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

Faculty of Social and Behavioural Sciences

Programme group Psychological Methods

Photographer: UvA Persvoorlichting

Visiting address

Nieuwe Achtergracht 129
Room number: 0.29

Postal address

Postbus 15906
1001 NK Amsterdam

Contact details

Publications
2022

Bartoš, F., Maier, M., Quintana, D. S., & Wagenmakers, E-J. (2022). Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis. Advances in Methods and Practices in Psychological Science, 5(3). https://doi.org/10.1177/25152459221109259 [details]
Download

Bartoš, F., Maier, M., Wagenmakers, E. J., Doucouliagos, H., & Stanley, T. D. (2022). Robust Bayesian meta-analysis: Model-averaging across complementary publication bias adjustment methods. Research synthesis methods. https://doi.org/10.1002/jrsm.1594

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(8), 1319-1333. https://doi.org/10.1002/sim.9278

Forscher, P. S., Wagenmakers, E. J., Coles, N. A., Silan, M. A., Dutra, N., Basnight-Brown, D., & IJzerman, H. (2022). The Benefits, Barriers, and Risks of Big-Team Science. Perspectives on Psychological Science. https://doi.org/10.1177/17456916221082970

Hoogeveen, S., Sarafoglou, A., Aczel, B., Aditya, Y., Alayan, A. J., Allen, P. J., Altay, S., Alzahawi, S., Amir, Y., Anthony, F. V., Kwame Appiah, O., Atkinson, Q. D., Baimel, A., Balkaya-Ince, M., Balsamo, M., Banker, S., Bartoš, F., Becerra, M., Beffara, B., ... Wagenmakers, E. J. (2022). A many-analysts approach to the relation between religiosity and well-being. Religion, Brain and Behavior. https://doi.org/10.1080/2153599X.2022.2070255

Hoogeveen, S., Sarafoglou, A., van Elk, M., & Wagenmakers, E. J. (2022). Many-analysts religion project:reflection and conclusion. Religion, Brain and Behavior. https://doi.org/10.1080/2153599X.2022.2070263

Ly, A., & Wagenmakers, E. J. (2022). Bayes factors for peri-null hypotheses. Test. https://doi.org/10.1007/s11749-022-00819-w

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 and Behavior. https://doi.org/10.1007/s42113-022-00154-1

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 of the United States of America, 119(31), [e2200300119]. https://doi.org/10.1073/pnas.2200300119

Manning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., 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(1), [6072]. https://doi.org/10.1038/s41598-022-09885-4

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: Reduced Accumulation of Sensory Evidence and Related Neural Dynamics. The Journal of Neuroscience, 42(1), 121-134. https://doi.org/10.1523/JNEUROSCI.1232-21.2021 [details]
Download

Mulder, J., Wagenmakers, E-J., & Marsman, M. (2022). A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses. American Statistician, 76(2), 102-109. https://doi.org/10.1080/00031305.2020.1799861 [details]
Download

Pfadt, J. M., Bergh, D. V. D., Sijtsma, K., & Wagenmakers, E. J. (2022). A tutorial on Bayesian single-test reliability analysis with JASP. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01778-0

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(4), 620-641. https://doi.org/10.1080/00273171.2021.1891855 [details]
Download

Rosenberg, J. M., Kubsch, M., Wagenmakers, E-J., & Dogucu, M. (2022). Making Sense of Uncertainty in the Science Classroom: A Bayesian Approach. Science and Education, 31(5), 1239-1262. https://doi.org/10.1007/s11191-022-00341-3 [details]
Downloads
s11191-022-00341-3
Supplementary files
11191 2022 341 MOESM1 ESM

Sarafoglou, A., Kovacs, M., Bakos, B., 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(7), [211997]. https://doi.org/10.1098/rsos.211997 [details]
Download

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(2), 138-150. https://doi.org/10.1177/14757257221077307

Stefan, A. M., Katsimpokis, D., Gronau, Q. F., & Wagenmakers, E-J. (2022). Expert agreement in prior elicitation and its effects on Bayesian inference. Psychonomic Bulletin and Review, 29(5), 1776-1794. https://doi.org/10.3758/s13423-022-02074-4 [details]
Download

Stefan, A. M., Lengersdorff, L. L., & Wagenmakers, E-J. (2022). A Two-Stage Bayesian Sequential Assessment of Exploratory Hypotheses. Collabra: Psychology, 8(1), 1-8. [40350]. https://doi.org/10.1525/collabra.40350

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 and Dementia. https://doi.org/10.1002/alz.12615

Wagenmakers, E-J., Gronau, Q. F., Dablander, F., & Etz, A. (2022). The Support Interval. Erkenntnis, 87(2), 589–601. https://doi.org/10.31234/osf.io/zwnxb, https://doi.org/10.1007/s10670-019-00209-z [details]
Downloads
TheSupportInterval
Wagenmakers2022 Article TheSupportInterval

Wagenmakers, E-J., Sarafoglou, A., & Aczel, B. (2022). One statistical analysis must not rule them all. Nature, 605(7910), 423-425. https://doi.org/10.1038/d41586-022-01332-8

Wagenmakers, E. J., & Ly, A. (2022). History and nature of the Jeffreys–Lindley paradox. Archive for History of Exact Sciences. https://doi.org/10.1007/s00407-022-00298-3

2021

Aczel, B., Szaszi, B., Nilsonne, G., Van Den Akker, O. R., Albers, C. J., Van Assen, M. A., 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., Donkin, C., Van Doorn, J. B., ... Wagenmakers, E. J. (2021). Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10, [e72185]. https://doi.org/10.7554/eLife.72185

