Publications

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(Psy)ArXiv'ed

Wagenmakers, E.-J., Kucharský, Š., van Doorn, J., & van den Bergh, D. (2023). Accessible and sustainable statistics with JASP.

Aczel, B., & Wagenmakers, E.-J. (2023). Transparency guidance for ChatGPT usage in scientific writing.

Wagenmakers, E.-J., & Gronau, Q. F. (2022). Evidence of absence in the D-HEALTH trial: A Bayesian reanalysis.

Wagenmakers, E.-J., & Gronau, Q. F. (2021). A Bayesian analysis of the molnupiravir trial data.

Wagenmakers, E.-J., & Gronau, Q. F. (2020). Overwhelming evidence for vaccine efficacy in the Pfizer trial: An interim Bayesian analysis. Manuscript rejected for publication.

Wagenmakers, E.-J., & Ly, A. (2020). Bayesian Scepsis About SWEPIS: Quantifying the Evidence That Early Induction of Labour Prevents Perinatal Deaths. Manuscript rejected for publication.

Wagenmakers, E.-J., & Gronau, Q. F. (2020). Efficacy of hydroxychloroquine in patients with COVID-19 (Chen et al., 2020): Moderate evidence for a treatment effect on pneumonia.

Gronau, Q. F., & Wagenmakers, E.-J. (2020). Hydroxychloroquine in patients with COVID-19 (Chen et al., 2020): Absence of evidence, not evidence of absence.

Wagenmakers, E.-J., & Gronau, Q. F. (2020). Absence of evidence and evidence of absence in the FLASH Trial: A Bayesian reanalysis. Manuscript rejected for publication.

Gronau, Q. F., & Wagenmakers, E.-J. (2019). Progesterone in women with bleeding in early pregnancy: Absence of evidence, not evidence of absence. Manuscript rejected for publication.

Dablander, F., van den Bergh, D., & Wagenmakers, E.-J. (2018). Another paradox? A comment on Lindley (1997). Manuscript rejected for publication.

Wagenmakers, E.-J., Marsman, M., van den Bergh, D., Chambers, C., Pashler, H., De Ruiter, J., Fischer, A., Giner-Sorolla, R., Inzlicht, M., Jonas, K., Cesario, J., Borsboom, D., van der Maas, M., Harris, C., Freitas, A., Vazire, S., Gervais, W., Milyavskaya, M., Dunn, E., McCullough, M., Inbar, Y., Dijksterhuis, A., Doosje, B., Rimé, B., van Beest, I., Urry, H., & Tullett, A. (2017). Suggestions to advance your mission: An open letter to Dr. Shinobu Kitayama, editor of JPSP:ASC. Manuscript rejected for publication.


Submitted or under revision

Sekulovski, N., Marsman, M., & Wagenmakers, E.-J. (2024). A Good check on the Bayes factor. Manuscript submitted for publication.

Sarafoglou, A., Hoogeveen, S., van den Bergh, D., Aczel, B., Albers, C. J., Althoff, T., Botvinik-Nezer, R., Busch, N. A., Cataldo, A. M., Devezer, B., van Dongen, N. N. N., Dreber, A., Fried, E. I., Hoekstra, R., Hoffman, S., Holzmeister, F., Huber, J., Huntington-Klein, N., Ioannidis, J., Johannesson, M., Kirchler, M., Loken, E., Mangin, J.-F., Matzke, D., Menkveld, A. J., Nilsonne, G., van Ravenzwaaij, D., Schweinsberg, M., Schulz-Kuempel, H., Shanks, D. R., Simons, D. J., Spellman, B. A., Stoevenbelt, A. H., Szaszi, B., Trübutschek, D., Tuerlinckx, F., Uhlmann, E. L., Vanpaemel, W., Wicherts, J., & Wagenmakers, E.-J. (2024). Subjective evidence evaluation survey for multi-analyst studies. Manuscript submitted for publication.

Hoogeveen, S., Borsboom, D., Kucharský, Š, Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, patterns, and predictors of paranormal beliefs in the Netherlands: A several-analysts approach. Manuscript submitted for publication.

Kucharský, Š., & Wagenmakers, E.-J. (2023). Correct conclusions from fallible medical tests: A tutorial with JASP. Manuscript submitted for publication.

Bartoš, F., Sarafoglou, A., Godmann, H. R., Sahrani, A., Klein Leunk, D., Gui, P. Y., Voss, D., Ullah, K., Zoubek, M. J., Nippold, F., Aust, F., Vieira, F. F., Islam, C.-G., Zoubek, A. J., Shabani, S., Petter, J., Roos, I. B., Finnemann, A., Lob, A. B., Hoffstadt, M. F., Nak, J., de Ron, J., Derks, K., Huth, K., Terpstra, S., Bastelica, T., Matetovici, M., Ott, V. L., Zetea, A. S., Karnbach, K., Donzallaz, M. C., John, A., Moore, R. M., Assion, F., van Bork, R., Leidinger, T. E., Zhao, X., Karami Motaghi, A., Pan, T., Armstrong, H., Peng, T., Bialas, M., Pang, J. Y.-C., Fu, B., Yang, S., Lin, X., Sleiffer, D., Bognar, M., Aczel, B., & Wagenmakers, E.-J. (2023). Fair coins tend to land on the same side they started: Evidence from 350,757 flips. Manuscript submitted for publication. 

Bartoš, F., Maier, M., Stanley, T. D., & Wagenmakers, E.-J. (2023). Robust Bayesian meta-regression — Model-averaged moderation analysis in the presence of publication bias. Manuscript submitted for publication.

Bartoš, F., Wagenmakers, E.-J., Vinkers, C. H., Braun, K. P. J., & Otte, W. M. (2023). Contextual aggregation and rapid updating of trial outcomes within a user-friendly open-source environment. Manuscript submitted for publication.

Bartoš, F., Otte, W. M., Gronau, Q. F., Timmers, B., Ly, A., & Wagenmakers, E.-J. (2023). Empirical prior distributions for Bayesian meta-analyses of binary and time to event outcomes. Manuscript submitted for publication.

Wagenmakers, E.-J., Godmann, H., de Ruiter, J. P., & van Doorn, J. (2023). Visualizing the equation for the sample correlation coefficient. Manuscript submitted for publication.

Kucharský, Š., Wagenmakers, E.-J., van den Bergh, D., & Ly, A. (2023). Analytic posterior distribution and Bayes factor for Pearson partial correlations. Manuscript submitted for publication.

Sekulovski, N., Keetelaar, S., Huth, K., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2023). Testing conditional independence in psychometric networks: An analysis of three Bayesian methods. Manuscript submitted for publication.

Maier, M., Bartoš, F., Quintana, D., Dablander, F., van den Bergh, D., Marsman, M., Ly, A., & Wagenmakers, E.-J. (2022). Model-averaged Bayesian t-tests. Manuscript submitted for publication.

Bartoš, F., Maier, M., Stanley, T. D., & Wagenmakers, E.-J. (2022). Adjusting for publication bias reveals mixed evidence for the impact of cash transfers on subjective well-being and mental health. Manuscript submitted for publication.

Bartoš, F., Pawel, S., & Wagenmakers, E.-J. (2022). When evidence and significance collide. Manuscript submitted for publication.

Derks, K., de Swart, J., Wagenmakers, E.-J., & Wetzels, R. (2022). An impartial Bayesian hypothesis test for audit sampling. Manuscript submitted for publication.

Maier, M., Bartoš, F., Oh, M., Wagenmakers, E.-J., Shanks, D., & Harris, A. (2022). Publication bias in research on construal level theory. Manuscript submitted for publication.

Wagenmakers, E.-J. (2022). Approximate objective Bayes factors from p-values and sample size: The 3p√n rule. Manuscript submitted for publication.

Wagenmakers, E.-J., Gronau, Q. F., & Vandekerckhove, J. (2019). Five Bayesian intuitions for the stopping rule principle. Manuscript submitted for publication.


In press

Bartoš, F., Maier, M., Wagenmakers, E.-J., Nippold, F., Doucouliagos, H., Ioannidis, J. P. A., Otte, W. M., Sladekova, M., Fanelli, D., & Stanley, T. D. (in press). Footprint of publication selection bias on meta-analyses in medicine, economics, and psychology. Research Synthesis Methods.

van den Bergh, D., Schuringa, E., & Wagenmakers, E.-J. (in press). Augmenting predictive models in forensic psychiatry with Cultural Consensus Theory. Journal of the Royal Statistical Society: Series C.

Wagenmakers, E.-J., Zabell, S., & Gronau, Q. F. (in press). J. B. S. Haldane's law of succession. Statistical Science.

Stefan, A. M., Gronau, Q. F., & Wagenmakers, E.-J. (in press). Interim design analysis using Bayes factor forecasts. Psychological Methods.

Pawel, S., Aust, F., Held, L., & Wagenmakers, E.-J. (in press). Power priors for replication studies. TEST.

van Ravenzwaaij, D., Bakker, M., Heesen, R., Romero, F., van Dongen, N., Crüwell, S., Field, S. M., Hartgerink, C. H. J., Held, L., Munafò, M. R., Pittelkow, M.-M., Tiokhin, L., Traag, V. A., van den Akker, O. R., van‘t Veer, A. E., & Wagenmakers, E.-J (in press). Perspectives on scientific error. Royal Society Open Science.

Bartoš, F., Maier, M., Shanks, D., Stanley, T. D., Sladekova, M., & Wagenmakers, E.-J. (in press). Meta-analyses in psychology often overestimate evidence for and size of effects. Royal Society Open Science.

Huth, K., de Ron, J., Goudriaan, A., Luigjes, J., Mohammadi, R, van Holst, R., Wagenmakers, E.-J., & Marsman, M. (in press). Bayesian analysis of cross-sectional networks: A tutorial in R and JASP. Advances in Methods and Practices in Psychological Science.

Pawel, S., Ly, A., & Wagenmakers, E.-J. (in press). Evidential calibration of confidence intervals. The American Statistician.

Sarafoglou, A., Bartoš, F., Stefan, A. M., Haaf, J. M., & Wagenmakers, E.-J. (in press). “This Behavior Strikes us as Ideal”: Assessment and Anticipations of Huisman (2022). Psychonomic Bulletin & Review.

Boehm, U., Evans, N. J., Gronau, Q. F., Matzke, D., Wagenmakers, E.-J., & Heathcote, A. (in press). Inclusion Bayes factors for mixed hierarchical diffusion decision models. Psychological Methods.

Sarafoglou, A., Aust, F., Marsman, M., Wagenmakers, E.-J., & Haaf, J. M. (in press). multibridge: An R package to evaluate informed hypotheses in binomial and multinomial models. Behavior Research Methods.

Berkhout, S. W., Haaf, J. M., Gronau, Q. F., Heck, D. W., & Wagenmakers, E.-J. (in press). A tutorial on Bayesian model-averaged meta-analysis in JASP. Behavior Research Methods.

Dablander, F., van den Bergh, D., Ly, A., & Wagenmakers, E.-J. (in press). Default Bayes factors for testing the (in)equality of several population variances. Bayesian Analysis.

Linde, M., Tendeiro, J. N., Wagenmakers, E.-J., & van Ravenzwaaij, D. (in press). Practical implications of equating equivalence tests: Reply to Campbell and Gustafson (2022). Psychological Methods.

Hoffmann, T., Hofman, A., & Wagenmakers, E.-J. (in press). A tutorial on Bayesian Inference for the A/B Test with R and JASP. Methodology.


2024

Wagenmakers, E.-J. (2024). Een smeltende ijsberg [A melting iceberg]. Skepter, 37, 41.

Wagenmakers, E.-J.,& Bartoš, F (2024). Watersmaak [The taste of water]. Skepter, 37, 12-14.

Maier, M., Bartoš, F., Raihani, N., Shanks, D., Stanley, T. D., Wagenmakers, E.-J., & Harris, A. (2024). Exploring open science practices in behavioural public policy research. Royal Society Open Science,11:231486.

