principle of parsimony. In J. R. Busemeyer, Z. Wang, J. T. Townsend, & A. Eidels (Eds.), The Oxford handbook of computational and mathematical psychology (pp. 300-319). (Oxford library of psychology). Oxford: Oxford University Press. [details]
    • Wagenmakers, E-J. (2015). A quartet of interactions. Cortex, 73, 334-335. https://doi.org/10.1016/j.cortex.2015.07.031 [details]
    • Wagenmakers, E-J., Beek, T. F., Rotteveel, M., Gierholz, A., Matzke, D., Steingroever, H., ... Pinto, Y. (2015). Turning the hands of time again: a purely confirmatory replication study and a Bayesian analysis. Frontiers in Psychology, 6, [494]. https://doi.org/10.3389/fpsyg.2015.00494 [details]
    • Wagenmakers, E-J., Verhagen, J., Ly, A., Bakker, M., Lee, M. D., Matzke, D., ... Morey, R. D. (2015). A power fallacy. Behavior Research Methods, 47(4), 913-917. https://doi.org/10.3758/s13428-014-0517-4 [details]
    • Wagenmakers, E-J., Wetzels, R., Borsboom, D., Kievit, R. A., & van der Maas, H. L. J. (2015). A skeptical eye on psi. In E. May, & S. B. Marwaha (Eds.), Extrasensory perception: support, skepticism, and science (pp. 153-176). Santa Barbara: Praeger. [details]
    • van Elk, M., Matzke, D., Gronau, Q. F., Guan, M., Vandekerckhove, J., & Wagenmakers, E-J. (2015). Meta-analyses are no substitute for registered replications: a skeptical perspective on religious priming. Frontiers in Psychology, 6, [1365]. https://doi.org/10.3389/fpsyg.2015.01365 [details]

    2014

    2013

    • Dutilh, G., Forstmann, B., Vandekerckhove, J., & Wagenmakers, E-J. (2013). A diffusion model account of age differences in post-error slowing. Psychology and Aging, 28(1), 64-76. https://doi.org/10.1037/a0029875 [details]
    • Matzke, D., Dolan, C. V., Logan, G. D., Brown, S. D., & Wagenmakers, E-J. (2013). Bayesian parametric estimation of stop-signal reaction time distributions. Journal of Experimental Psychology. General, 142(4), 1047-1073. https://doi.org/10.1037/a0030543 [details]
    • Matzke, D., Love, J., Wiecki, T. V., Brown, S. D., Logan, G. D., & Wagenmakers, E-J. (2013). Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions. Frontiers in Psychology, 4, [918]. https://doi.org/10.3389/fpsyg.2013.00918 [details]
    • Mulder, M. J., Keuken, M. C., van Maanen, L., Boekel, W. E., Forstmann, B. U., & Wagenmakers, E. J. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch task. Attention, Perception & Psychophysics, 75(5), 1048-1058. https://doi.org/10.3758/s13414-013-0447-8 [details]
    • Scheibehenne, B., Rieskamp, J., & Wagenmakers, E-J. (2013). Testing adaptive toolbox models: a Bayesian hierarchical approach. Psychological Review, 120(1), 39-64. https://doi.org/10.1037/a0030777 [details]
    • Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2013). A comparison of reinforcement learning models for the Iowa Gambling Task using parameter space partitioning. The Journal of Problem Solving, 5(2), 2. [2]. https://doi.org/10.7771/1932-6246.1150 [details]
    • Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2013). Validating the PVL-Delta model for the Iowa gambling task. Frontiers in Psychology, 4, [898]. https://doi.org/10.3389/fpsyg.2013.00898 [details]
    • Steingroever, H., Wetzels, R., Horstmann, A., Neumann, J., & Wagenmakers, E-J. (2013). Performance of healthy participants on the Iowa Gambling Task. Psychological Assessment, 25(1), 180-193. https://doi.org/10.1037/a0029929 [details]
    • Turner, B. M., Forstmann, B. U., Wagenmakers, E-J., Brown, S. D., Sederberg, P. B., & Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206. https://doi.org/10.1016/j.neuroimage.2013.01.048 [details]

