Publications

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Submitted or under revision

Gronau, Q. F., & Wagenmakers, E.-J. (2018). Limitations of Bayesian leave-one-out cross-validation for model selection. Manuscript submitted for publication.

Selker, R. van den Bergh, D., Criss, A., & Wagenmakers, E.-J. (2017). Parsimonious estimation of signal detection models from confidence ratings. Manuscript submitted for publication.

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2017). Bayesian latent-normal inference for the rank sum test, the signed rank test, and Spearman's ρ. Manuscript submitted for publication.

Ly, A., Etz, A., Marsman, M., & Wagenmakers, E.-J. (2017). Replication Bayes factors from evidence updating. Manuscript submitted for publication.

Gronau, Q. F., Singmann, H., & Wagenmakers, E.-J. (2017). bridgesampling: An R package for estimating normalizing constants. Manuscript submitted for publication.

Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2018). A tutorial on Bayes factor design analysis with informed priors. Manuscript submitted for publication.

Gronau, Q. F., Wagenmakers, E.-J., Heck, D. W., & Matzke, D. (2017). A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling. Manuscript submitted for publication.

Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2017). Informed Bayesian t-tests. Manuscripts submitted for publication.

Heck, D. W., Overstall, A. M., Gronau, Q. F., & Wagenmakers, E.-J. (2017). Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Manuscript submitted for publication.

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E.-J. (2017). Bayesian estimation of Kendall's tau using a latent normal approach. Manuscript submitted for publication.

Steingroever, H., Wabersich, D., & Wagenmakers, E.-J. (2016). Modeling across-trial variability in the Wald drift rate parameter. Manuscript submitted for publication.

Wagenmakers, E.-J., Lee, M. D., Rouder, J. N., & Morey, R. D. (2014). Another statistical paradox. Manuscript submitted for publication.

In press

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

Monden, R., Roest, A. M., van Ravenzwaaij, D., Wagenmakers, E.-J., Morey, R., Wardenaar, K. J., & de Jonge, P. (in press). 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.

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

Hoekstra, R., Monden, R., van Ravenzwaaij, D., & Wagenmakers, E.-J. (in press). 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.

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

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

Ernst, A. F., Hoekstra, R., Wagenmakers, E.-J., Gelman, A., van Ravenzwaaij, D. (in press). Do researchers anchor their beliefs on the outcome of an initial study? Testing the time-reversal heuristic. Experimental Psychology.

Beek, T., Matzke, D., Pinto, Y., Rotteveel, M., Gierholz, A., Selker, R., Sasiadek, A., Steingroever, H., Jostmann, N., & Wagenmakers, E.-J. (in press). 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.

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. (in press). Many analysts, one dataset: Making transparent how variations in analytical choices affect results. Advances in Methods and Practices in Psychological Science.

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

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

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

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

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

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. (in press). JASP -- graphical statistical software for common statistical designs. Journal of Statistical Software.


2018

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

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.

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.

Schoenbrodt, 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. NB. I was requested to remove the preprint. If you seek a preprint please send me an Email, or try your luck with Google. 

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).

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.

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.

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., Wagenmakers, E.-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. 

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.

Wagenmakers, E.-J., Zeelenberg, R., Schooler, L. J., & Raaijmakers, J. G. W. (2000). A criterion-shift model for enhanced discriminability in perceptual identification: A note on the counter model. Psychonomic Bulletin & Review, 7, 718-726.

Wagenmakers, E.-J., Zeelenberg, R., & Raaijmakers, J. G. W. (2000). Testing the counter model for perceptual identification: Effects of repetition priming and word frequency. Psychonomic Bulletin & Review, 7, 662-667.

Wagenmakers, E.-J., Zeelenberg, R., Huber, D., Raaijmakers, J. G. W., Shiffrin, R. M., & Schooler, L. J. (2003). REMI and ROUSE: Quantitative models for long-term and short-term priming in perceptual identification. In J. Bowers and C. Marsolek (Eds.), Rethinking implicit memory, pp. 105-123. Oxford University Press.