Visser, I., Kucharský, Š., Levelt, C., Stefan, A. M., Wagenmakers, E.-J., & Oakes, L. (2024). Bayesian sample size planning for developmental studies. Infant and Child Development, 33:e2412.


2023

Bartoš, F., & Wagenmakers, E.-J. (2023). A general approximation to nested Bayes factors with informed priors. Stat, 12, e600.

van den Bergh, D., Wagenmakers, E.-J., & Aust, F. (2023). Bayesian repeated-measures ANOVA: An updated methodology implemented in JASP. Advances in Methods and Practices in Psychological Science, 6, 1-11.

Sarafoglou, A., Hoogeveen, S., & Wagenmakers, E.-J. (2023). Comparing analysis blinding with preregistration in the Many-Analysts Religion Project. Advances in Methods and Practices in Psychological Science, 6, 1-19.

Wagenmakers, E.-J., van Doorn, J., & van den Bergh, D. (2023). Toegankelijke en duurzame statistiek met JASP [Accessible and sustainable statistics with JASP]. STAtOR, 24, 41-47.

Hoogeveen, S., Sarafoglou, A., van Elk, M., & Wagenmakers, E.-J. (2023). Many-analysts religion project: reflection and conclusion. Religion, Brain & Behavior, 13, 356-363.

Hoogeveen, S., Sarafoglou, A.,..., van Elk, M., & Wagenmakers, E-J. (2023). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain & Behavior, 13, 237-283.

Wagenmakers, E.-J., Sarafoglou, A., & Aczel, B. (2023). Facing the unknown unknowns of data analysis. Current Directions in Psychological Science, 32, 362-368.

Wang, Y., van den Bergh, D., Aust, F., Ly, A., Wagenmakers, E.-J., & Hu, C. (2023). The implementation of Bayesian ANOVA in JASP: A practical primer. Psychology: Techniques and Application, 11, 528-541. [in Chinese]

Bartoš, F., Maier, M., Wagenmakers, E.-J., Doucouliagos, H., & Stanley, T. D. (2023). Robust Bayesian meta-analysis: Model-averaging across complementary publication bias adjustment methods. Research Synthesis Methods, 14, 99-116.

Pfadt, J. M., van den Bergh, D., Sijtsma, K., & Wagenmakers, E.-J. (2023). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods, 55, 1069-1078.

Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., Mulder, J., Palfi, B., Schönbrodt, F., Tendeiro, J., van den Bergh, D., van Lissa, C. J., van Ravenzwaaij, D., Vanpaemel, W., Wagenmakers, E.-J., Williams, D. R., Zondervan-Zwijnenburg, M., & Hoijtink, H. (2023). A review of applications of the Bayes factor in psychological research. Psychological Methods, 28, 558-579.

Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E.-J., & Marsman, M. (2023). Evaluating multinomial order restrictions with bridge sampling. Psychological Methods, 28, 322-338.

Linde, M., Tendeiro, J. N., Selker, R., Wagenmakers, E.-J., & van Ravenzwaaij, D. (2023). Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor. Psychological Methods, 28, 740-755.

Maier, M., Bartoš, F. & Wagenmakers, E.-J. (2023). Robust Bayesian meta-analysis: Addressing publication bias with model-averaging. Psychological Methods, 28, 107-122.

Hoogeveen, S., Berkhout, S. W., Gronau, Q. F., Wagenmakers, E.-J., & Haaf, J. M. (2023). Improving statistical analysis in team science: The case of a Bayesian multiverse of Many Labs 4. Advances in Methods and  Practices in Psychological Science, 6, 1-25.

Hoogeveen, S., van Elk, M., & Wagenmakers, E.--J. (2023). Geloof in het bovennatuurlijke daalt fors [Belief in the supernatural declines sharply]. Skepter, 36, 5-13.

Pawel, S.,  Aust, F., Held, L., & Wagenmakers, E.-J. (2023). Normalized power priors always discount historical data. Stat, 12:e591.

Wagenmakers, E.-J. (2023). De psi van sex. [The psi of Eros]. Skepter, 36, 37-38.

Wagenmakers, E.-J. (2023). Is the biggest challenge to scientific thinking science itself? [Book review of 'Distrust: Big data, data-torturing, and the assault on science', by Gary Smith]. Nature, 617, 669-670.

Forscher, P. S., Wagenmakers, E.-J., Coles, N. A., Silan, M. A., Dutra, N., Basnight-Brown, D., & IJzerman, H. (2023). The benefits, barriers, and risks of big-team science. Perspectives on Psychological Science, 18, 607-623.

van Dongen, N., Wagenmakers, E.-J., & Sprenger, J. (2023). A Bayesian perspective on severity: Risky predictions and specific hypotheses. Psychonomic Bulletin & Review, 30, 516-533.

van Doorn, J., Aust, F., Haaf, J., Stefan, A., & Wagenmakers, E.-J. (2023). Bayes factors for mixed models. Computational Brain & Behavior, 6, 1-13.

van Doorn, J., Aust, F., Haaf, J. M., Stefan, A., & Wagenmakers, E.-J. (2023). Bayes factors for mixed models: Perspective on responses. Computational Brain & Behavior, 6, 127-139.

van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J., Schad, D., Shiffrin, R., Singmann, H., Vasishth, S., Verıssimo, J., Bockting, F., Chandramouli, S., Dunn, J. C., Gronau, Q. F., Linde, M., McMullin, S. D., Navarro, D., Schnuerch, M., Yadav, H., & Aust, F. (2023). Bayes factors for mixed models: A discussion. Computational Brain & Behavior, 6, 140-158.

Hardwicke, T. E., & Wagenmakers, E.-J. (2023). Reducing bias, increasing transparency and calibrating confidence with preregistration. Nature Human Behaviour, 7, 15-26.

Wagenmakers, E.-J., & Ly, A. (2023). History and nature of the Jeffreys-Lindley paradox. Archive for History of Exact Sciences, 77, 25-72.

Gray, J., Cherry, J. L., Wagenmakers, E.-J., & Ly, A. (2023). The Jeffreys-Lindley paradox: An exchange. Archive for History of Exact Sciences, 77, 443-449.


2022

Bartoš, F., Maier, M., Quintana, D. S., & Wagenmakers, E.-J. (2022). Adjusting for publication bias in JASP & R -- selection models, PET-PEESE, and robust Bayesian meta-analysis. Advances in Methods and Practices in Psychological Science, 5, 1-19.

Stefan, A. M., Evans, N. J., & Wagenmakers, E.-J (2022). Practical challenges and methodological flexibility in prior elicitation. Psychological Methods, 27, 177-197.

Ly, A., & Wagenmakers, E.-J. (2022). Bayes factors for peri-null hypotheses. TEST, 31, 1121-1142.

Stefan, A., Katsimpokis, D., Gronau, Q. F., & Wagenmakers, E.-J. (2022). Expert agreement in prior elicitation and its effects on Bayesian inference. Psychonomic Bulletin & Review, 29, 1776-1794.

van Ravenzwaaij, D., & Wagenmakers, E.-J. (2022). Advantages masquerading as ‘issues’ in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019). Psychological Methods, 27, 451-465.

Stefan, A., Lengersdorff, L., & Wagenmakers, E.-J. (2022). A two-stage Bayesian sequential assessment of exploratory hypotheses. Collabra: Psychology, 8:40350.

Wagenmakers, E.-J., Gronau, Q. F., Dablander, F., & Etz, A. (2022). The support interval. Erkenntnis, 87, 589-601.

Rosenberg, J., Kubsch, M., Wagenmakers, E.-J., & Dogucu, M. (2022). Making sense of uncertainty in the science classroom: A Bayesian approach. Science & Education, 31, 1239-1262.

Sarafoglou, A., van der Heijden, A.,Draws, T., Cornelisse, J., Wagenmakers, E.-J., & Marsman, M. (2022). Combine statistical thinking with open scientific practice: A protocol of a Bayesian research project. Psychology Learning and Teaching, 21, 138-150.

Temp, A. G. M., Ly, A., van Doorn, J., Wagenmakers, E.-J., Tang, Y., Lutz, M. W., & Teipel, S. (2022). A Bayesian perspective on Biogen's aducanumab trial. Alzheimer's & Dementia, 18, 2341-2351.

Ly, A., & Wagenmakers, E.-J. (2022). A critical evaluation of the FBST ev for Bayesian hypothesis testing. Computational Brain & Behavior, 5, 564-571.

Ly, A., & Wagenmakers, E.-J. (2022). Measure-theoretic musings cannot salvage the Full Bayesian Significance Test as a measure of evidence: Rejoinder to Kelter. Computational Brain & Behavior, 5, 583-589.

Stefan, A. M., Schönbrodt, F. D., Evans, N. J., & Wagenmakers, E.-J. (2022). Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test. Behavior Research Methods, 54, 3100-3117.

Pfadt, J. M., van den Bergh, D., Sijtsma, K., Moshagen, M., & Wagenmakers, E.-J. (2022). Bayesian estimation of single-test reliability coefficients. Multivariate Behavioral Research, 57, 620-641.

Manning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., Wagenmakers, E.-J., Snowling, M. J., Scerif, G., & Evans, N. J. (2022). Visual motion and decision-making in dyslexia: Evidence of reduced accumulation of sensory evidence and related neural dynamics. Journal of Neuroscience, 42, 121-134.

Maier, M., Bartoš, F., Stanley, T. D., Shanks, D. R., Harris, A. J. L., & Wagenmakers, E.-J. (2022). No evidence for nudging after adjusting for publication bias. Proceedings of the National Academy of Sciences, 119, e2200300119.

Sarafoglou, A., Kovacs, M., Bakos, B. E., Wagenmakers, E.-J., & Aczel, B. (2022). A survey on how preregistration affects the research workflow: Better science but more work. Royal Society Open Science, 9:211997.

Wagenmakers, E.-J., Sarafoglou, A., & Aczel, B. (2022). One statistical analysis must not rule them all. Nature, 605, 423-425.

Manning, C., Hassall, C. D., Hunt, L., Norcia, A., Wagenmakers, E.-J., Evans, N. J., & Scerif, G. (2022). Behavioural and neural indices of perceptual decision-making in autistic children during visual motion tasks. Scientific Reports, 12, 6072.

Dablander, F., Huth, K., Gronau, Q. F., Etz, A., & Wagenmakers, E.-J. (2022). A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions. Statistics in Medicine, 41, 1319-1333.


2021

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, 621-636.

Gronau, Q. F., Heck, D., Berkhout, S., Haaf, J., & Wagenmakers, E.-J. (2021). A primer on Bayesian model-averaged meta-analysis. Advances in Methods and Practices in Psychological Science, 4, 1-19.

Bartoš, F., Gronau, Q. F., Timmers, B., Otte, W. M., Ly, A., & Wagenmakers, E.-J. (2021). Bayesian model-averaged meta-analysis in medicine. Statistics in Medicine, 40, 6743-6761.

Ampuero, J.-P., & Wagenmakers, E.-J. (2021). Review of the TNO 2021 model chain Groningen report. Available as an appendix at https://www.nlog.nl/en/results-gas-year-2022-2023.

Wagenmakers, E.-J. (2021). Bernoulli's Fallacy. CHANCE, 34, 37-38.

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, 2733.

Mulder, J., Gu, X., Olsson-Collentine, A., Tomarken, A., Böing-Messing, F., Hoijtink, H., Meijerik, M., Williams, D. R., Menke, J., Fox, J.-P., Rosseel, Y., Wagenmakers, E.-J., & van Lissa, C. (2021). BFpack: Flexible Bayes factor testing of scientific theories in R. Journal of Statistical Software, 100, 1-63.

Gronau, Q. F., Raj K. N., A., & Wagenmakers, E.-J. (2021). Informed Bayesian inference for the A/B test. Journal of Statistical Software, 100, 1-39.

Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O. R., Albers, C. J., van Assen, M. A. L. M., Bastiaansen, J. A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L. F., Busch, N. A., Caruyer, E., Cataldo, A. M., Cowan, N.,  Delios, A., van Dongen, N. N. N., Donkin, C., van Doorn, J. B., Dreber, A., Dutilh, G., Egan, G. F., Gernsbacher, M. A., Hoekstra, R., Hoffmann, S., Holzmeister, F., Huber, J., Johannesson, M., Jonas, K. J., Kindel, A. T., Kirchler, M.,  Kunkels, Y. K., Lindsay, D. S., Mangin, J.-F., Matzke, D., Munafò, M. R., Newell, B. R., Nosek, B. A., Poldrack, R. A., van Ravenzwaaij, D., Rieskamp, J., Salganik, M. J., Sarafoglou, A., Schonberg, T., Schweinsberg, M., Shanks, D., Silberzahn, R., Simons, D. J., Spellman, B. A., St-Jean, S., Starns, J. J., Uhlmann, E. L., Wicherts, J., & Wagenmakers, E.-J. (2021). Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10:e72185.

van den Bergh, D., Clyde, M. A., Raj, A., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., and Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53, 2351-2371.

Wagenmakers, E.-J., Sarafoglou, A., Aarts, S., Albers, C., Algermissen, J., Bahnik, S., van Dongen, N., Hoekstra, R., Moreau, D., van Ravenzwaaij, D., Sluga, A., Stanke, F., Tendeiro, J., & Aczel, B. (2021). Seven steps toward more transparency in statistical practice. Nature Human Behaviour, 5, 1473-1480.

Temp, A. G. M., Lutz, M. W., Trepel, D., Tang, Y., Wagenmakers, E.-J., Khachaturian, A. S., & Teipel, S. (2021). How Bayesian statistics may help answer some of the controversial questions in clinical research on Alzheimer's disease. Alzheimer's & Dementia, 17, 917-919.

Wagenmakers, E.-J. (2021). Defiant denial is self-defeating. Psychological Inquiry, 32, 12-16.

Hulme, O. J., Wagenmakers, E.-J., Damkier. P.,  Madelung, C. F., Siebner, H. R., Helweg-Larsen, J., Gronau, Q. F., Benfield, T., &, Madsen, K. H. (2021). Reply to Gautret et al. 2020: A Bayesian reanalysis of the effects of hydroxychloroquine and azithromycin on viral carriage in patients with COVID-19. PLOS ONE, 16, e0245048.

Vohs, K. D., Schmeichel, B. J., Lohmann, S., Gronau, Q. F., Finley, A., ..., Wagenmakers, E.-J, & Albarracín, D. (2021). A multi-site preregistered paradigmatic test of the ego depletion effect. Psychological Science, 32, 1566-1581.

van den Bergh, D., Haaf, J. M., Ly, A., Rouder, J. N., & Wagenmakers, E.-J. (2021). A cautionary note on estimating effect size. Advances in Methods and Practices in Psychological Science, 4, 1-8.

Dutilh, G., Sarafoglou, A., & Wagenmakers, E.-J. (2021). Flexible yet fair:  Blinding analyses in experimental psychology. Synthese, 198, 5745-5772.

van Doorn, J., van den Bergh, D., Boehm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28, 813-826.

Shiffrin, R. M., Matzke, D., Crystal, J. D., Wagenmakers, E.-J., Chandramouli, S. H., Vandekerckhove, J., Zorzi, M., Morey, R. D., & Murphy, M. C. (2021). Extraordinary claims, extraordinary evidence? A discussion. Learning & Behavior, 49, 265-275.

Wagenmakers, E.-J. (2021). De grote SKEPTER-skepsistest. Skepter, 34, 4-8.

Steingroever, H., Wabersich, D., & Wagenmakers, E.-J. (2021). Modeling across-trial variability in the Wald drift rate parameter. Behavior Research Methods, 53, 1060-1076.

Ly, A., van den Bergh, D., Bartoš, F., & Wagenmakers, E.-J. (2021). Bayesian inference with JASP. The ISBA Bulletin, 28, 7-15.

Manning, C., Wagenmakers, E.-J., Norcia, A. M., Scerif, G., & Boehm, U. (2021). Perceptual decision-making in children: Age-related differences and EEG correlates. Computational Brain & Behavior, 4, 53-69.

van Doorn, J., van den Bergh, D., Dablander, F., van Dongen, N., Derks, K., Evans, N., Gronau, Q. F., Haaf, J. M., Kunisato, Y., Ly, A., Marsman, M., Sarafoglou, A., Stefan, A., & Wagenmakers, E.-J. (2021). Strong public claims may not reflect researchers' private convictions. Significance, 18, 44-45.

Verschuere, B., De Schryver, M., van den Bergh, D., Wagenmakers, E.-J., & Meijer, E. (2021). Are dishonest politicians more likely to be reelected? A Bayesian view. Proceedings of the National Academy of Sciences, 118, e2022718118.


2020

Wagenmakers, E.-J. (2020). Bayesian thinking for toddlers. A Dutch version ("Bayesiaans Denken voor Peuters") is here, a German version ("Bayesianisches Denken mit Dinosauriern") is here, a Turkish version ("Dinozorlar, Kurabiyeler ve Bayesçi Düşünce") is here, and a Chinese version ("贝叶斯思维儿童读本") is here.

Mulder, J., Wagenmakers, E.-J., & Marsman, M. (2020). A generalization of the Savage-Dickey density ratio for testing equality and order constrained hypotheses. The American Statistician, 76, 102-109.

Evans, N., Dutilh, G., Wagenmakers, E.-J., & van der Maas, H. L. J. (2020). Double responding: A new constraint for models of speeded decision making. Cognitive Psychology, 121, 101292.

Evans, N. J., Tillman, G., & Wagenmakers, E.-J. (2020). Systematic and random sources of variability in perceptual decision-making: Comment on Ratcliff, Voskuilen, and McKoon (2018). Psychological Review, 127, 932-944.

Field, S. M., Wagenmakers, E.-J., Kiers, H., Hoekstra, R., Ernst, A., & van Ravenzwaaij, D. (2020). The effect of preregistration on trust in empirical research findings: Results of a registered report. Royal Society Open Science, 7: 181351.

Evans, N. J., & Wagenmakers, E.-J. (2020). Evidence accumulation models: Current limitations and future directions. The Quantitative Methods for Psychology, 16, 73-90.

Landy, J. F., Jia, M., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., Ly, A., van den Bergh, D., Marsman, M., Derks, K., Wagenmakers, E.-J., Proctor, A., Bartels, D. M., Bauman, C. W., Brady, W. J., Cheung, F., Cimpian, A., Dohle, S., Donnellan, M. B., Hahn, A., Hall, M. P.,  Jiménez-Leal, W., Johnson, D. J., Lucas, R. E., Monin, B., Montealegre, A., Mullen, E., Pang, J., Ray, J., Reinero, D. A., Reynolds, J.,  Sowden, W., Storage, D., Su, R., Tworek, C. M., Van Bavel, J. J., Walco, D., Wills, J., Xu, X., Yam, K. C., Yang, X., Cunningham, W. A.,  Schweinsberg, M., Urwitz, M., The Crowdsourcing Hypothesis Tests Collaboration, & Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146, 451-479. The supplements are here.

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2020). Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ. Journal of Applied Statistics, 47, 2984-3006.

Wagenmakers, E.-J., & Pecher, D. (2020). Koppen en staarten. Skepter, 33, 16-20.

Boehm, U., van Maanen, L., Evans, N. J., Brown, S. D., & Wagenmakers, E.-J. (2020). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception, & Psychophysics, 82, 1520-1534.

Wagenmakers, E.-J., Lee, M. D., Rouder, J. N., & Morey, R. D. (2020). The principle of predictive irrelevance or why intervals should not be used for model comparison featuring a point null hypothesis. In C. W. Gruber (Ed.), The Theory of Statistics in Psychology -- Applications, Use and Misunderstandings, pp. 111-129. Cham: Springer.

Faulkenberry, T., Ly, A., & Wagenmakers, E.-J. (2020). Bayesian inference in numerical cognition: A tutorial using JASP. Journal of Numerical Cognition, 6, 231-259.

Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople can predict which social science studies replicate. Advances in Methods and Practices in Psychological Science, 3, 267-285.

Wagenmakers, E.-J. (2020). Statistical dark arts imperil democracy - and life [Book review of 'Calling bullshit: The art of scepticism in a data-driven world', by Carl T. Bergstrom & Jevin D. West]. Nature, 584, 36.

Keysers, C., Gazzola, V., & Wagenmakers, E.-J. (2020). Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nature Neuroscience, 23, 788-799.

Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, Š., Derks, K., Gronau, Q. F., Raj, A., Boehm, U., van Kesteren, E.-J., Hinne, M., Matzke, D., Marsman, M., & Wagenmakers, E.-J. (2020). The Bayesian methodology of Sir Harold Jeffreys as a practical alternative to the p-value hypothesis test. Computational Brain & Behavior, 3, 153-161.

Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2020). A conceptual introduction to Bayesian model averaging. Advances in Methods and Practices in Psychological Science, 3, 200-215.

Wagenmakers, E.-J., & Ly, A. (2020). Held's stubborn sceptic [comment on Held] (pp. 460-461). In: Discussion on the meeting on `Signs and sizes: understanding and replicating statistical findings', Journal of the Royal Statistical Society A, 183, 449-469.

Wagenmakers, E.-J., Kucharský, Š., & the JASP Team (2020). The JASP Data Library (1st ed.).

van den Bergh, D., Bogaerts, S., Spreen, M., Flohr, R., Vandekerckhove, J., Batchelder, W. H., & Wagenmakers, E.-J. (2020). Cultural consensus theory for the evaluation of patients' mental health scores in forensic psychiatric hospitals. Journal of Mathematical Psychology, 98, 102383.

Dahrendorf, M., Hoffmann, T., Mittenbühler, M., Wiechert, S.-M., Sarafoglou, A., Matzke, D., & Wagenmakers, E.-J. (2020). "Because it is the right thing to do": Taking stock of the Peer Reviewers' Openness Initiative. Journal of European Psychology Students, 11, 15-20.

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, 561-563.

Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2020). Informed Bayesian t-tests. The American Statistician, 74, 137-143.

van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E.-J. (2020). A tutorial on conducting and interpreting a Bayesian ANOVA in JASP. L'Année Psychologique/Topics in Cognitive Psychology, 120, 73-96. [press "télécharger" for the free pdf]

Gronau, Q. F., Singmann, H., & Wagenmakers, E.-J. (2020). bridgesampling: An R package for estimating normalizing constants. Journal of Statistical Software, 92.

Sarafoglou A., Hoogeveen S., Matzke D., & Wagenmakers, E.-J. (2020). Teaching good research practices: Protocol of a research master course. Psychology Learning and Teaching, 19, 46-59.

van Doorn, J., Matzke, D., & Wagenmakers, E.-J. (2020). An in-class demonstration of Bayesian inference. Psychology Learning and Teaching, 19, 36-45.

Aczel, B., Szaszi, B., Sarafoglou, A., Kekecs, Z., Kucharský, Š., Benjamin, D., Chambers, C. D., Fisher, A., Gelman, A., Gernsbacher, M. A., Ioannidis, J. P., Johnson, E., Jonas, K., Kousta, S., Lilienfeld, S. O., Lindsay, D. S., Morey, C. C., Munafò, M., Newell, B. R., Pashler, H., Shanks, D. R., Simons, D. J., Wicherts, J. M., Albarracin, D., Anderson, N. D., Antonakis, J., Arkes, H., Back, M. D., Banks, G. C., Beevers, C., Bennett, A. A., Bleidorn, W., Boyer, T. W., Cacciari, C., Carter, A. S., Cesario, J., Clifton, C., Conroy, R. M., Cortese, M., Cosci, F., Cowan, N., Crawford, J., Crone, E. A., Curtin, J., Engle, R., Farrell, S., Fearon, P., Fichman, M., Frankenhuis, W., Freund, A. M., Gaskell, M. G., Giner-Sorolla, R., Green, D. P., Greene, R. L., Harlow, L. L., Hoces de la Guardia, F., Isaacowitz, D., Kolodner, J., Lieberman, D., Logan, G. D., Mendes, W. B., Moersdorf, L., Nyhan, B., Pollack, J., Sullivan, C., Vazire, S., & Wagenmakers, E.-J. (2020). A consensus-based transparency checklist. Nature Human Behaviour, 4, 4-6.