    2012

    2011

    2010

    • Bogacz, R., Wagenmakers, E. J., Forstmann, B. U., & Nieuwenhuis, S. (2010). The neural basis of the speed-accuracy tradeoff. Trends in Neurosciences, 33(1), 10-16. https://doi.org/10.1016/j.tins.2009.09.002 [details]
    • Forstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S., Wagenmakers, E. M., ... Turner, R. (2010). Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proceedings of the National Academy of Sciences of the United States of America, 107(36), 15916-15920. https://doi.org/10.1073/pnas.1004932107 [details]
    • Forstmann, B. U., Brown, S., Dutilh, G., Neumann, J., & Wagenmakers, E-J. (2010). The neural substrate of prior information in perceptual decision making: a model-based analysis. Frontiers in Human Neuroscience, 4, [40]. https://doi.org/10.3389/fnhum.2010.00040 [details]
    • Heathcote, A., Brown, S., Wagenmakers, E-J., & Eidels, A. (2010). Distribution-free tests of stochastic dominance for small samples. Journal of Mathematical Psychology, 54(5), 454-463. https://doi.org/10.1016/j.jmp.2010.06.005 [details]
    • Iverson, G. J., Lee, M. D., & Wagenmakers, E-J. (2010). The random effects prep continues to mispredict the probability of replication. Psychonomic Bulletin & Review, 17(2), 270-272. https://doi.org/10.3758/PBR.17.2.270 [details]
    • Iverson, G. J., Wagenmakers, E-J., & Lee, M. D. (2010). A model-averaging approach to replication: the case of prep. Psychological Methods, 15(2), 172-181. https://doi.org/10.1037/a0017182 [details]
    • Jepma, M., te Beek, E. T., Wagenmakers, E-J., van Gerven, J. M. A., & Nieuwenhuis, S. (2010). The role of the noradrenergic system in the exploration-exploitation trade-off: a psychopharmacological study. Frontiers in Human Neuroscience, 4, [170]. https://doi.org/10.3389/fnhum.2010.00170 [details]
    • Wagenmakers, E-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method. Cognitive Psychology, 60(3), 158-189. https://doi.org/10.1016/j.cogpsych.2009.12.001 [details]
    • Wetzels, R., & Wagenmakers, E-J. (2010). Exemplary introduction to Bayesian statistical inference [Review of: I. Ntzoufras (2009) Bayesian modeling using WinBUGS]. Journal of Mathematical Psychology, 54(5), 466-469. https://doi.org/10.1016/j.jmp.2010.02.002 [details]
    • Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E-J. (2010). An encompassing prior generalization of the Savage-Dickey density ratio. Computational Statistics and Data Analysis, 54(9), 2094-2102. https://doi.org/10.1016/j.csda.2010.03.016 [details]
    • Wetzels, R., Lee, M. D., & Wagenmakers, E-J. (2010). Bayesian inference using WBDev: a tutorial for social scientists. Behavior Research Methods, 42(3), 884-897. https://doi.org/10.3758/BRM.42.3.884 [details]
    • Wetzels, R., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E-J. (2010). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gamblling task. Journal of Mathematical Psychology, 54(1), 14-27. https://doi.org/10.1016/j.jmp.2008.12.001 [details]