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(30), 6743-6761. https://doi.org/10.1002/sim.9170 [details]
Download

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(3), 621-636. https://doi.org/10.1111/ijau.12240 [details]

Dutilh, G., Sarafoglou, A., & Wagenmakers, E-J. (2021). Flexible Yet Fair: Blinding Analyses in Experimental Psychology. Synthese, 198(Supplement issue 23), 5745-5772. https://doi.org/10.31234/osf.io/d79r8, https://doi.org/10.1007/s11229-019-02456-7 [details]
Download

Gronau, Q. F., Heck, D. W., Berkhout, S. W., Haaf, J. M., & Wagenmakers, E-J. (2021). A Primer on Bayesian Model-Averaged Meta-Analysis. Advances in Methods and Practices in Psychological Science, 4(3). https://doi.org/10.1177/25152459211031256 [details]
Download

Gronau, Q. F., Raj, A. K. N., & Wagenmakers, E-J. (2021). Informed Bayesian Inference for the A/B Test. Journal of Statistical Software, 100(17). https://doi.org/10.18637/jss.v100.i17 [details]
Downloads
v100i17
Supplementary files
abtest 1.0.1.tar
v100i17

Hulme, O. J., Wagenmakers, E. J., Damkier, P., Madelung, C. F., Siebner, H. R., Helweg-Larsen, J., Gronau, Q. F., Benfield, T. L., & Madsen, K. H. (2021). A Bayesian reanalysis of the effects of hydroxychloroquine and azithromycin on viral carriage in patients with COVID-19. PLoS ONE, 16(2), [e0245048]. https://doi.org/10.1371/journal.pone.0245048 [details]
Download

Linde, M., Tendeiro, J. N., Selker, R., Wagenmakers, E-J., & van Ravenzwaaij, D. (2021). Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor. Psychological Methods. https://doi.org/10.1037/met0000402

Ly, A., & Wagenmakers, E. J. (2021). A Critical Evaluation of the FBST e v for Bayesian Hypothesis Testing: Critique of the FBST e v. Computational Brain and Behavior. https://doi.org/10.31234/osf.io/x9t6n, https://doi.org/10.1007/s42113-021-00109-y

Manning, C., Wagenmakers, E-J., Norcia, A. M., Scerif, G., & Böhm, U. (2021). Perceptual Decision-Making in Children: Age-Related Differences and EEG Correlates. Computational Brain & Behavior, 4(1), 53-69. https://doi.org/10.31234/osf.io/jwsmb, https://doi.org/10.1007/s42113-020-00087-7 [details]
Downloads
Manning2021 Article PerceptualDecision-MakingInChi
Supplementary files
42113 2020 87 MOESM1 ESM
Related datasets
Boehm, U., Scerif, G., Wagenmakers, E.-J., Manning, C. & Norcia, A. M. (1-1-2020). Collection holding EEG data and modelling files supporting the published article: Perceptual decision-making in children: Age-related differences and EEG correlates.. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.c.5006684.v1

Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink, M., Menke, J., van Aert, R., Fox, J-P., Hoijtink, H., Rosseel, Y., Wagenmakers, E-J., & van Lissa, C. (2021). BFpack: Flexible Bayes Factor Testing of Scientific Theories in R. Journal of Statistical Software, 100(18). https://doi.org/10.18637/jss.v100.i18 [details]
Downloads
v100i18
Supplementary files
BFpack 1.0.0.tar
v100i18

Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E. J., & Marsman, M. (2021). Evaluating Multinomial Order Restrictions With Bridge Sampling. Psychological Methods, Advance online publication. https://doi.org/10.1037/met0000411

Steingröver, H., Wabersich, D., & Wagenmakers, E-J. (2021). Modeling Across-Trial Variability in the Wald Drift Rate Parameter. Behavior Research Methods, 53(3), 1060–1076. https://doi.org/10.3758/s13428-020-01448-7 [details]
Download

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 and Dementia, 17(6), 917-919. https://doi.org/10.1002/alz.12374 [details]

Vohs, K. D., Schmeichel, B. J., Lohmann, S., Gronau, Q. F., Finley, A. J., Ainsworth, S., Alquist, J. L., Baker, M. D., Brizi, A., Bunyi, A., Butschek, G. J., Campbell, C., Capaldi, J., Cau, C., Chambers, H., Chatzisarantis, N. L. D., Christensen, W. J., Clay, S. L., Curtis, J., ... Albarracín, D. (2021). A multisite preregistered paradigmatic test of the ego-depletion effect. Psychological Science, 32(10), 1566-1581. https://doi.org/10.31234/osf.io/e497p, https://doi.org/10.1177/0956797621989733

Wagenmakers, E-J., Sarafoglou, A., Aarts, S., Albers, C., Algermissen, J., Bahník, Š., 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(11), 1473-1480. https://doi.org/10.1038/s41562-021-01211-8 [details]

Wagenmakers, E. M., Derks, K. P., de Swart, J., Wetzels, R. M., & Wille, J. (2021). JASP for Audit: Bayesian Tools for the Auditing Practice. The Journal of Open Source Software. https://doi.org/10.21105/joss.02733

van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E. J. (2021). Bayes Factors for Mixed Models. Computational Brain and Behavior. https://doi.org/10.1007/s42113-021-00113-2

van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., 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(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5 [details]
Downloads
Doorn2020 Article TheJASPGuidelinesForConducting
Supplementary files
Example1 TTest Stereograms
Example1 TTest Stereograms
Example2 MixedANOVA Bugs
Example3 Correlation BigFivePersonalityTraits
Example4 InformedTTest FacialFeedback
Example5 Regression BigFivePersonalityTraits

van Ravenzwaaij, D., & Wagenmakers, E-J. (2021). Advantages masquerading as "issues" in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019). Psychological Methods. https://doi.org/10.1037/met0000415