2019

Evans, N. J., & Wagenmakers, E.-J. (2019). Theoretically meaningful models can answer clinically relevant questions. Brain, 142, 1166-1175.

Ly, A., Etz, A., Marsman, M., & Wagenmakers, E.-J. (2019). Replication Bayes factors from evidence updating. Behavior Research Methods, 51, 2498-2508.

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

Hoogeveen, S., Wagenmakers, E.-J., Kay, A., & van Elk, M. (2019). Compensatory control and belief in God: a Registered Replication Report across two countries. Comprehensive Results in Social Psychology, 3, 240-265.

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.

Selker, R., van den Bergh, D., Criss, A., & Wagenmakers, E.-J. (2019). Parsimonious estimation of signal detection models from confidence ratings. Behavior Research Methods, 51, 1953-1967.

Wagenmakers, E.-J. (2019). Prins op een missie. De Psycholoog, 54, 28-29. Book review of "De 7 Doodzonden van de Psychologie: Pleidooi voor een Cultuuromslag in de Wetenschappelijke Praktijk" ("The Seven Deadly Sins of Psychology: A Manifesto for Reforming the Culture of Scientific Practice") by Chris Chambers.

Marsman, M., Waldorp, L., Dablander, F., & Wagenmakers, E.-J. (2019). Bayesian estimation of explained variance in ANOVA designs. Statistica Neerlandica, 73, 351-372.

Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2019). A tutorial on Bayes Factor Design Analysis using an informed prior. Behavior Research Methods, 51, 1042-1058.

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, 631-643.

Wagenmakers, E.-J. (2019). Het plagiaat van Lord Francis Bacon [Lord Francis Bacon's plagiarism]. Skepter, 32, 43-46.

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. The American Statistician, 73, 328-339.

Gronau, Q. F., Wagenmakers, E.-J., 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.

Gronau, Q. F., & Wagenmakers, E.-J. (2019). Rejoinder: More limitations of Bayesian leave-one-out cross-validation. Computational Brain & Behavior, 2, 35-47.

Gronau, Q. F., & Wagenmakers, E.-J. (2019). Limitations of Bayesian leave-one-out cross-validation for model selection. Computational Brain & Behavior, 2, 1-11.

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2019). Bayesian estimation of Kendall's tau using a latent normal approach. Statistics & Probability Letters, 145, 268-272.

Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, A. J., Ly, A., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Wild, A., Knight, P., Rouder, J. N., Morey, R. D., Wagenmakers, E.-J. (2019). JASP -- graphical statistical software for common statistical designs. Journal of Statistical Software, 88.


2018

Hoekstra, R., Monden, R., van Ravenzwaaij, D., & Wagenmakers, E.-J. (2018). Bayesian reanalysis of null results reported in the New England Journal of Medicine: Strong yet variable evidence for the absence of treatment effects. PLoS ONE, 13: e0195474.

Wagenmakers, E.-J. & Gronau, Q. F. (2018). De Bayesiaanse leercyclus [The Bayesian learning cycle]. STAtOR, 19, 8-13.

Lee, M. D., Narens, L.,& Wagenmakers, E.-J. (2018). In memoriam: William H. Batchelder.

Wixted, J. T. & Wagenmakers, E.-J. (Eds., 2018). Stevens' handbook of experimental psychology and cognitive neuroscience (4th ed.): Volume 4: Methodology. New York: Wiley.

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2018). Bayesian inference for Kendall's rank correlation coefficient. The American Statistician, 72, 303-308.

Boehm, U., Steingroever, H., & Wagenmakers, E.-J. (2018). Using Bayesian regression to test hypotheses about relationships between parameters and covariates in cognitive models. Behavior Research Methods, 50, 1248-1269.

Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E., Bahník, Š., Bai, F., Bannard, C., Bonnier, E., Carlsson, R., Cheung, F., Christensen, G., Clay, R., Craig, M. A., Dalla Rosa, A., Dam, L., Evans, M. H., Flores Cervantes, I., Fong, N., Gamez-Djokic, M., Glenz, A., Gordon-McKeon, S., Heaton, T. J., Hederos Eriksson, K., Heene, M., Hofelich, Mohr, A. J., Högden F., Hui, K., Johannesson, M., Kalodimos, J., Kaszubowski, E., Kennedy, D. M., Lei, R., Lindsay, T. A., Liverani, S., Madan, C. R., Molden, D., Molleman, E., Morey, R. D., Mulder, L. B., Nijstad, B. R., Pope, N. G., Pope, B., Prenoveau, J. M., Rink, F., Robusto, E., Roderique, H., Sandberg, A., Schlüter, E., Schönbrodt, F. D., Sherman, M. F., Sommer, S. A., Sotak, K., Spain, S., Spörlein C., Stafford, T., Stefanutti, L., Tauber, S., Ullrich, J., Vianello, M., Wagenmakers, E.-J., Witkowiak, M., Yoon, S., & Nosek, B. A. (2018). Many analysts, one data set: Making transparent how variations in analytic choices affect results. Advances in Methods and Practices in Psychological Science, 1, 337-356.

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, 158-169.

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.

Meindertsma, T., Kloosterman, N., Engel, A., Wagenmakers, E.-J., & Donner, T. (2018). Surprise about sensory event timing drives cortical transients in the beta frequency band. Journal of Neuroscience, 38, 7600-7610.

Boehm, 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.

Beek, T., Matzke, D., Pinto, Y., Rotteveel, M., Gierholz, A., Selker, R., Sasiadek, A., Steingroever, H., Jostmann, N., & Wagenmakers, E.-J. (2018). Incidental haptic sensations may not influence social judgments: A purely confirmatory replication attempt of Study 1 by Ackerman, Nocera, & Bargh (2010). Journal of Articles in Support of the Null Hypothesis, 14, 69-89.

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., Hogenboom, S. A. M., Kahveci, S., Karaban, I. J., Kevenaar, S. T., te Koppele, J. L., Kramer, A.-W., Kroon, E., Kucharský, Š., Lieuw-On, R., Lunansky, G., Matzen, T. P., Meijer, A., Nieper, A., de Nooij, L., Poelstra, L., van der Putten, W. J., Sarafoglou, A., Schaaf, J. V., van de Schraaf, S. A. J., van Schuppen, S. and Schutte, M. H. M. and Seibold, M. and Slagter, S. K. and Snoek, A. C. and Stracke, S. and Tamimy, Z. and Timmers, B. and Tran, H. and Uduwa-Vidanalage, E. S. and Vergeer, L. and Vossoughi, L. and Yücel, D. E., & 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.

Wagenmakers, E.-J. (2018). De bom van Bem [Bem's Bom]. Skepter, 31, 5-9.

Aczel, B., Palfi, B., Szollosi, A., Kovacs, M., Szaszi, B., Szecsi, P., Zrubka, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2018). Quantifying support for the null hypothesis in psychology: An empirical investigation. Advances in Methods and Practices in Psychological Science, 1, 357-366.

Gronau, Q. F., & Wagenmakers, E.-J. (2018). Bayesian evidence accumulation in experimental mathematics: A case study of four irrational numbers. Experimental Mathematics, 27, 277-286.

Camerer, C., Dreber Almenberg, A., Holzmeister, F., Ho, T.-H., Huber, J., Johannesson, M., Kirchler, M., Nave, G., Nosek, B., Pfeiffer, T., Altmejd, A., Buttrick, N., Chan, T., Chen, Y., Forsell, E., Gampa, A., Heikensten, E., Hummer, L., Imai, T., Isaksson, S., Manfredi, D., Rose, J., Wagenmakers, E.-J., & Wu, H. (2018). Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015. Nature Human Behaviour, 2, 637-644.

Ly, A., Raj, A., Marsman, M., Etz, A., & Wagenmakers, E.-J. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 3, 367-374.

Boehm, U., Marsman, M., Matzke, D., & Wagenmakers, E.-J. (2018). On the importance of avoiding shortcuts in applying cognitive models to hierarchical data. Behavior Research Methods, 50, 1614-1631.

Wagenmakers, E.-J., Dutilh, G., & Sarafoglou, A. (2018). The creativity-verification cycle in psychological science: New methods to combat old idols. Perspectives on Psychological Science, 13, 418-427.

Hu, C.-P., Kong, X-Z., Wagenmakers, E.-J., Ly, A., & Peng, K. (2018). The Bayes factor and its implementation in JASP: A practical primer. Advances in Psychological Science, 26, 951-965. [in Chinese]

Benjamin, D. J., Berger, J. O.,  Johannesson, M., Nosek, B. A., Wagenmakers, E.-J., Berk, R., Bollen, K. A., Brembs, B., Brown, L., Camerer, C., Cesarini, D., Chambers, C. D., Clyde, M., Cook, T. D., De Boeck, P., Dienes, Z., Dreber, A., Easwaran, K., Efferson, C., Fehr, E., Fidler, F., Field, A. P., Forster, M., George, E. I., Gonzalez, R., Goodman, S., Green, E., Green, D. P., Greenwald, A., Hadfield, J. D., Hedges, L. V., Held, L., Ho, T.-H., Hoijtink, H., Jones, J. H., Hruschka, D. J., Imai, K., Imbens, G., Ioannidis, J. P. A., Jeon, M., Kirchler, M., Laibson, D., List, J., Little, R., Lupia, A., Machery, E., Maxwell, S. E., McCarthy, M., Moore, D., Morgan, S. L., Munafó, M., Nakagawa, S., Nyhan, B., Parker, T. H., Pericchi, L., Perugini, M., Rouder, J., Rousseau, J., Savalei, V., Schönbrodt, F. D., Sellke, T., Sinclair, B., Tingley, D., Van Zandt, T., Vazire, S., Watts, D. J., Winship, C., Wolpert, R. L., Xie, Y., Young, C., Zinman, J., & Johnson, V. E. (2018). Redefine statistical significance. Nature Human Behaviour, 2, 6-10.

Schönbrodt, F., & Wagenmakers, E.-J. (2018). Bayes factor design analysis: Planning for compelling evidence. Psychonomic Bulletin & Review, 25, 128-142.

Houtkoop, B. L., Chambers, C.,  Macleod, M., Bishop, D. V. M., Nichols, T. E., & Wagenmakers, E.-J. (2018). Data sharing in psychology: A survey on barriers and preconditions. Advances in Methods and Practices in Psychological Science, 1, 70-85.

Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, A. J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25, 35-57.

Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, A. 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., de Jong, T., van den Bergh, D., Sarafoglou, A., Steingroever, H., Derks, K., Rouder, J. N., & Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25, 58-76.

Mackenbach, J., de Jong, J. P., van Duijn, C., Büller, H., van der Vaart, A., Wagenmakers, E.-J., Dankers, P., & Bouter, L. (2018). Replication studies: Improving reproducibility in the empirical sciences. Koninklijke Nederlandse Akademie van Wetenschappen.

Ly, A., Marsman, M., & Wagenmakers, E.-J. (2018). Analytic posteriors for Pearson's correlation coefficient. Statistica Neerlandica, 72, 4-13.


2017

Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E.-J., & Steingroever, H. (2017). A tutorial on bridge sampling. Journal of Mathematical Psychology, 81, 80-97.

Ly, A., Marsman, M., Verhagen, A. J., Grasman, R. P. P. P., & Wagenmakers, E.-J. (2017). A tutorial on Fisher information. Journal of Mathematical Psychology, 80, 40-55.

Wagenmakers, E.-J. (2017). Comment on Gelman and Hennig, "Beyond subjective and objective in statistics". Journal of the Royal Statistical Society A, 180, 1023.