    2009

    • Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16(6), 1026-1036. https://doi.org/10.3758/16.6.1026 [details]
    • Grasman, R. P. P. P., Wagenmakers, E-J., & van der Maas, H. L. J. (2009). On the mean and variance of response times under the diffusion model with an application to parameter estimation. Journal of Mathematical Psychology, 53(2), 55-68. https://doi.org/10.1016/j.jmp.2009.01.006 [details]
    • Grasman, R. P. P. P., van der Maas, H. L. J., & Wagenmakers, E-J. (2009). Fitting the cusp catastrophe in R: a cusp-package primer. Journal of Statistical Software, 32(8), 1-28. [details]
    • Iverson, G. J., Lee, M. D., Zhang, S., & Wagenmakers, E-J. (2009). prep: an agony in five fits. Journal of Mathematical Psychology, 53(4), 195-202. https://doi.org/10.1016/j.jmp.2008.09.004 [details]
    • Iverson, G., Lee, M. D., & Wagenmakers, E-J. (2009). prep misestimates the probability of replication. Psychonomic Bulletin & Review, 16(2), 424-429. https://doi.org/10.3758/PBR.16.2.424 [details]
    • Jepma, M., Wagenmakers, E-J., Band, G. P. H., & Nieuwenhuis, S. (2009). The effects of accessory stimuli on information processing: evidence from electrophysiology and a diffusion model analysis. Journal of Cognitive Neuroscience, 21(5), 847-864. https://doi.org/10.1162/jocn.2009.21063 [details]
    • Matzke, D., & Wagenmakers, E-J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: a diffusion model analysis. Psychonomic Bulletin & Review, 16(5), 798-817. https://doi.org/10.3758/PBR.16.5.798 [details]
    • Steyvers, M., Lee, M. D., & Wagenmakers, E-J. (2009). A Bayesian analysis of human decision-making on bandit problems. Journal of Mathematical Psychology, 53(3), 168-179. https://doi.org/10.1016/j.jmp.2008.11.002 [details]
    • Torre, K., & Wagenmakers, E-J. (2009). Theories and models for 1/fβ noise in human movement science. Human Movement Science, 28(3), 297-318. https://doi.org/10.1016/j.humov.2009.01.001 [details]
    • Wagenmakers, E-J. (2009). Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy. European Journal of Cognitive Psychology, 21(5), 641-671. https://doi.org/10.1080/09541440802205067 [details]
    • Wetzels, R., Raaijmakers, J. G. W., Jakab, E., & Wagenmakers, E-J. (2009). How to quantify support for and against the null hypothesis: a flexible winBUGS implementation of a default Bayesian t-test. Psychonomic Bulletin & Review, 16(4), 752-760. https://doi.org/10.3758/PBR.16.4.752 [details]

    2008

    • Ahn, W-Y., Busemeyer, J. R., Wagenmakers, E-J., & Stout, J. C. (2008). Comparison of decision learning models using the generalization criterion method. Cognitive Science, 32, 1376-1402. https://doi.org/10.1080/03640210802352992 [details]
    • Forstmann, B. U., Dutilh, G., Brown, S., Neumann, J., von Cramon, D. Y., Ridderinkhof, K. R., & Wagenmakers, E-J. (2008). Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences of the United States of America, 105(45), 17538-17542. https://doi.org/10.1073/pnas.0805903105 [details]
    • Shiffrin, R. M., Lee, M. D., Kim, W., & Wagenmakers, E-J. (2008). A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cognitive Science, 32, 1248-1284. https://doi.org/10.1080/03640210802414826 [details]
    • Wagenmakers, E-J., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language, 58(1), 140-159. https://doi.org/10.1016/j.jml.2007.04.006 [details]
    • Wagenmakers, E-J., van der Maas, H. L. J., Dolan, C. V., & Grasman, R. P. P. P. (2008). EZ does it! Extensions of the EZ-diffusion model. Psychonomic Bulletin & Review, 15, 1229-1235. https://doi.org/10.3758/PBR.15.6.1229 [details]

    2019

    • Haaf, J. M., Ly, A., & Wagenmakers, E-J. (2019). Retire significance, but still test hypotheses. Nature, 567(7749), 461. [details]

    2018

    • Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E. J., Berk, R., ... Johnson, V. E. (2018). Redefine statistical significance. Nature Human Behaviour, 2(1), 6-10. https://doi.org/10.1038/s41562-017-0189-z

    2017

    • Keuken, M. C., Ly, A., Boekel, W. E., Wagenmakers, E. M., Belay, L., Verhagen, A. J., ... Forstmann, B. U. (2017). Corrigendum A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 93, 229-233.