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). https://doi.org/10.31234/osf.io/h6pr8, https://doi.org/10.1177/2515245921992035 [details]
Downloads
2515245921992035
Supplementary files
sj-pdf-1-amp-10.1177 2515245921992035

von den Bergh, D., Clyde, M. A., Gupta, A. R. K. N., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., & Wagenmakers, E-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53(6), 2351-2371. https://doi.org/10.31234/osf.io/pqju6, https://doi.org/10.3758/s13428-021-01552-2 [details]
Download

2020

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., ... Wagenmakers, E. J. (2020). Author Correction: A consensus-based transparency checklist (Nature human behaviour (2020) 4 1 (4-6)). Nature Human Behaviour, 4(1), 120. https://doi.org/10.1038/s41562-019-0812-2

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, and Psychophysics, 82(3), 1520-1534. https://doi.org/10.3758/s13414-019-01806-4 [details]
Download

Dablander, F., van den Bergh, D., Ly, A., & Wagenmakers, E. M. (2020). Default Bayes Factors for Testing the (In)equality of Several Population Variances. Manuscript submitted for publication. https://arxiv.org/abs/2003.06278

Dahrendorf, M., Hoffmann, T., Mittenbühler, M., Wiechert, S., 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(1), 15-20. https://doi.org/10.31234/osf.io/h39jt, https://doi.org/10.5334/jeps.506 [details]
Download

Evans, N. J., & Wagenmakers, E-J. (2020). Evidence Accumulation Models: Current Limitations and Future Directions. The Quantitative Methods for Psychology, 16(2), 73-90. https://doi.org/10.31234/osf.io/74df9, https://doi.org/10.20982/tqmp.16.2.p073 [details]
Download

Evans, N. J., Dutilh, G., Wagenmakers, E-J., & Maas, H. L. J. V. D. (2020). Double responding: A new constraint for models of speeded decision making. Cognitive Psychology, 121, [101292]. https://doi.org/10.1016/j.cogpsych.2020.101292 [details]
Downloads
1-s2.0-S0010028520300219-main
Supplementary files
1-s2.0-S0010028520300219-mmc1

Faulkenberry, T. J., Ly, A., & Wagenmakers, E-J. (2020). Bayesian Inference in Numerical Cognition: A Tutorial Using JASP. Journal of Numerical Cognition, 6(2), 231-259. https://doi.org/10.5964/jnc.v6i2.288 [details]
Download

Field, S. M., Wagenmakers, E-J., Kiers, H. A. L., Hoekstra, R., Ernst, A. F., & van Ravenzwaaij, D. (2020). The effect of preregistration on trust in empirical research findings: results of a registered report. Royal Society Open Science, 7(4), [181351]. https://doi.org/10.1098/rsos.181351 [details]
Downloads
rsos.181351
Supplementary files
rsos181351 review history

Gronau, Q. F., Ly, A., & Wagenmakers, E-J. (2020). Informed Bayesian t-Tests. American Statistician, 74(2), 137-143. https://doi.org/10.1080/00031305.2018.1562983 [details]
Downloads
Informed Bayesian t Tests
Supplementary files
online appendix
Related datasets
Ly, A., Wagenmakers, E.-J. & Gronau, Q. F. (2-4-2020). Informed Bayesian t-Tests. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.7887854.v2

Gronau, Q. F., Singmann, H., & Wagenmakers, E-J. (2020). bridgesampling: An R Package for Estimating Normalizing Constants. Journal of Statistical Software, 92(10), [10]. https://doi.org/10.18637/jss.v092.i10 [details]
Downloads
v92i10
Supplementary files
bridgesampling 1.0-0.tar
v92i10

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(2), 200-215. https://doi.org/10.31234/osf.io/wgb64, https://doi.org/10.1177/2515245919898657 [details]
Downloads
2515245919898657
Supplementary files
HinneOpenPracticesDisclosure
Related datasets
Hinne, M., Gronau, Q. F., van den Bergh, D. & Wagenmakers, E.-J. (2020). A Conceptual Introduction to Bayesian Model Averaging. SAGE Journals. https://doi.org/10.25384/sage.c.5004707.v1
Hinne, M., Gronau, Q. F., van den Bergh, D. & Wagenmakers, E.-J. (2020). HinneOpenPracticesDisclosure – Supplemental material for A Conceptual Introduction to Bayesian Model Averaging. SAGE Journals. https://doi.org/10.25384/sage.12416645.v1

Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully. Advances in Methods and Practices in Psychological Science, 3(3), 267-285. https://doi.org/10.1177/2515245920919667 [details]
Downloads
2515245920919667
Supplementary files
Hoogeveen Rev Open Practices Disclosure
PredictingReplicability SupplementalMaterial Revision

Keysers, C., Gazzola, V., & Wagenmakers, E-J. (2020). Author Correction: Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nature Neuroscience, 23(11), 1453. https://doi.org/10.1038/s41593-020-00710-7

Keysers, C., Gazzola, V., & Wagenmakers, E-J. (2020). Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence. Nature Neuroscience, 23(7), 788-799. https://doi.org/10.1038/s41593-020-0660-4 [details]
Downloads
s41593-020-0660-4
Supplementary files
41593 2020 660 MOESM1 ESM

Landy, J. F., Jia, M. L., 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., ... Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451-479. https://doi.org/10.1037/bul0000220 [details]
Download

Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, S., 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(2), 153-161. https://doi.org/10.31234/osf.io/dhb7x, https://doi.org/10.1007/s42113-019-00070-x [details]
Download