Gronau, Q. F., Duizer, M., Bakker, M., & Wagenmakers, E.-J. (2017). Bayesian mixture modeling of significant p values: A meta-analytic method to estimate the degree of contamination from H0. Journal of Experimental Psychology: General, 146, 1223-1233.

Wagenmakers, E.-J. (2017). Likelihood: A halfway house? In vivo contribution to Farrell, S. and Lewandowsky, S. (2017). Computational Modeling of Cognition and Behaviour. Cambridge University Press.

Forstmeier, W., Wagenmakers, E.-J., & Parker, T. (2017). Detecting and avoiding likely false-positive findings -- A practical guide. Biological Reviews, 92, 1941-1968.

Evans, N. J., Hawkins, G. E., Boehm, U., Wagenmakers, E.-J., & Brown, S. D. (2017). The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models. Scientific Reports, 7.

Scheibehenne, B., Gronau, Q. F., Jamil, T., & Wagenmakers, E.-J. (2017). Fixed or random? A resolution through model-averaging. Reply to Carlsson, Schimmack, Williams, and Burkner. Psychological Science, 28, 1698-1701.

Jamil, T., Marsman, M., Ly, A., Morey, R. D.,  & Wagenmakers, E.-J. (2017). What are the odds? Modern relevance and Bayes factor solutions for MacAlister's problem from the 1881 Educational TimesEducational and Psychological Measurement, 77, 819-830.

Matzke, D., Ly, A., Selker, R., Weeda, W. D., Scheibehenne, B., Lee, M. D., & Wagenmakers, E.-J. (2017). Bayesian inference for correlations in the presence of measurement error and estimation uncertainty. Collabra, 3:25.

van Elk, M. & Wagenmakers, E.-J. (2017). Can the experimental study of religion be advanced using a Bayesian predictive framework? Religion, Brain & Behavior, 7, 331-334.

Wagenmakers, E.-J. (2017). Het zwaard van Alhazen [The sword of Alhazen]. Skepter, 30, 34-35.

van Erp, S., Verhagen, A. J., Grasman, R. P. P. P., & Wagenmakers, E.-J. (2017). Estimates of between-study heterogeneity for 705 meta-analyses reported in Psychological Bulletin from 1990-2013. Journal of Open Psychology Data, 5:4.

Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie du Sert, N., Simonsohn, U., Wagenmakers, E.-J., Ware, J. J., & Ioannidis, J. P. A. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1, 0021.

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

Marsman, M. & Wagenmakers, E.-J. (2017). Bayesian benefits with JASP. European Journal of Developmental Psychology, 14, 545-555.

Gronau, Q. F., van Erp, S., Heck, D. W., Cesario, J., Jonas, K. J., & Wagenmakers, E.-J. (2017). A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: The case of felt power. Comprehensive Results in Social Psychology, 2, 123-138.

Marsman, M., & Wagenmakers, E.-J. (2017). Three insights from a Bayesian interpretation of the one-sided P value. Educational and Psychological Measurement, 77, 529-539.

Schönbrodt, F. D., Wagenmakers, E.-J., Zehetleitner, M., & Perugini, M. (2017). Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences. Psychological Methods, 22, 322-339.

Rouder, J. N., Morey, R. D., Verhagen, A. J., Swagman, A. R., & Wagenmakers, E.-J. (2017). Bayesian analysis of factorial designsPsychological Methods, 22, 304-321.

Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E.-J. (2017). Default "Gunel and Dickey" Bayes factors for contingency tables. Behavior Research Methods, 49, 638-652.

Etz, A., & Wagenmakers, E.-J. (2017). J. B. S. Haldane's contribution to the Bayes factor hypothesis test. Statistical Science, 32, 313-329.

Dutilh, G., Vandekerckhove, J., Ly, A., Matzke, D., Pedroni, A., Frey, R., Rieskamp, J., & Wagenmakers, E.-J. (2017). A test of the diffusion model explanation for the worst performance rule using preregistration and blinding. Attention, Perception, & Psychophysics, 79, 713-725.

Wagenmakers, E.-J., Verhagen, A. J., Ly, A., Matzke, D., Steingroever, H., Rouder, J. N., & Morey, R. D. (2017). The need for Bayesian hypothesis testing in psychological science. In Lilienfeld, S. O., & Waldman, I. (Eds.), Psychological Science Under Scrutiny: Recent Challenges and Proposed Solutions, pp. 123-138. John Wiley and Sons.

Marsman, M., Schönbrodt, F., Morey, R. D., Yao, Y., Gelman, A., & Wagenmakers, E.-J. (2017). A Bayesian bird's eye view of "Replications of Important Results in Social Psychology". Royal Society Open Science, 4: 160426.


2016

Scheibehenne, B., Jamil, T., & Wagenmakers, E.-J. (2016). Bayesian evidence synthesis can reconcile seemingly inconsistent results: The case of hotel towel reuse. Psychological Science, 27, 1043-1046.

Schweinsberg, M., Madan, N., Vianello, M., Sommer, S. A., Jordan, J., Tierney, W., Awtrey, E., Zhu, L., Diermeier, D., Heinze, J., Srinivasan, M., Tannenbaum, D., Bivolaru, E., Dana, J., Davis-Stober, C. P., Du Plessis, C. Gronau, Q. F., Hafenbrack, A. C., Liao, E. Y., Ly, A., Marsman, M., Murase, T., Qureshi, I., Schaerer, M., Thornley, N., Tworek, C. M., Wagenmakers, E-J., Wong, L., Anderson, T., Bauman, C. W., Bedwell, W. L., Brescoll, V., Canavan, A., Chandler, J. J., Cheries, E., Cheryan, S., Cheung, F., Cimpian, A., Clark, M., Cordon, D., Cushman, F., Ditto, P. H., Donahue, T., Frick, S. E., Gamez-Djokic, M., Hofstein Grady, R., Graham, J., Gu, J., Hahn, A., Hanson, B. E., Hartwich, N. J., Hein, K., Inbar, Y., Jiang, L., Kellogg, T., Kennedy, D. M., Legate, N., Luoma, T. P., Maibeucher, H., Meindl, P., Miles, J., Mislin, A., Molden, D. C., Motyl, M., Newman, G., Ngo, H. H., Packham, H., Ramsay, P. S., Ray, J. L., Sackett, A. M., Sellier, A-L., Sokolova, T., Sowden, W., Storage, D., Sun, X., Van Bavel, J. J., Washburn, A. N., Wei, C., Wetter, E., Wilson, C., Darroux, S-C., & Uhlmann, E. L. (2016). The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline. Journal of Experimental Social Psychology, 66, 55-67. Supplemental materials are here.

Marsman, M., Ly, A., & Wagenmakers, E.-J. (2016). Four requirements for an acceptable research program. Basic and Applied Social Psychology, 38, 308-312.

Monden, R., de Vos, S., Morey, R. D., Wagenmakers, E.-J., de Jonge, P., & Roest, A. M. (2016). Toward evidence-based medical statistics: A Bayesian analysis of double-blind placebo-controlled antidepressant trials in the treatment of anxiety disordersInternational Journal of Methods in Psychiatric Research, 25, 299-308.

Boekel, W., Forstmann, B. U., & Wagenmakers, E.-J. (2016). Challenges in replicating brain-behavior correlations: Rejoinder to Kanai (2015) and Muhlert and Ridgway (2015)Cortex, 74, 348-352.

van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (2016). The impact of MRI scanner environment on perceptual decision making. Behavior Research Methods, 48, 184-200.

Wagenmakers, E.-J., & Busato, V. (2016). De verleidingen van foponderzoek [the temptations of foolish research]. Skepter, 29, 24-28.

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, e81-e95.

Wagenmakers, E.-J., Beek, T., Dijkhoff, L., Gronau, Q. F., Acosta, A., Adams, R. B., Jr., Albohn, D. N., Allard, E. S., Benning, S. D., Blouin-Hudon, E.-M., Bulnes, L. C., Caldwell, T. L., Calin-Jageman, R. J., Capaldi, C. A., Carfagno, N. S., Chasten, K. T., Cleeremans, A., Connell, L., DeCicco, J. M., Dijkstra, K., Fischer, A. H., Foroni, F., Hess, U., Holmes, K. J., Jones, J. L. H., Klein, O., Koch, C., Korb, S., Lewinski, P., Liao, J. D., Lund, S., Lupiáñez, J., Lynott, D., Nance, C. N., Oosterwijk, S., Özdoǧru, A. A., Pacheco-Unguetti, A. P., Pearson, B., Powis, C., Riding, S., Roberts, T.-A., Rumiati, R. I., Senden, M., Shea-Shumsky, N. B., Sobocko, K., Soto, J. A., Steiner, T. G., Talarico, J. M., van Allen, Z. M., Vandekerckhove, M., Wainwright, B., Wayand, J. F., Zeelenberg, R., Zetzer, E. E., Zwaan, R. A. (2016). Registered Replication Report: Strack, Martin, & Stepper (1988). Perspectives on Psychological Science, 11, 917-928.

Tierney, W., Schweinsberg, M., Jordan, J., Kennedy, D., Qureshi, I., Sommer, S. A., Thornley, N., Madan, N., Vianello, M., Awtrey, E., Zhu, L., Diermeier, D., Heinze, J., Srinivasan, M., Tannenbaum, D., Bivolaru, E., Dana, J., Davis-Stober, C., du Plessis, C., Gronau, Q. F., Hafenbrack, A., Liao, E., Ly, A., Marsman, M., Murase, T., Schaerer, M., Tworek, C., Wagenmakers, E.-J., Wong, L., Anderson, T., Bauman, C., Bedwell, W., Brescoll, V., Canavan, A., Chandler, J., Cheries, E., Cheryan, S., Cheung, F., Cimpian, A., Clark, M., Cordon, D., Cushman, F., Ditto, P., Amell, A., Frick, S., Gamez-Djokic, M., Grady, R., Graham, J., Gu, J., Hahn, A., Hanson, B., Hartwich, N., Hein, K., Inbar, Y., Jiang, L., Kellogg, T., Legate, N., Luoma, T., Maibeucher, H., Meindl, P., Miles, J., Mislin, A., Molden, D., Motyl, M., Newman, G., Ngo, H. H., Packham, H., Ramsay, P. S., Ray, J., Sackett, A., Sellier, A.-L.,Sokolova, T., Sowden, W., Storage, D., Sun, X., van Bavel, J., Washburn, A., Wei, C., Wetter, E., Wilson, C., Darroux, S.-C., & Uhlmann, E. (2016). Data from a pre-publication independent replication initiative examining ten moral judgement effects. Scientific Data, 3, 160082.

Steingroever, H., Wetzels, R., & Wagenmakers, E.-J. (2016). Bayes factors for reinforcement-learning models of the Iowa Gambling Task. Decision, 3, 115-131. Supplementary materials are here.

Rouder, J. N., Morey, R. D., Verhagen, A. J., Province, J. M., & Wagenmakers, E.-J. (2016). Is there a free lunch in inference? Topics in Cognitive Science, 8, 520-547.

Mulder, J., & Wagenmakers, E.-J. (2016). Editors' introduction to the special issue "Bayes factors for testing hypotheses in psychological research: Practical relevance and new developments"Journal of Mathematical Psychology, 72, 1-5.

Ly, A., Verhagen, A. J., & Wagenmakers, E.-J. (2016). Harold Jeffreys’s default Bayes factor hypothesis tests: Explanation, extension, and application in psychology. Journal of Mathematical Psychology, 72, 19-32.

Ly, A., Verhagen, A. J., & Wagenmakers, E.-J. (2016). An evaluation of alternative methods for testing hypotheses, from the perspective of Harold Jeffreys. Journal of Mathematical Psychology, 72, 43-55.

Wetzels, R., Tutschkow, D., Dolan, C., van der Sluis, S., Dutilh, G., & Wagenmakers, E.-J. (2016). A Bayesian test for the hot hand phenomenonJournal of Mathematical Psychology, 72, 200-209.

Vandekerckhove, J. & Wagenmakers, E.-J. (2016). C. S. Peirce on the crisis of confidence and the "no more bets" heuristic. The Winnower, 3:e146611.14253.