    2016

    2015

    2013

    • Bakker, M., Cramer, A. O. J., Matzke, D., Kievit, R. A., van der Maas, H. L. J., Wagenmakers, E-J., & Borsboom, D. (2013). Dwelling on the past. European Journal of Personality, 27(2), 120-144. https://doi.org/10.1002/per.1920 [details]
    • Bakker, M., Wagenmakers, E-J., Borsboom, D., Wicherts, J., & van der Maas, H. (2013). Spelregels in de psychologie: over eerlijk en goed onderzoek. De Psycholoog, 48(12), 68-76. [details]
    • Wagenmakers, E-J. (2013). Sjoemelwetenschap. De Psycholoog, 48(4), 34-35. [details]

    2011

    • Borsboom, D., Wagenmakers, E-J., & Romeijn, J-W. (2011). Mechanistic curiosity will not kill the Bayesian cat. Behavioral and Brain Sciences, 34(4), 192-193. https://doi.org/10.1017/S0140525X11000215 [details]
    • Wagenmakers, E-J. (2011). Kleren voor de keizer [Bespreking van: R. van de Schoot (2010) Informative hypotheses: how to move beyond classical null hypothesis testing]. De Psycholoog, 46(1), 21-22. [details]

    2009

    • Wagenmakers, E-J. (2009). How do individuals reason in the Wason card selection task [Review of: M. Oaksford, N. Chater (2007) Bayesian rationality: the probabilistic approach to human reasoning]. Behavioral and Brain Sciences, 32(1), 104-104. https://doi.org/10.1017/S0140525X09000508 [details]

    2008

    • Wagenmakers, E-J., Lee, M. D., Lodewyckx, T., & Iverson, G. (2008). Bayesian versus frequentist inference. In H. Hoijtink, I. Klugkist, & P. A. Boelen (Eds.), Bayesian evaluation of informative hypotheses (pp. 181-207). (Statistics for Social and Behavioral Sciences). New York: Springer. https://doi.org/10.1007/978-0-387-09612-4_9 [details]

    2019

    • Wagenmakers, E. J. (2019). Het belang van Brady vs. Maryland voor de psychologie [The importance of Brady vs. Maryland for psychology. De Psycholoog, 54, 24-28.
    • Wagenmakers, E. M. (2019). Het plagiaat van Lord Francis Bacon. Skepter, 32, 43-46.
    • Wagenmakers, E. M. (2019). Prins op een missie: Book review of "De 7Doodzonden van de Psychologie: Pleidooi voor een Cultuuromslag in deWetenschappelijke Praktijk" ("The Seven Deadly Sins of Psychology: AManifesto for Reforming the Culture of Scientific Practice") by ChrisChambers. De Psycholoog, 54, 28-29.

    2016

    • Wagenmakers, E-J. (2016). [Review of: R.B. Kline (2013) Beyond significance testing: Statistics reform in the behavioral sciences]. American Statistician, 70(2), 221. https://doi.org/10.1080/00031305.2016.1185863 [details]
    • Wagenmakers, E-J., & Dutilh, G. (2016). Preregistration: Why, what, where? Psychology Research Institute of the University of Amsterdam.

    2013

    • Borsboom, D., & Wagenmakers, E-J. (2013). Derailed: the rise and fall of Diederik Stapel [Review of: D. Stapel (2012) Ontsporing]. APS Observer, 26(1). [details]

    2009

    • Wagenmakers, E-J. (2009). Teaching graduate students how to write clearly. APS Observer, 22(4). [details]

    2008

    2017

    • Wagenmakers, E. M. (2017). Het zwaard van Alhazen. Skepter, 30, 34-35.