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(1), 46-59. https://doi.org/10.1177/1475725719858807 [details]
Download

Stefan, A. M., Evans, N. J., & Wagenmakers, E-J. (2020). Practical challenges and methodological flexibility in prior elicitation. Psychological Methods. https://doi.org/10.31234/osf.io/d42xb, https://doi.org/10.1037/met0000354

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). (Annals of Theoretical Psychology; Vol. 16). Springer. https://doi.org/10.31234/osf.io/rqnu5, https://doi.org/10.1007/978-3-030-48043-1_8 [details]
Download

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(16), 2984-3006. https://doi.org/10.1080/02664763.2019.1709053 [details]
Download

van Doorn, J., Matzke, D., & Wagenmakers, E-J. (2020). An In-Class Demonstration of Bayesian Inference. Psychology Learning and Teaching, 19(1), 36-45. https://doi.org/10.1177/1475725719848574 [details]
Download

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]. https://doi.org/10.1016/j.jmp.2020.102383 [details]
Download

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. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073 [details]

2019

Evans, N. J., & Wagenmakers, E-J. (2019). Theoretically meaningful models can answer clinically relevant questions. Brain, 142(5), 1172-1175. https://doi.org/10.1093/brain/awz073 [details]
Download

Gronau, Q. F., & Wagenmakers, E-J. (2019). Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection. Computational Brain & Behavior, 2(1), 1-11. https://doi.org/10.1007/s42113-018-0011-7 [details]
Download

Gronau, Q. F., & Wagenmakers, E-J. (2019). Rejoinder: More Limitations of Bayesian Leave-One-Out Cross-Validation. Computational Brain & Behavior, 2(1), 35-47. https://doi.org/10.1007/s42113-018-0022-4 [details]
Download

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(1), 261-284. https://doi.org/10.1007/s11336-018-9648-3 [details]
Downloads
Gronau2019 Article ASimpleMethodForComparingCompl
Supplementary files
11336 2018 9648 MOESM1 ESM

Heck, D. W., Overstall, A. M., Gronau, Q. F., & Wagenmakers, E-J. (2019). Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Statistics and Computing, 29(4), 631-643. https://doi.org/10.1007/s11222-018-9828-0 [details]
Download

Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, J., ... Wagenmakers, E-J. (2019). JASP: Graphical statistical software for common statistical designs. Journal of Statistical Software, 88, [2]. https://doi.org/10.18637/jss.v088.i02 [details]
Downloads
v88i02
Supplementary files
jasp-desktop-0.9.1
EyeMovements

Ly, A., Etz, A., Marsman, M., & Wagenmakers, E-J. (2019). Replication Bayes factors from evidence updating. Behavior Research Methods, 51(6), 2498–2508. https://doi.org/10.3758/s13428-018-1092-x [details]
Download

Marsman, M., Waldorp, L., Dablander, F., & Wagenmakers, E-J. (2019). Bayesian estimation of explained variance in ANOVA designs. Statistica Neerlandica, 73(3), 351-372. https://doi.org/10.1111/stan.12173 [details]
Download

Selker, R., van den Bergh, D., Criss, A. H., & Wagenmakers, E-J. (2019). Parsimonious estimation of signal detection models from confidence ratings. Behavior Research Methods, 51(5), 1953-1967. https://doi.org/10.3758/s13428-019-01231-3 [details]
Download

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(3), 1042-1058. https://doi.org/10.3758/s13428-018-01189-8 [details]
Download

van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N., Lakens, D., Hennig, C., Morey, R. D., Homer, S., Gelman, A., Sprenger, J., & Wagenmakers, E. J. (2019). Multiple Perspectives on Inference for Two Simple Statistical Scenarios. American Statistician, 73(S1), 328-339. https://doi.org/10.1080/00031305.2019.1565553 [details]
Download

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E-J. (2019). Bayesian estimation of Kendall’s τ using a latent normal approach. Statistics and Probability Letters, 145, 268-272. https://doi.org/10.1016/j.spl.2018.10.004 [details]
Downloads
1-s2.0-S0167715218303201-main
Supplementary files
1-s2.0-S0167715218303201-mmc1

2018

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(3), 357-366. https://doi.org/10.1177/2515245918773742 [details]
Downloads
2515245918773742
Supplementary files
10 1177 2515245918773742

Beek, T. F., Matzke, D., Pinto, Y., Rotteveel, M., Gierholz, A., Verhagen, J., Selker, R., Sasiadek, A., Steingroever, H., Jostmann, N. B., & Wagenmakers, E-J. (2018). Incidental Haptic Sensations May Not Influence Social Judgments: A Purely Confirmatory Replication Attempt of Study 1 by Ackerman, Nocera, and Bargh (2010). Journal of Articles in Support of the Null Hypothesis, 14(2), 69-90. https://search.ebscohost.com/login.aspx?direct=true&db=aph&AN=132351143&site=ehost-live&scope=site [details]
Download

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. https://doi.org/10.1016/j.jmp.2018.09.004 [details]
Download

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(4), 1614-1631. https://doi.org/10.3758/s13428-018-1054-3 [details]
Download

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(3), 1248–1269. https://doi.org/10.3758/s13428-017-0940-4 [details]
Download

Camerer, C., Dreber Almenberg, A., Holzmeister, F., Ho, T-H., Huber, J., Johannesson, M., ... Wu, H. (2018). Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015. Nature Human Behaviour, 2(9), 637–644. https://doi.org/10.1038/s41562-018-0399-z [details]

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., ... 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. https://doi.org/10.5334/jeps.458 [details]
Download