Wagenmakers, E.-J. (2016). Telescopic book review of "Beyond significance testing: Statistics reform in the behavioral sciences" by Rex Kline. Journal of the American Statistical Association, 70, 221.

Heck, D. W., & Wagenmakers, E.-J. (2016). Adjusted priors for Bayes factors involving reparameterized order constraints. Journal of Mathematical Psychology, 73, 110-116. Supplementary materials are here.

Wagenmakers, E.-J., Morey, R. D., & Lee, M. D. (2016). Bayesian benefits for the pragmatic researcherCurrent Directions in Psychological Science, 25, 169-176.

Wagenmakers, E.-J., & Dutilh, G. (2016). Preregistration: Why, what, where? Column for the Psychology Research Institute of the University of Amsterdam, section on Scientific Integrity.

Wagenmakers, E.-J., Verhagen, A. J., & Ly, A. (2016). How to quantify the evidence for the absence of a correlation. Behavior Research Methods, 48, 413-426.

Boehm, U., Hawkins, G. E., Brown, S. D., van Rijn, H., & Wagenmakers, E.-J. (2016). Of monkeys and men: Impatience in perceptual decision-making. Psychonomic Bulletin & Review, 23, 738-749.

Rouder, J. N., Morey, R. D., & Wagenmakers, E.-J. (2016). The interplay between subjectivity, statistical practice, and psychological science. Collabra, 2, 1-12.

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. Psychonomic Bulletin & Review, 23, 640-647.

Morey, R. D., Hoekstra, R., Rouder, J. N., Lee, M. D., & Wagenmakers, E.-J. (2016). The fallacy of placing confidence in confidence intervals. Psychonomic Bulletin & Review, 23, 103-123.

Morey, R. D., Hoekstra, R., Rouder, J. N., & Wagenmakers, E.-J. (2016). Continued misinterpretation of confidence intervals: Response to Miller and Ulrich. Psychonomic Bulletin & Review, 23, 131-140.

Forstmann, B. U., Ratcliff, R., & Wagenmakers, E.-J. (2016). Sequential sampling models in cognitive neuroscience: Advantages, applications, and extensions. Annual Review of Psychology, 67, 641-666.

Morey, R. D., Chambers, C. D., Etchells, P. J., Harris, C. R., Hoekstra, R., Lakens, D., Lewandowsky, S., Morey, C. C., Newman, D. P., Schönbrodt, F., Vanpaemel, W., Wagenmakers, E.-J., & Zwaan, R. A. (2016). The Peer Reviewers' Openness Initiative: Incentivising open research practices through peer reviewRoyal Society Open Science, 3: 150547.


2015

Open Science Collaboration (2015). Estimating the reproducibility of psychological science. Science, 349, aac4716.

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.

Hawkins, G., Wagenmakers, E.-J., Ratcliff, R., & Brown, S. D. (2015). Discriminating evidence accumulation from urgency signals in speeded decision making. The Journal of Neurophysiology, 114, 40-47.

Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E.-J. (in press). Bayesian analysis. In R. L. Cautin, & S. O. Lilienfeld (Eds.), The Encyclopedia of Clinical Psychology, pp. 274-283. Wiley-Blackwell.

Steingroever, H., Wetzels, R., & Wagenmakers, E.-J. (2015). w=.2, a=.8, c=.6: So what? On the meaning of parameter estimates from reinforcement-learning modelsDecision, 2, 228-235.

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, 1424-1444. The supplementary materials are here.

Wagenmakers, E.-J., Verhagen, A. J., Ly, A., Bakker, M., Lee, M. D., Matzke, D., Rouder, J. N., & Morey, R. D. (2015). A power fallacy. Behavior Research Methods, 47, 913-917.

Wagenmakers, E.-J. (2015). A quartet of interactions. Cortex, 73, 334-335.

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, 307-308.

Wagenmakers, E.-J. (2015). Statistiek van het gezonde verstand [Common sense statistics]. Skepter, 28, 23-25.

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 primingFrontiers in Psychology, 6:1365.

Wagenmakers, E.-J., Wetzels, R., Borsboom, D., Kievit, R., & van der Maas, H. L. J. (2015). A skeptical eye on psi. In May, E., & Marwaha, S. (Eds.), Extrasensory Perception: Support, Skepticism, and Science, pp. pp. 153-176. ABC-CLIO. 

Forstmann, B. U., & Wagenmakers, E.-J. (Eds., 2015). An introduction to model-based cognitive neuroscience. Springer.

Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., Contestabile, M., Dafoe, A., Eich, E., Freese, J., Glennerster, R., Goroff, D., Green, D. P., Hesse, B., Humphreys, M., Ishiyama, J., Karlan, D., Kraut, A., Lupia, A., Mabry, P., Madon, T. A., Malhotra, N., Mayo-Wilson, E., McNutt, M., Miguel, E., Levy Paluck, E., Simonsohn, U., Soderberg, C., Spellman, B. A., Turitto, J., VandenBos, G., Vazire, S., Wagenmakers, E. J., Wilson, R., & Yarkoni, T. (2015). Promoting an open research culture. Science, 348, 1422-1425. Details are on the Open Science Framework.

Heck, D.,  Wagenmakers, E.-J., & Morey, R. D. (2015). Testing order constraints: Qualitative differences between Bayes factors and Normalized Maximum Likelihood. Statistics and Probability Letters, 105, 157-162. Supplements are here.

Steingroever, H., Fridberg, D. J., Horstmann, A., Kjome, K. L., Kumari, V., Lane, S. D., Maia, T. V., McClelland, J. L., Pachur, T., Premkumar, P., Stout, J. C., Wetzels, R., Wood, S., Worthy, D. A., & Wagenmakers, E.-J. (2015). Data from 617 healthy participants performing the Iowa gambling task: A "many labs" collaborationJournal of Open Psychology Data, 3:e5.

Boekel, W., Wagenmakers, E.-J., Belay, L., Verhagen, A. J., Brown, S. D., & Forstmann, B. U. (2015). A purely confirmatory replication study of structural brain-behavior correlationsCortex, 66, 115-133. Supplemental figures are here.

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. Springer: New York.

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. Springer: New York.

Wagenmakers, E.-J., Beek, T., Rotteveel, M., Gierholz, A., Matzke, D., Steingroever, H., Ly, A., Verhagen, A. J., Selker, R., Sasiadek, A., Gronau, Q. F., Love, J., & Pinto, Y. (2015). Turning the hands of time again: A purely confirmatory replication study and a Bayesian analysisFrontiers in Psychology: Cognition, 6:494.

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, 205-235.

Rotteveel, M., Gierholz, A., Koch, G., van Aalst, C., Pinto, Y., Matzke, D., Steingroever, H., Verhagen, J., Beek, T. F., Selker, R., Sasiadek, A., & Wagenmakers, E.-J. (2015). On the automatic link between affect and tendencies to approach and avoid: Chen and Bargh (1999) revisited. Frontiers in Psychology: Cognition, 6:335

Wagenmakers, E.-J. (2015). A perfect storm: The record of a revolutionIn-Mind Magazine.

Hawkins, G. E., Forstmann, B. U., Wagenmakers, E.-J., Ratcliff, R., & Brown, S. D. (2015). Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making. Journal of Neuroscience, 35, 2476-2484.

Lee, M. D., Lodewyckx, T., & Wagenmakers, E.-J. (2015). Three Bayesian analyses of memory deficits in patients with dissociative identity disorder. In J. R. Raaijmakers, A. Criss, R. Goldstone, R. Nosofsky, & M. Steyvers (Eds.), Cognitive Modeling in Perception and Memory: A Festschrift for Richard M. Shiffrin, pp. 189-200. Psychology Press. The code for the Bayes factor analysis is here.

Vandekerckhove, J., Matzke, D., & Wagenmakers, E.-J. (2015). Model comparison and the principle of parsimony. In J. Busemeyer, J. Townsend, Z. J. Wang, & A. Eidels (Eds.), Oxford Handbook of Computational and Mathematical Psychology, pp. 300-319. Oxford: Oxford University Press. The code for computing MDL and Bayes factors is available here.

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, 85-97.

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, e1-e15.

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, 1-17. Supplemental information is here, here, and here.

Andraszewicz, S., Scheibehenne, B., Rieskamp, J., Grasman, R. P. P. P., Verhagen, A. J., & Wagenmakers, E.-J. (2015). An introduction to Bayesian hypothesis testing for management research. Journal of Management, 41, 521-543.

2014

de Hollander, G., Wagenmakers, E.-J., Waldorp, L., & Forstmann, B. (2014). An antidote to the imager's fallacy, or how to identify brain areas that are in limbo. PLOS ONE, 9: e115700.

Zhang, S., Lee, M. D., Vandekerckhove, J., Maris, G., & Wagenmakers, E.-J. (2014). Time-varying boundaries for diffusion models of decision making and response timeFrontiers in Psychology: Quantitative Psychology and Measurement, 5:1364.

Heathcote, A., Wagenmakers, E.-J., & Brown, S. D. (2014). The falsifiability of actual decision-making modelsPsychological Review, 121, 676-678.

Hoekstra, R., Morey, R. D., Rouder, J. N., & Wagenmakers, E.-J. (2014). Robust misinterpretation of confidence intervalsPsychonomic Bulletin & Review, 21, 1157-1164.

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 tasksJournal of Experimental Psychology: General, 143, 1794-1805.

Munafò, M., Noble, S., Browne, W., Brunner, D., Button, K., Ferreira, J., Holmans, P., Langbehn, D., Lewis, G., Lindquist, M., Tilling, K., Wagenmakers, E.-J., & Blumenstein, R. (2014). Scientific rigor and the art of motorcycle maintenance. Nature Biotechnology, 32, 871-873.

Steingroever, H., Wetzels, R., & Wagenmakers, E.-J. (2014). Absolute performance of reinforcement-learning models for the Iowa Gambling Task. Decision, 1, 161-183.

Winkel, J., Keuken, M. C., van Maanen, L., Wagenmakers, E.-J., & Forstmann, B. U. (2014). Early evidence affects later decisions: Why evidence accumulation is required to explain response time data. Psychonomic Bulletin & Review, 21, 777-784.

Morey, R. D., & Wagenmakers, E.-J. (2014). Simple relation between Bayesian order-restricted and point-null hypothesis testsStatistics and Probability Letters, 92, 121-124.

Verhagen, A. J., & Wagenmakers, E.-J. (2014). Bayesian tests to quantify the result of a replication attempt. Journal of Experimental Psychology: General, 143, 1457-1475.

Morey, R. D., Rouder, J. N., Verhagen, J., & Wagenmakers, E.-J. (2014). Why hypothesis tests are essential for psychological science: A comment on CummingPsychological Science, 25, 1289-1290.

De Groot, A. D. (1956/2014). The meaning of “significance” for different types of research. Translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L. J. van der Maas. Acta Psychologica, 148, 188-194.

Steingroever, H., & Wagenmakers, E.-J. (2014). Performance and awareness in the Iowa Gambling Task. Comment on "Unconscious influences on decision making: A critical review"Behavioral and Brain Sciences, 37, 41-42.

Logan, G. D., Van Zandt, T., Verbruggen, F., & Wagenmakers, E.-J. (2014). On the ability to inhibit thought and action: General and special theories of an act of control. Psychological Review, 121, 66-95.

Wagenmakers, E.-J., & Forstmann, B. U. (2014). Rewarding high-power replication research. Cortex, 51, 105-106.


2013

Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course. Cambridge University Press.

Plöderl, M., Wagenmakers, E.-J., Tremblay, P., Ramsay, R., Kralovec, K., Fartacek, C., & Fartacek, R. (2013). Sexual orientation and suicide risk: A critical review. Archives of Sexual Behavior, 42, 715-727.

Steingroever, H., Wetzels, R., & Wagenmakers, E.-J. (2013). Validating the PVL-Delta model for the Iowa gambling taskFrontiers in Decision Neuroscience, 4:898.

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 DistributionsFrontiers in Quantitative Psychology and Measurement, 4:918.