    2011

    • Borsboom, D., Wagenmakers, E-J., Kievit, R. A., Wetzels, R., van den Berg, H., & Wicherts, J. M. (2011). Universiteiten en subsidieverstrekkers moeten fraude aanpakken. De Volkskrant.
    • Kievit, R. A., Borsboom, D., Wagenmakers, E-J., Wicherts, J. M., Wetzels, R., van Harmelen, A-L., & van den Berg, H. (2011). Maatregel om fraude te bemoeilijken brengt enkel voordelen met zich mee. De Volkskrant.

    2017

    • Ly, A., Raj, A., Wagenmakers, E. M., & Marsman, M. (2017). A limit-consistent Bayes factor for testing the equality of two Poisson rates. Poster session presented at International Workshop on Objective Bayes Methodology, Austin, United States.

    2015

    • Ly, A., Marsman, M., & Wagenmakers, E-J. (2015). Jeffrey's Correlation Test Based on Criteria of Bayarri, Berger, Forte, and Garcia-Donato (2012). Poster session presented at 11th International Workshop on Objective Bayes Methodology, .
    • Ly, A., Marsman, M., & Wagenmakers, E. M. (2015). Jeffreys’s Correlation Test Based on Criteria of Bayarri, Berger, Forte, and Garcia-Donato (2012). Poster session presented at Objective Bayesian Analysis, Valencia, Spain.

    Award

    • Wagenmakers, E. M. (2018). Verbindingsprijs.
    • Wagenmakers, E. M. & Stefan, A. M. (2018). MaGW research talent (NWO).
    • Wagenmakers, E. M. & Kucharsky, S. (2018). MaGW research talent (NWO).
    • Wagenmakers, E. M. (2017). Advanced Grant from the European Research Council (ERC).
    • Wagenmakers, E. M. (2017). VICI grant from the Netherlands Organisation for Scientific Research (NWO).
    • Wagenmakers, E. M. (2017). PhD grant from NWO.
    • Wagenmakers, E.-J. (2013). Dynamic adjustment of response caution in perceptual decision-making..
    • Wagenmakers, E.-J. (2012). Partner investigator on the Australian Research Council three-year project "Rapid Decisions: From Neuroscience to Complex Cognitions".
    • Wagenmakers, E.-J. (2012). Partner investigator on the Australian Research Council three-year project "Cognitive Flexibility from Adolescence to Senescence: Variability Associated with Cognitive Strategy and Brain Connectivity"..
    • Wagenmakers, E.-J. (2012). Inaugural recipient of the Newcastle Psychology Research Visitor Fellowship..

    Membership

    • Wagenmakers, E. M. (2017). Member of the committee on Replication Research (“Replicatieonderzoek”) organized by the Royal Netherlands Academy of Arts and Sciences (KNAW), KNAW.
    • Wagenmakers, E. M. (2017). Member of Advisory Board, PsychFileDrawer.org project.
    • Wagenmakers, E. M. (2016-2017). Member of the committee on Replication Research (“Replicatieonderzoek”) organized by the Royal Netherlands Academy of Arts and Sciences (KNAW), (…), KNAW.
    • Wagenmakers, E.-J. (2010). Keynote: Bayesian model selection in sensometrics., the 10th Conference on Sensometrics, Rotterdam, the Netherlands, July 2010..
    • Wagenmakers, E.-J. (2010). Subsidie: The "ALW open competition" postdoc project "The neural basis of decision-making with multiple choice alternatives" was awarded a three-year (…), Netherlands Organisation for Scientific Research (NWO).

    Journal editor

    • Wagenmakers, E.-J. (editor) (2015). Psychonomic Bulletin & Review (Journal).
    • Wagenmakers, E.-J. (editor) (2010). Cognitive Psychology (Journal).
    • Wagenmakers, E.-J. (editor) (2010). Journal of Mathematical Psychology (Journal).
    • Wagenmakers, E.-J. (editor) (2010). Psychonomic Bulletin & Review (Journal).