Gronau, Q. F., & Wagenmakers, E-J. (2018). Bayesian Evidence Accumulation in Experimental Mathematics: A Case Study of Four Irrational Numbers. Experimental Mathematics, 27(3), 277-286. https://doi.org/10.1080/10586458.2016.1256006 [details]
Related datasets
Gronau, Q. F. & Wagenmakers, E.-J. (3-7-2018). Bayesian Evidence Accumulation in Experimental Mathematics: A Case Study of Four Irrational Numbers. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.7123001.v1

Hoekstra, R., Monden, R., van Ravenzwaaij, D., & Wagenmakers, E-J. (2018). Bayesian reanalysis of null results reported in medicine Strong yet variable evidence for the absence of treatment effects. PLoS ONE, 13(4), [e0195474]. https://doi.org/10.1371/journal.pone.0195474 [details]
Downloads
file
Supplementary files
journal.pone.0195474.s001
journal.pone.0195474.s002

Hoogeveen, S., Wagenmakers, E-J., Kay, A. C., & Van Elk, M. (2018). Compensatory control and religious beliefs: A registered replication report across two countries. Comprehensive Results in Social Psychology, 3(3), 240-265. https://doi.org/10.1080/23743603.2019.1684821 [details]
Download

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(1), 70-85. https://doi.org/10.1177/2515245917751886 [details]

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. Xinli kexue jinzhan, 26(6), 951–965. https://doi.org/10.3724/SP.J.1042.2018.00951 [details]

Ly, A., Marsman, M., & Wagenmakers, E-J. (2018). Analytic posteriors for Pearson's correlation coefficient. Statistica Neerlandica, 72(1), 4-13. https://doi.org/10.1111/stan.12111 [details]
Download

Ly, A., Raj, A., Etz, A., Marsman, M., Gronau, Q. F., & Wagenmakers, E-J. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1(3), 367-374. https://doi.org/10.1177/2515245918779348 [details]
Downloads
2515245918779348
Supplementary files
LyOpenPracticesDisclosure

Meindertsma, T., Kloosterman, N. A., Engel, A. K., Wagenmakers, E-J., & Donner, T. H. (2018). Surprise About Sensory Event Timing Drives Cortical Transients in the Beta Frequency Band. The Journal of Neuroscience, 38(35), 7600-7610. https://doi.org/10.1523/JNEUROSCI.0307-18.2018 [details]
Download

Monden, R., Roest, A. M., van Ravenzwaaij, D., Wagenmakers, E-J., Morey, R., Wardenaar, K. J., & de Jonge, P. (2018). The comparative evidence basis for the efficacy of second-generation antidepressants in the treatment of depression in the US: A Bayesian meta-analysis of Food and Drug Administration reviews. Journal of Affective Disorders, 235, 393-398. https://doi.org/10.1016/j.jad.2018.04.040 [details]
Related datasets
de Jonge, P., Morey, R., Roest, A. M., Wardenaar, K. J., Monden, R., Wagenmakers, E.-J. & van Ravenzwaaij, D. (1-8-2018). Data for: The comparative evidence basis for the efficacy of second-generation antidepressants in the treatment of depression: A Bayesian Meta-analysis. Mendeley Data. https://doi.org/10.17632/p3k5h38xpn.1

Schönbrodt, F. D., & Wagenmakers, E-J. (2018). Bayes factor design analysis: Planning for compelling evidence. Psychonomic Bulletin and Review, 25(1), 128-142. https://doi.org/10.3758/s13423-017-1230-y [details]

Silberzahn, R., Uhlmann, E. L., Martin, D. P., Anselmi, P., Aust, F., Awtrey, E., Bahník, Bai, F., Bannard, C., Bonnier, E., Carlsson, R., Cheung, F., Christensen, G., Clay, R., Craig, M. A., Rosa, A. D., Dam, L., Evans, M. H., Cervantes, I. F., ... 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(3), 337-356. https://doi.org/10.1177/2515245917747646

Wagenmakers, E-J. (2018). In Vivo: Likelihood: A halfway house? In S. Farrell, & S. Lewandowsky (Eds.), Computational Modeling of Cognition and Behaviour (pp. 103-104). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781316272503.005 [details]

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(4), 418-427. https://doi.org/10.1177/1745691618771357 [details]
Download

Wagenmakers, E-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, 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., ... Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25(1), 58-76. https://doi.org/10.3758/s13423-017-1323-7 [details]
Download

Wagenmakers, E-J., Marsman, M., Jamil, T., Ly, A., Verhagen, 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(1), 35-57. https://doi.org/10.3758/s13423-017-1343-3 [details]
Download

van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E-J. (2018). Bayesian Inference for Kendall's Rank Correlation Coefficient. American Statistician, 72(4), 303-308. https://doi.org/10.1080/00031305.2016.1264998 [details]
Downloads
Bayesian Inference for Kendall s Rank Correlation Coefficient
Supplementary files
4452449
1
Related datasets
van Doorn, J., Marsman, M., Wagenmakers, E.-J. & Ly, A. (2-10-2018). Bayesian Inference for Kendall's Rank Correlation Coefficient. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.4452449.v1

2017

Dutilh, G., Vandekerckhove, J., Ly, A., Matzke, D., Pedroni, A., Frey, R., ... Wagenmakers, E-J. (2017). A test of the diffusion model explanation for the worst performance rule using preregistration and blinding. Attention, Perception & Psychophysics, 79(3), 713-725. https://doi.org/10.3758/s13414-017-1304-y [details]
Download

Etz, A., & Wagenmakers, E-J. (2017). J. B. S. Haldane's contribution to the bayes factor hypothesis test. Statistical Science, 32(2), 313-329. https://doi.org/10.1214/16-STS599 [details]
Download