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, 1047-1073.

Mulder, M. J., Keuken, M. C., van Maanen, L., Boekel, W., Forstmann, B. U., & Wagenmakers, E.-J. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch taskAttention, Perception, & Psychophysics, 75, 1048-1058.

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.

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.

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, 120-121. Open peer commentary on Asendorp et al., "Recommendations for increasing replicability in psychology". 

Steingroever, H., Wetzels, R., Horstmann, A., Neumann, J., & Wagenmakers, E.-J. (2013). Performance of healthy participants on the Iowa Gambling Task. Psychological Assessment, 25, 180-193.

Wagenmakers, E.-J. (2013). SjoemelwetenschapDe Psycholoog, 48, 34-35. Invited comment on ``Psychologie als wedstrijd", by Wim Hofstee.

Dutilh, G., Forstmann, B. U., Vandekerckhove, J., & Wagenmakers, E.-J. (2013). A diffusion model account of age differences in posterror slowing. Psychology and Aging, 28, 64-76.

Scheibehenne, B., Rieskamp, J., & Wagenmakers, E.-J. (2013). Testing adaptive toolbox models: A Bayesian hierarchical approach. Psychological Review, 120, 39-64.

Borsboom, D., & Wagenmakers, E.-J. (2013). Derailed: The rise and fall of Diederik StapelAPS Observer, 26, 31 & 33.


2012

Wetzels, R., & Wagenmakers, E.-J. (2012). A default Bayesian hypothesis test for correlations and partial correlations. Psychonomic Bulletin & Review, 19, 1057-1064. Improved R code (handling larger values of n) is available here

Pashler, H., & Wagenmakers, E.-J. (2012). Editors' introduction to the special section on replicability in psychological science: A crisis of confidence? Perspectives on Psychological Science, 7, 528-530.

Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E.-J. (2012). A default Bayesian hypothesis test for ANOVA designs. The American Statistician, 66, 104-111.

Wagenmakers, E.-J., Wetzels, R., Borsboom, D., van der Maas, H. L. J. & Kievit, R. A. (2012). An agenda for purely confirmatory research. Perspectives on Psychological Science, 7, 627-633. The online appendix is here. The data are here.

Wagenmakers, E.-J. (2012). A year of horrorsDe Psychonoom, 27, 12-13.

Dyjas, O., Grasman, R. P. P. P., Wetzels, R., van der Maas, H. L. J., & Wagenmakers, E.-J. (2012). What's in a name: A Bayesian hierarchical analysis of the name-letter effect. Frontiers in Quantitative Psychology and Measurement, 3:334.

Hawkins, G., Brown, S. D., Steyvers, M., & Wagenmakers, E.-J. (2012). Decision speed induces context effects in choice. Experimental Psychology, 59, 206-215.

Ortega, A., Wagenmakers, E.-J., Lee, M. D., Markowitsch, H. J., & Piefke, M. (2012). A Bayesian latent group analysis for detecting poor effort in the assessment of malingeringArchives of Clinical Neuropsychology, 27, 453-465.

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, 208-216.

Ho, T., Brown, S., van Maanen, L., Forstmann, B. U., Wagenmakers, E.-J., & Serences, J. (2012). The optimality of sensory processing during the speed-accuracy tradeoffJournal of Neuroscience, 32, 7992-8003.

van Ravenzwaaij, D., Mulder, M., Tuerlinckx, F., & Wagenmakers, E.-J. (2012). Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical testFrontiers in Cognitive Science, 3:132. Addendum: The top-left panel of Figure 7 may suggest that the optimal performance is achieved for vc > 0, in contrast to our claim. However, this is due to a bound on accuracy; when a = .15 instead of .12, it becomes clear that optimal performance is indeed achieved when vc = 0 (see figure here). Data are here.

Hawkins, G. E., Brown, S. D., Steyvers, M., & Wagenmakers, E.-J. (2012) Context effects in multi-alternative decision making: Empirical data and a Bayesian modelCognitive Science, 36, 498-516.

Hawkins, G. E., Brown, S. D., Steyvers, M., & Wagenmakers, E.-J. (2012). An optimal adjustment procedure to minimize experiment time in decisions with multiple alternatives. Psychonomic Bulletin & Review, 19, 339-348.

van Maanen, L., Grasman, R. P. P. P., Forstmann, B. U., Keuken, M. C., Brown, S. D., & Wagenmakers, E.-J. (2012). Similarity and number of alternatives in the random-dot motion paradigm. Attention, Perception, & Psychophysics, 74, 739-753.

Mulder, M., Wagenmakers, E.-J., Ratcliff, R., Boekel, W., & Forstmann, B. (2012). Bias in the brain: A diffusion model analysis of prior probability and potential payoff. Journal of Neuroscience, 32, 2335-2343.

Dutilh, G., Vandekerckhove, J., Forstmann, B. U., Keuleers, E., Brysbaert, M., & Wagenmakers, E.-J. (2012). Testing theories of post-error slowing. Attention, Perception, & Psychophysics, 74, 454-465.

van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E.-J. (2012). A diffusion model decomposition of the effects of alcohol on perceptual decision making. Psychopharmacology, 219, 1017-1025. The data are here.

Huizenga, H., Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E.-J. (2012). Four empirical tests of unconscious thought theoryOrganizational Behavior and Human Decision Processes, 117, 332-340.

Wagenmakers, E.-J., Krypotos, A.-M., Criss, A. H., & Iverson, G. (2012). On the interpretation of removable interactions: A survey of the field 33 years after Loftus. Memory & Cognition, 40, 145-160.

Wagenmakers, E.-J., van der Maas, H. L. J., & Farrell, S. (2012). Abstract concepts require concrete models: Why cognitive scientists have not yet embraced nonlinearly-coupled, dynamical, self-organized critical, synergistic, scale-free, exquisitely context-sensitive, interaction-dominant, multifractal, interdependent brain-body-niche systemsTopiCS, 4, 87-93.

Jepma, M., Wagenmakers, E.-J., & Nieuwenhuis, S. (2012). Temporal expectation and information processing: A model-based analysis. Cognition, 122, 426-441. Model specification, model code, and model output is available from a zip file (23.3 MB).

van Ravenzwaaij, D., van der Maas, H. L. J., &Wagenmakers, E.-J. (2012). Optimal decision making in neural inhibition models. Psychological Review, 119, 201-215.

van Maanen, L., Grasman, R. P. P. P., Forstmann, B. U., & Wagenmakers, E.-J. (2012). Piéron's law and optimal behavior in perceptual decision-making. Frontiers in Decision Neuroscience, 5:143.

2011

Forstmann, B. U., Tittgemeyer, M., Wagenmakers, E.-J., Derrfuss, J., Imperati, D. & Brown, S. (2011). The speed-accuracy tradeoff in the elderly brain: A structural model-based approachJournal of Neuroscience, 31, 17242-17249.

Dutilh, G., Krypotos, A.-M., & Wagenmakers, E.-J. (2011). Task-related vs. stimulus-specific practice: A diffusion model account. Experimental Psychology, 58, 434-442.

van Maanen, L.,  Brown, S., Eichele, T., Wagenmakers, E.-J., Ho, T., Serences, J., & Forstmann, B. U. (2011). Neural correlates of trial-to-trial fluctuations in response caution. Journal of Neuroscience, 31, 17488-17495.

Lodewyckx, T., Kim, W., Lee, M. D., Tuerlinckx, F., Kuppens, P., & Wagenmakers, E.-J. (2011). A tutorial on Bayes factor estimation with the product space method. Journal of Mathematical Psychology, 55, 331-347.

Nieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E.-J. (2011). Erroneous analyses of interactions in neuroscience: A problem of significanceNature Neuroscience, 14, 1105-1107.

van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E.-J. (2011). Does the name-race Implicit Association Test measure racial prejudice? Experimental Psychology, 58, 271-277.

Forstmann, B. U., Wagenmakers, E.-J., Eichele, T., Brown, S., & Serences, J. T. (2011). Reciprocal relations between cognitive neuroscience and formal cognitive models: Opposites attract? Trends in Cognitive Sciences, 15, 272-279.

Wetzels, R., Matzke, D., Lee, M. D., Rouder, J. N., Iverson, G. J., & Wagenmakers, E.-J. (2011). Statistical evidence in experimental psychology: An empirical comparison using 855 t tests. Perspectives on Psychological Science, 6, 291-298. The data are here.

Stringer, S., Borsboom, D., & Wagenmakers, E.-J. (2011). Bayesian inference for the information gain model. Behavior Research Methods, 43, 297-309.

van Ravenzwaaij, D., Brown, S., & Wagenmakers, E.-J. (2011). An integrated perspective on the relation between response speed and intelligence. Cognition, 119, 381-393.

Wagenmakers, E.-J., Wetzels, R., Borsboom, D., & van der Maas, H. L. J. (2011). Why psychologists must change the way they analyze their data: The case of psi: Comment on Bem (2011). Journal of Personality and Social Psychology, 100, 426-432 (official journal version is here). A robustness analysis is provided here. Featured in the New York Times, der Spiegel, Science (2011, vol. 331, pp. 272-273), and many other journals and media throughout the world. Accompanying manuscript: Wagenmakers, E.-J., Wetzels, R., Borsboom, D., Kievit, R. & van der Maas, H. L. J. Yes, psychologists must change the way they analyze their data: Clarifications for Bem, Utts, & Johnson (2011). NB. This was a response to a previous draft of Bem, Utts, and Johnson. In the meantime, JPSP has accepted their rebuttal. The accepted rebuttal sidesteps the issue of exploration, uses two-tailed tests, and focuses exclusively on the plausibility of the prior distribution for effect size (an issue we had already explored through a robustness analysis). We might post a response to the accepted rebuttal at some point, but don't hold your breath.

Dutilh, G., Wagenmakers, E.-J., Visser, I., & van der Maas, H. L. J. (2011). A phase transition model for the speed-accuracy trade-off in response time experiments. Cognitive Science, 35, 211-250.

Borsboom, D., Wagenmakers, E.-J., & Romeijn, J.-W. (2011). Mechanistic curiosity will not kill the Bayesian cat. Comment on "Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition". Behavioral and Brain Sciences, 34, 192-193

Donkin, C., Brown, S., Heathcote, A., & Wagenmakers, E.-J. (2011). Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes? Psychonomic Bulletin & Review, 18, 61-69.

Nilsson, H., Rieskamp, J., & Wagenmakers, E.-J. (2011). Hierarchical Bayesian parameter estimation for cumulative prospect theory. Journal of Mathematical Psychology, 55, 84-93. Code used to fit cumulative prospect theory is available here. Important: an erratum is available here.

van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E.-J. (2011). Cognitive model decomposition of the BART: Assessment and applicationJournal of Mathematical Psychology, 55, 94-105.


2010

Forstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S., Wagenmakers, E.-J., Bogacz, R., & Turner, R. (2010). Cortico-striatal connections predict control over speed and accuracy in perceptual decision makingProceedings of the National Academy of Sciences, 107, 15916-15920. Featured under "Editors' Choice" in Science, 2010, vol. 329, p. 1443.

Wetzels, R., & Wagenmakers, E.-J. (2010). Exemplary introduction to Bayesian statistical inference. Book review of "Bayesian modeling using WinBUGS" (Wiley, 1st ed., 2009). Journal of Mathematical Psychology, 54, 466-469.

Wetzels, R., Lee, M. D., & Wagenmakers, E.-J. (2010). Bayesian inference using WBDev: A tutorial for social scientistsBehavior Research Methods, 42, 884-897. Ruud's WBDev page is here.

Heathcote, A., Brown, S., WagenmakersE.-J., & Eidels, A. (2010). Distribution-free tests of stochastic dominance for small samples. Journal of Mathematical Psychology, 54, 454-463.

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 pharmacological studyFrontiers in Human Neuroscience, 4:170.

Iverson, G., Wagenmakers, E.-J., & Lee, M. D. (2010). A model averaging approach to replication: The case of prep. Psychological Methods, 15, 172-181.