    Talk / presentation

    • Wagenmakers, E. M. (speaker) (15-10-2018). Bayesian inference without tears, Centre International de Rencontres Mathematiques (CIRM).
    • Wagenmakers, E. M. (speaker) (1-9-2018). Bayesian advantages for the pragmatic researcher, Kongress der Deutschen Gesellschaft für Psychologie, Frankfurt, Germany.
    • Wagenmakers, E. M. (speaker) (30-4-2018). Tip of the iceberg? Revealing hidden uncertainty in cognitive modeling, h-MPT Network Meeting, Mannheim, Germany.
    • Wagenmakers, E. M. (speaker) (20-4-2018). Bayesian inference with JASP, Netherlands Institute for Neuroscience NIN - KNAW.
    • Wagenmakers, E. M. (speaker) (10-4-2018). The case for radical transparency in statistical reporting, University of Utrecht, Utrecht.
    • Wagenmakers, E. M. (speaker) (1-4-2018). Bayesian statistics using JASP, VU, Amsterdam.
    • Wagenmakers, E. M. (speaker) (20-1-2018). The case for radical transparency in statistical reporting., Replication and Reproducibility Event II: Moving Psychological Science Forward , Londen, United Kingdom.
    • Wagenmakers, E. M. (speaker) (12-2017). Barbecue chicken alert!, BITTS.
    • Wagenmakers, E. M. (speaker) (11-2017). An introduction to JASP, Graduate School Neurosciences Amsterdam (ONWAR).
    • Wagenmakers, E. M. (speaker) (11-2017). Hidden pseudoscience: Ailment, diagnosis, and cure, Amsterdam Skeptics in the Pub.
    • Wagenmakers, E. M. (speaker) (10-2017). The case for radical transparency in statistical reporting, ASA, American Sociological Association.
    • Wagenmakers, E. M. (speaker) (10-2017). The why and how of testing a point-null hypothesis within a Bayesian framework, TU Delft.
    • Wagenmakers, E. M. (speaker) (10-2017). Redefine statistical significance with JASP, IMC.
    • Wagenmakers, E. M. (speaker) (9-2017). JASP/Evidence, BITTS.
    • Wagenmakers, E. M. (speaker) (9-2017). “JASP Training Course”, 20th Conference of the European Society for Cognitive Psychology (ESCoP).
    • Wagenmakers, E. M. (speaker) (9-2017). Bayesian statistics without tears, Oxford University.
    • Wagenmakers, E. M. (speaker) (6-2017). The maximum diagnosticity of the p-value, workshop “Is there a future without null hypothesis significance testing?”.
    • Wagenmakers, E. M. (speaker) (6-2017). History and statistical foundation of preregistration, Tilburg University.
    • Wagenmakers, E. M. (speaker) (5-2017). “Bayesian Inference with JASP: A Fresh Way to Do Statistics", 29th Annual Convention of the Association for Psychological Science.
    • Wagenmakers, E. M. (speaker) (4-2017). “JASP: A Fresh Way to do Statistics”, BBSRC STARS Course “Advanced Methods for Reproducible Science”.
    • Wagenmakers, E. M. (speaker) (3-2017). “Bayesian Inference in Theory and Practice: A JASP Workshop”, Philips Research.
    • Wagenmakers, E. M. (speaker) (2-2017). “A personal perspective on the analysis of neuroscience data”, 6th Berlin Winter School on Ethics and Neuroscience.
    • Wagenmakers, E. M. (speaker) (2017). The methodological metamorphosis of neuroscience, 6th Berlin Winter School on Ethics and Neuroscience.
    • Wagenmakers, E. M. (speaker) (2017). KNAW report: Replication studies, NAS.
    • Wagenmakers, E. M. (speaker) (2017). “Bayesian analysis with JASP: A fresh way to do statistics”, Max Planck School for Language Sciences.