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, [16433]. https://doi.org/10.1038/s41598-017-16694-7 [details]
Download

Forstmeier, W., Wagenmakers, E. J., & Parker, T. H. (2017). Detecting and avoiding likely false-positive findings: A practical guide. Biological Reviews of the Cambridge Philosophical Society, 92(4), 1941–1968. https://doi.org/10.1111/brv.12315 [details]
Download

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(9), 1223-1233. https://doi.org/10.1037/xge0000324 [details]

Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E-M., & Steingroever, H. (2017). A tutorial on bridge sampling. Journal of Mathematical Psychology, 81, 80-97. https://doi.org/10.1016/j.jmp.2017.09.005 [details]
Download

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(1), 123-138. https://doi.org/10.1080/23743603.2017.1326760 [details]

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(2), 638-652. https://doi.org/10.3758/s13428-016-0739-8 [details]
Download

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 Times. Educational and Psychological Measurement, 77(5), 819-830. https://doi.org/10.1177/0013164416667980 [details]
Download

Ly, A., Marsman, M., Verhagen, J., Grasman, R. P. P. P., & Wagenmakers, E-M. (2017). A tutorial on Fisher information. Journal of Mathematical Psychology, 80, 40-55. https://doi.org/10.1016/j.jmp.2017.05.006 [details]
Download

Marsman, M., & Wagenmakers, E-J. (2017). Bayesian benefits with JASP. The European Journal of Developmental Psychology, 14(5), 545-555. https://doi.org/10.1080/17405629.2016.1259614 [details]
Download

Marsman, M., & Wagenmakers, E-J. (2017). Three insights from a Bayesian interpretation of the one-sided P value. Educational and Psychological Measurement, 77(3), 529-539. https://doi.org/10.1177/0013164416669201 [details]
Download

Marsman, M., Schönbrodt, F. D., 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(1), [160426]. https://doi.org/10.1098/rsos.160426, https://doi.org/10.1098/rsos.170085 [details]
Downloads
160426.full.pd
170085.full.pd

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: Psychology, 3(1), [25]. https://doi.org/10.1525/collabra.78 [details]
Download

Munafò, M. R., Nosek, B. A., Bishop, D. V. M., Button, K. S., Chambers, C. D., Percie Du Sert, N., ... Ioannidis, J. P. A. (2017). A manifesto for reproducible science. Nature Human Behaviour, 1(1), [0021]. https://doi.org/10.1038/s41562-016-0021 [details]
Download

Rouder, J. N., Morey, R. D., Verhagen, J., Swagman, A. R., & Wagenmakers, E. J. (2017). Bayesian analysis of factorial designs. Psychological Methods, 22(2), 304-321. https://doi.org/10.1037/met0000057 [details]

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 Bürkner (2017). Psychological Science, 28(11), 1698-1701. https://doi.org/10.1177/0956797617724426 [details]

Schönbrodt, F. D., Wagenmakers, E-J., Zehetleitner, M., & Perugini, M. (2017). Sequential Hypothesis Testing With Bayes Factors: Efficiently Testing Mean Differences. Psychological Methods, 22(2), 322-339. https://doi.org/10.1037/met0000061 [details]

Wagenmakers, E-J., Verhagen, J., Ly, A., Matzke, D., Steingroever, H., Rouder, J. N., & Morey, R. D. (2017). The need for Bayesian hypothesis testing in psychological science. In S. O. Lilienfeld, & I. D. Waldman (Eds.), Psychological Science under Scrutiny: Recent Challenges and Proposed Solutions (pp. 123-138). Wiley Blackwell. https://doi.org/10.1002/9781119095910.ch8 [details]

van Elk, M., & Wagenmakers, E-J. (2017). Can the experimental study of religion be advanced using a Bayesian predictive framework? Religion, Brain & Behavior, 7(4), 331-334. https://doi.org/10.1080/2153599X.2016.1249915 [details]
Download

van Erp, S., Verhagen, 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(1), [4]. https://doi.org/10.5334/jopd.33 [details]
Downloads
33-301-1-PB
Supplementary files
jopd-5-33-s1
jopd-5-33-s2

2016

Boehm, U., Hawkins, G. E., Brown, S., van Rijn, H., & Wagenmakers, E-J. (2016). Of monkeys and men: Impatience in perceptual decision-making. Psychonomic Bulletin & Review, 23(3), 738-749. https://doi.org/10.3758/s13423-015-0958-5 [details]
Download

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. https://doi.org/10.1016/j.cortex.2015.06.018 [details]
Download

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 exploratory multiway ANOVA: Prevalence and remedies. Psychonomic Bulletin & Review, 23(2), 640-647. https://doi.org/10.3758/s13423-015-0913-5 [details]
Download

Field, S. M., Wagenmakers, E-J., Newell, B. R., Zeelenberg, R., & van Ravenzwaaij, D. (2016). Two Bayesian tests of the GLOMO^sys model. Journal of Experimental Psychology. General, 145(12), e81-e95. https://doi.org/10.1037/xge0000067 [details]

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. https://doi.org/10.1146/annurev-psych-122414-033645 [details]
Download

Heck, D. W., & Wagenmakers, E-J. (2016). Adjusted priors for Bayes factors involving reparameterized order constraints. Journal of Mathematical Psychology, 73, 110-116. https://doi.org/10.1016/j.jmp.2016.05.004 [details]

Ly, A., Verhagen, 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. https://doi.org/10.1016/j.jmp.2016.01.003 [details]

Ly, A., Verhagen, 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. https://doi.org/10.1016/j.jmp.2015.06.004 [details]