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, 40:4.

Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E.-J. (2010). An encompassing prior generalization of the Savage-Dickey density ratio. Computational Statistics & Data Analysis, 54, 2094-2102.

Iverson, G., Lee, M. D., & Wagenmakers, E.-J. (2010). The random-effects prep continues to mispredict the probability of replication. Psychonomic Bulletin & Review, 17, 270-272.

Wetzels, R., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2010). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gambling task. Journal of Mathematical Psychology, 54, 14-27.

Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., and Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage-Dickey method. Cognitive Psychology, 60, 158-189. Data, R code, and WinBUGS code are available here.

Bogacz, R., Wagenmakers, E.-J., Forstmann, B. U., & Nieuwenhuis, S. (2010). The neural basis of the speed-accuracy tradeoff. Trends in Neurosciences, 33, 10-16.


2009

Brown, S., Steyvers,  M., & Wagenmakers, E.-J. (2009). Observing evidence accumulation during multi-alternative decisionsJournal of Mathematical Psychology, 53, 453-462.

Grasman, R. P. P. P., van der Maas, H. L. J., & Wagenmakers, E.-J. (2009). Fitting the cusp catastrophe in R: A cusp-package primerJournal of Statistical Software, 32, 1-27.

Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E.-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16, 1026-1036. See also http://www.gillesdutilh.com/.

Matzke, D. & Wagenmakers, E.-J. (2009). Psychological interpretation of ex–Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review, 16, 798-817. Data, R code, and WinBUGS code is available here.

Iverson, G., Lee, M. D., Zhang, S., & Wagenmakers, E.-J. (2009). prep: An agony in five fits. Journal of Mathematical Psychology, 53, 195-202.

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, 752-760.

Torre, K., & Wagenmakers, E.-J. (2009). Theories and models for 1/fβ noise in human movement science. Human Movement Science, 28, 297-318.

Wagenmakers, E.-J. (2009). Teaching graduate students how to write clearlyAPS Observer, 22.

Wagenmakers, E.-J. (2009). Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracyEuropean Journal of Cognitive Psychology, 21, 641-671.

Steyvers, M., Lee, M. D., & Wagenmakers, E.-J. (2009). A Bayesian analysis of human decision-making on bandit problemsJournal of Mathematical Psychology, 53, 168-179.

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, 55-68. This is the link to the EZ2 software in Excel, JavaScript, and R; this is the link to the EZ2 software in Python. 

Iverson, G., Lee, M. D., & Wagenmakers, E.-J. (2009). prep misestimates the probability of replication. Psychonomic Bulletin & Review, 16, 424-429.

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, 847-864. The Matlab DMAT code for the individual level analysis can be found here, and the code for the group level  analysis can be found here.

Wagenmakers, E.-J. (2009). How do individuals reason in the Wason card selection task? Comment on "Bayesian rationality: The probabilistic approach to human reasoning" (Oxford University Press, 2007). Behavioral and Brain Sciences, 32, 104.


2008

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, 105, 17538-17542. Supporting information.

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.

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.

Wagenmakers, E.-J., van der Maas, H. L. J., Dolan, C., & Grasman, R. P. P. P. (2008). EZ does it! Extensions of the EZ-diffusion model. Psychonomic Bulletin & Review, 15, 1229-1235. The Robust EZ software can be found here, and Robust EZ software adjusted for batch processing can be found here

Wagenmakers, E.-J., Lee, M. D., Lodewyckx, T., & Iverson, G. (2008). Bayesian versus frequentist inference. In H. Hoijtink, I. Klugkist, and P. A. Boelen (Eds.), Bayesian Evaluation of Informative Hypotheses, pp. 181-207. Springer: New York.

Wagenmakers, E.-J., & van der Maas, H. L. J. (2008). Book review of "Clocking the mind: Mental chronometry and individual differences" (Elsevier, 2006). Intelligence, 36, 493-494.

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, 140-159. The data can be found here.

Wagenmakers, E.-J. (2008). Guidelines for tutorial articles in Journal of Mathematical Psychology. Published on the JMP website.

2007

Wagenmakers, E.-J. (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14, 779-804. The online appendix "Stopping rules and their irrelevance for Bayesian inference" is avalable here, and the online appendix "That wretched prior" is available here. A corrigendum that points out two mistakes and shows how to easily calculate BIC is available here.

van Harreveld, F., Wagenmakers, E.-J., & van der Maas, H. L. J. (2007). The effects of time pressure on chess skill: An investigation into fast and slow processes underlying expert performance. Psychological Research, 71, 591-597.

Wagenmakers, E.-J., & Brown, S. (2007). On the linear relation between the mean and the standard deviation of a response time distribution. Psychological Review, 114, 830-841.

Wagenmakers, E.-J., van der Maas, H. L. J., & Grasman, R. P. P. P. (2007). An EZ-diffusion model for response time and accuracy. Psychonomic Bulletin & Review, 14, 3-22. The EZ-diffusion model has been implemented in JavaScript (click here), R (click here), and Excel (click here). A Matlab implementation is here (courtesy of Alex Petrov, http://alexpetrov.com/). The detailed review of the diffusion model parameters (i.e., which studies, which tables, which values) is available here.


2006

Farrell, S., Wagenmakers, E.-J., & Ratcliff, R. (2006). 1/f noise in human cognition: Is it ubiquitous, and what does it mean? Psychonomic Bulletin & Review, 13, 737-741.

Wagenmakers, E.-J., & Raaijmakers, J. G. W. (2006). Long-term priming of neighbors biases the word recognition process: Evidence from a lexical decision task. Canadian Journal of Experimental Psychology, 60, 275-284. Stimulus materials for Experiment 1 are here, and stimulus materials for Experiment 2 are here.

Grasman, R. P. P. P., & Wagenmakers, E.-J. (2006). Rescue the Gardiner book! Book review of "Handbook of Stochastic Methods: for Physics, Chemistry, and the Natural Sciences" (Springer-Verlag, 3rd ed., 2004). Journal of Mathematical Psychology, 50, 431-435.

Wagenmakers, E.-J., & Grünwald, P. (2006). A Bayesian perspective on hypothesis testing. Psychological Science, 17, 641-642.

Wagenmakers, E.-J., Grünwald, P., & Steyvers, M. (2006). Accumulative prediction error and the selection of time series models. Journal of Mathematical Psychology, 50, 149-166. The one second time estimation data may be found here.

Zeelenberg, R., Wagenmakers, E.-J., & Rotteveel, M. (2006). The impact of emotion on perception: Bias or enhanced processing? Psychological Science, 17, 287-291.


2005

Wagenmakers, E.-J., & Nieuwenhuis, S. (2005). Damasio's error: De somatic marker hypothese onder vuur. Neuropraxis, 9, 165-169. The title translates as: "Damasio's error: The somatic marker hypothesis under fire". This article is in Dutch, but the references may still be useful for someone interested in a recent critique of Damasio's somatic marker hypothesis and the Iowa gambling task. Note. Just after this article went to press, we discovered a well-written in press manuscript that discusses exactly the same issues. The reference is Dunn, B. D., Dalgleish, T., Lawrence, A. D. (2006). The somatic marker hypothesis: A critical evaluation. Neuroscience and Biobehavioral Reviews, 30, 239-271. (available online at http://www.hss.caltech.edu/~steve/somatic.pdf). A more philosophical perspective on the somatic marker hypothesis is provided by McGinn: "I have two things to say about this theory: it is unoriginal, and it is false." (a pdf of his New York Times article can be found here).

Wagenmakers, E.-J., Molenaar, P. C. M., Grasman, R. P. P. P., Hartelman, P. A. I., & van der Maas, H. L. J. (2005). Transformation invariant stochastic catastrophe theory. Physica D, 211, 263-276. An R-program that accompanies this paper may be found here, and the help file may be found here.

Lee, M. D., & Wagenmakers, E.-J. (2005). Bayesian statistical inference in psychology: Comment on Trafimow (2003). Psychological Review, 112, 662-668.

Wagenmakers, E.-J., Grasman, R., & Molenaar, P. C. M. (2005). On the relation between the mean and the variance of a diffusion model response time distribution. Journal of Mathematical Psychology, 49, 195-204. An R-program that accompanies this paper may be found here, and the help file may be found here. A Maple file that gives the derivations can be found here.

van der Maas, H. L. J., & Wagenmakers, E.-J. (2005). A psychometric analysis of chess expertise. The American Journal of Psychology, 118, 29-60. See http://hvandermaas.socsci.uva.nl/Homepage_Han_van_der_Maas/Chess_Psychology.html for details.

Wagenmakers, E.-J., Farrell, S., & Ratcliff, R. (2005). Human cognition and a pile of sand: A discussion on serial correlations and self-organized criticality. Journal of Experimental Psychology: General, 134, 108-116.

Pecher, D., Zeelenberg, R., & Wagenmakers, E.-J. (2005). Enemies and friends in the neighborhood: Orthographic similarity effects in semantic categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 121-128.

Wagenmakers, E.-J., van der Maas, H. L. J., & Molenaar, P. C. M. (2005). Catastrophe theory. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science, Vol. 1, pp. 234–239. Chichester: Wiley.


2004

Wagenmakers, E.-J., Farrell, S., & Ratcliff, R. (2004). Estimation and interpretation of 1/fα noise in human cognition. Psychonomic Bulletin & Review, 11, 579–615.

Wagenmakers, E.-J., Zeelenberg, R., Steyvers, M., Shiffrin, R. M., & Raaijmakers, J. G. W. (2004). Nonword repetition in lexical decision: Support for two opposing processes. The Quarterly Journal of Experimental Psychology, 57A, 1191–1210.

Wagenmakers, E.-J., & Farrell, S. (2004). AIC model selection using Akaike weights. Psychonomic Bulletin & Review, 11, 192-196.

Wagenmakers, E.-J., Ratcliff, R., Gomez, P., & Iverson, G. J. (2004). Assessing model mimicry using the parametric bootstrap. Journal of Mathematical Psychology, 48, 28-50.

Wagenmakers, E.-J., Steyvers, M., Raaijmakers, J. G. W., Shiffrin, R. M., van Rijn, H., & Zeelenberg, R. (2004). A model for evidence accumulation in the lexical decision task. Cognitive Psychology, 48, 332-367. An Excel file containing the stimulus materials for both Experiment 1 and 2 can be found here.

Wagenmakers, E.-J., Farrell, S., & Ratcliff, R. (2004). Naive nonparametric bootstrap model weights are biased. Biometrics, 60, 281-283. 

Zeelenberg, R., Wagenmakers, E.-J., & Shiffrin, R. M. (2004). Nonword repetition priming in lexical decision reverses as a function of study task and speed stress. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30, 270-277.


2003 and earlier

Steyvers, M., Tenenbaum, J. B., Wagenmakers, E.-J., & Blum, B. (2003). Inferring causal networks from observations and interventions. Cognitive Science, 27, 453-489.

Wagenmakers, E.-J. (2003). How many parameters does it take to fit an elephant? Book review of "Model selection and multimodel inference: A practical information-theoretic approach" (Springer-Verlag, 2nd ed., 2002). Journal of Mathematical Psychology, 47, 580-586.

Zeelenberg, R., Wagenmakers, E.-J., & Raaijmakers, J. G. W. (2002). Priming in implicit memory tasks: Prior study causes enhanced discriminability, not only bias. Journal of Experimental Psychology: General, 131, 38-47.

Wagenmakers, E.-J. (2001). Book review of "The Oxford handbook of memory", edited by E. Tulving and F. Craik (Oxford University Press 2000), Acta Psychologica, 106, 329-331.

Steyvers, M., Wagenmakers, E.-J., Shiffrin, R. M., Zeelenberg, R., & Raaijmakers, J. G. W. (2001). A Bayesian model for the time-course of lexical processing. In E. M. Altmann and A. Cleeremans (Eds.), Proceedings of the 2001 Fourth International Conference on Cognitive Modeling (pp. 205-209). Mahwah, NJ: Erlbaum.

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