    Others

    • van Doorn, J. (organiser), Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Ly, A. (organiser) & Sarafoglou, A. (organiser) (26-8-2019 - 30-8-2019). Ninth Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
    • van Doorn, J. (organiser), Wagenmakers, E.-J. (organiser), Sarafoglou, A. (organiser) & Morey, R. D. (organiser) (22-8-2019 - 23-8-2019). Theory and Practice of Bayesian Hypothesis Testing (organising a conference, workshop, ...).
    • Matzke, D. (organiser), Wagenmakers, E.-J. (organiser) & Tuerlinckx, F. (organiser) (25-3-2019 - 29-3-2019). Erasmus Seminar on Mathematical Psychology: “Formal Models and Quantitative Methods for Psychology” (organising a conference, workshop, ...).
    • Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Lee, M. (organiser), Ly, A. (organiser), van Doorn, J. B. (organiser) & Gronau, Q. F. (organiser) (20-8-2018 - 24-8-2018). Eight Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
    • Wagenmakers, E. M. (organiser), Gronau, Q. F. (organiser), Ly, A. (organiser), van Doorn, J. B. (organiser) & Matzke, D. (organiser) (28-8-2017 - 29-8-2017). Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop (organising a conference, workshop, ...).
    • Wagenmakers, E. M. (organiser), Ly, A. (organiser), Gronau, Q. F. (organiser), van Doorn, J. B. (organiser), Matzke, D. (organiser) & Lee, M. (organiser) (21-8-2017 - 25-8-2017). Seventh Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
    • Wagenmakers, E. M. (participant) (2017). Fellow for the Association for Psychological Science (other).
    • Wagenmakers, E. M. (consultant) (2017). Statistical consulting, CHDI Foundation (consultancy).
    • Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Selker, R. (organiser), van Doorn, J. B. (organiser) & Ly, A. (organiser) (2016). Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop (organising a conference, workshop, ...).
    • Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Selker, R. (organiser), van Doorn, J. B. (organiser), Steingröver, H. M. (organiser), Lee, M. (organiser) & Ly, A. (organiser) (2016). Sixth Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser), Tuerlinckx, F. (organiser) & Matzke, D. (organiser) (22-3-2015 - 28-3-2015). Erasmus-IP Seminar on Mathematical Psychology, Debrecen. Formal Models and Quantitative Methods for Psychology. (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser), Matzke, D. (organiser) & Ly, A. (organiser) (2015). First Annual JASP Workhop: A Fresh Way to do Bayesian Statistics., Amsterdam (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser), Lee, M. D. (organiser), Ly, A. (organiser) & Matzke, D. (organiser) (2015). Fifth Annual WinBUGS Workshop: Bayesian Modeling for Cognitive Science., Amsterdam (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser), Lee, M. D. (organiser), Ly, A. (organiser), Matzke, D. (organiser), Steingroever, H. (organiser) & Verhagen, A. J. (organiser) (11-8-2014 - 15-8-2014). Fourth Annual WinBUGS Workshop: Bayesian Modeling for Cognitive Science., Amsterdam (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Steingröver, H. M. (organiser) & Ly, A. (organiser) (12-8-2013 - 16-8-2013). WinBUGS Workshop: Bayesian Modeling for Cognitive Science., Amsterdam (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Steingröver, H. M. (organiser) & Lee, M. (organiser) (2-7-2012 - 6-7-2012). Organisation of the workshop "Bayesian Modeling for Cognitive Science"., Amsterdam (organising a conference, workshop, ...).
    • Wagenmakers, E.-J. (organiser) & Forstmann, B. U. (organiser) (2012). Organisation of the Academy Colloquium "New Insights from Model-Based Cognitive Neuroscience", Amsterdam (organising a conference, workshop, ...).
    • Wagenmakers, E. M. (organiser), Wetzels, R. M. (organiser), Matzke, D. (organiser) & Lee, M. (organiser) (22-8-2011). Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).

    2017

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