Monden, R., de Vos, S., Morey, R., 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 disorders. International Journal of Methods in Psychiatric Research, 25(4), 299-308. https://doi.org/10.1002/mpr.1507 [details]

Morey, R. D., Chambers, C. D., Etchells, P. J., Harris, C. R., Hoekstra, R., Lakens, D., ... Zwaan, R. A. (2016). The Peer Reviewers’ Openness Initiative: incentivizing open research practices through peer review. Royal Society Open Science, 3(1), [150547]. https://doi.org/10.1098/rsos.150547 [details]
Download

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(1), 103-123. https://doi.org/10.3758/s13423-015-0947-8 [details]
Downloads
The fallacy of placing confidence in confidence intervals
13423 2015 947 MOESM1 ESM

Morey, R. D., Wagenmakers, E-J., & Rouder, J. N. (2016). Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker. Multivariate Behavioral Research, 51(1), 11-19. https://doi.org/10.1080/00273171.2015.1052710 [details]
Related datasets
Rouder, J. N., Wagenmakers, E.-J. & Morey, R. D. (1-1-2016). Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.2252938.v1

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. https://doi.org/10.1016/j.jmp.2016.01.002 [details]

Rouder, J. N., Morey, R. D., & Wagenmakers, E-J. (2016). The interplay between subjectivity, statistical practice, and psychological science. Collabra, 2, [6]. https://doi.org/10.1525/collabra.28 [details]
Download

Rouder, J. N., Morey, R. D., Verhagen, J., Province, J. M., & Wagenmakers, E-J. (2016). Is there a free lunch in inference? Topics in Cognitive Science, 8(3), 520-547. https://doi.org/10.1111/tops.12214 [details]

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(7), 1043-1046. https://doi.org/10.1177/0956797616644081 [details]

Schweinsberg, M., Madan, N., Vianello, M., Sommer, S. A., Jordan, J., Tierney, W., ... 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. https://doi.org/10.1016/j.jesp.2015.10.001 [details]
Downloads
The pipeline project
495016 mmc1

Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2016). Bayes factors for reinforcement-learning models of the Iowa Gambling Task. Decision, 3(2), 115-131. https://doi.org/10.1037/dec0000040 [details]

Tierney, W., Schweinsberg, M., Jordan, J., Kennedy, D. M., Qureshi, I., Sommer, S. A., ... Uhlmann, E. L. (2016). Data from a pre-publication independent replication initiative examining ten moral judgement effects. Scientific Data, 3, [160082]. https://doi.org/10.1038/sdata.2016.82 [details]
Downloads
Data from a pre-publication independent replication initiative examining ten moral judgement effects
sdata201682-s1
sdata201682-s2

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]. https://doi.org/10.15200/winn.146611.14253 [details]
Download

Wagenmakers, E-J., & Busato, V. (2016). De verleidingen van foponderzoek. Skepter, 29(4), 24-28. [details]

Wagenmakers, E-J., Beek, T., Dijkhoff, L., Gronau, Q. F., Acosta, A., Adams, R. B., 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., ... Zwaan, R. A. (2016). Registered Replication Report: Strack, Martin, & Stepper (1988). Perspectives on Psychological Science, 11(6), 917-928. https://doi.org/10.1177/1745691616674458 [details]
Download

Wagenmakers, E-J., Morey, R. D., & Lee, M. D. (2016). Bayesian Benefits for the Pragmatic Researcher. Current Directions in Psychological Science, 25(3), 169-176. https://doi.org/10.1177/0963721416643289 [details]
Download

Wagenmakers, E-J., Verhagen, J., & Ly, A. (2016). How to quantify the evidence for the absence of a correlation. Behavior Research Methods, 48(2), 413-426. https://doi.org/10.3758/s13428-015-0593-0 [details]
Download

Wetzels, R., Tutschkow, D., Dolan, C., van der Sluis, S., Dutilh, G., & Wagenmakers, E-J. (2016). A Bayesian test for the hot hand phenomenon. Journal of Mathematical Psychology, 72, 200-209. https://doi.org/10.1016/j.jmp.2015.12.003 [details]

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(1), 184-200. https://doi.org/10.3758/s13428-015-0563-6 [details]
Download

2015

Aarts, A. A., et al., U., Borsboom, D., Columbus, S., den Bezemer, B., Deserno, M. K., Epskamp, S., Jonas, K., Kleinberg, B., Kossakowski, J. J., Kunkels, Y. K., Rahal, R-M., Sahin, O., Skorinko, J. L. M., Tio, P., van Bork, R., van den Bergh, D., van Renswoude, D. R., van Doorn, J., & Wagenmakers, E-J. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 943. [aac4716]. https://doi.org/10.1126/science.aac4716 [details]
Related datasets
Tio, P., Renkewitz, F., Bell, R., Selterman, D., Thomas, S. L., Martinez, T., Voracek, M., Van Doorn, J., Ostkamp, L., Galak, J., Pipitone, R. ., Epskamp, S., Hodsoll, J., Axt, J., Van Rijn, H., Bartmess, E., Strohminger, N., Beyan, L., Hung, C. O.-Y., … Scholz, S. (1-1-2015). Data from: Estimating the reproducibility of psychological science. Singapore Management University. https://doi.org/10.25440/smu.12062757.v1

Andraszewicz, S., Scheibehenne, B., Rieskamp, J., Grasman, R., Verhagen, J., & Wagenmakers, E-J. (2015). An introduction to Bayesian hypothesis testing for management research. Journal of Management, 41(2), 521-543. https://doi.org/10.1177/0149206314560412 [details]
Downloads
436852
Supplementary files
JOM560412 SupplMat

Boekel, W., Wagenmakers, E-J., Belay, L., Verhagen, J., Brown, S., & Forstmann, B. U. (2015). A purely confirmatory replication study of structural brain-behavior correlations. Cortex, 66, 115-133. https://doi.org/10.1016/j.cortex.2014.11.019 [details]
Downloads
439368
Supplementary files
1-s2.0-S0010945215000155-mmc1

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. https://doi.org/10.1007/978-1-4939-2236-9_7 [details]
Download

Forstmann, B. U., & Wagenmakers, E-J. (2015). Preface. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. v-vi). Springer. https://doi.org/10.1007/978-1-4939-2236-9 [details]
Download

Hawkins, G. E., Forstmann, B. U., Wagenmakers, E-J., Ratcliff, R., & Brown, S. D. (2015). Revisiting the evidence of collapsing boundaries and urgency signals in perceptual decision-making. The Journal of Neuroscience, 35(6), 2476-2484. https://doi.org/10.1523/JNEUROSCI.2410-14.2015 [details]
Download

Hawkins, G. E., Wagenmakers, E-J., Ratcliff, R., & Brown, S. D. (2015). Discriminating evidence accumulation from urgency signals in speeded decision making. Journal of Neurophysiology, 114(1), 40-47. https://doi.org/10.1152/jn.00088.2015 [details]

Heathcote, A., Brown, S. D., & Wagenmakers, E-J. (2015). An introduction to good practices in cognitive modeling. In B. U. Forstmann, & E-J. Wagenmakers (Eds.), An introduction to model-based cognitive neuroscience (pp. 25-48). Springer. https://doi.org/10.1007/978-1-4939-2236-9_2 [details]

Heck, D. W., Wagenmakers, E-J., & Morey, R. D. (2015). Testing order constraints: Qualitative differences between Bayes factors and normalized maximum likelihood. Statistics & Probability Letters, 105, 157-162. https://doi.org/10.1016/j.spl.2015.06.014 [details]

Krypotos, A-M., Beckers, T., Kindt, M., & Wagenmakers, E. J. (2015). A Bayesian hierarchical diffusion model decomposition of performance in approach-avoidance tasks. Cognition & Emotion, 29(8), 1424-1444. https://doi.org/10.1080/02699931.2014.985635 [details]
Downloads
436226
Supplementary files
436226 supplemental

Lee, M. D., Lodewyckx, T., & Wagenmakers, E-J. (2015). Three Bayesian analyses of memory deficits in patients with dissociative identity disorder. In J. G. W. Raaijmakers, A. H. Criss, R. L. Goldstone, R. M. Nosofsky, & M. Steyvers (Eds.), Cognitive modeling in perception and memory: a festschrift for Richard M. Shiffrin (pp. 189-200). (Psychology Press festschrifts). New York/London: Psychology Press. [details]

Love, J., Selker, R., Verhagen, J., Marsman, M., Gronau, Q. F., Jamil, T., Smira, M., Epskamp, S., Wild, A., Ly, A., Matzke, D., Wagenmakers, E-J., Morey, R. D., & Rouder, J. N. (2015). Software to sharpen your stats. APS Observer, 28(3), 27-29. http://www.psychologicalscience.org/index.php/publications/observer/2015/march-15/bayes-or-bust-with-new-softwares.html [details]
Download

Matzke, D., Dolan, C. V., Batchelder, W. H., & Wagenmakers, E-J. (2015). Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika, 80(1), 205-235. https://doi.org/10.1007/s11336-013-9374-9 [details]
Download

Matzke, D., Nieuwenhuis, S., van Rijn, H., Slagter, H. A., van der Molen, M. W., & Wagenmakers, E-J. (2015). The effect of horizontal eye movements on free recall: A preregistered adversarial collaboration. Journal of Experimental Psychology. General, 144(1), e1-e15. https://doi.org/10.1037/xge0000038 [details]
Download

Nieuwenstein, M. R., Wierenga, T., Morey, R. D., Wicherts, J. M., Blom, T. N., Wagenmakers, E-J., & van Rijn, H. (2015). On making the right choice: A meta-analysis and large-scale replication attempt of the unconscious thought advantage. Judgment and Decision Making, 10(1), 1-17. [details]
Downloads
494286
Supplementary files
494286 supplement

Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., ... Yarkoni, T. (2015). Promoting an open research culture. Science, 348(6242), 1422-1425. https://doi.org/10.1126/science.aab2374 [details]

Nuijten, M. B., Wetzels, R., Matzke, D., Dolan, C. V., & Wagenmakers, E-J. (2015). A default Bayesian hypothesis test for mediation. Behavior Research Methods, 47(1), 85-97. https://doi.org/10.3758/s13428-014-0470-2 [details]
Downloads
437737
Supplementary files
13428 2014 470 MOESM1 ESM
13428 2014 470 MOESM2 ESM
13428 2014 470 MOESM3 ESM

Rotteveel, M., Gierholz, A., Koch, G., van Aalst, C., Pinto, Y., Matzke, D., ... Wagenmakers, E-J. (2015). On the automatic link between affect and tendencies to approach and avoid: Chen and Bargh (1999) revisited. Frontiers in Psychology, 6, [335]. https://doi.org/10.3389/fpsyg.2015.00335 [details]
Downloads
494112
Supplementary files
494112 supplement

Steingroever, H., Fridberg, D., Horstmann, A., Kjome, K., Kumari, V., Lane, S. D., ... Wagenmakers, E-J. (2015). Data from 617 healthy participants performing the Iowa gambling task: A "many labs" collaboration. Journal of Open Psychology Data, 3(1), [e5]. https://doi.org/10.5334/jopd.ak [details]
Download

Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2015). ŵ=.2, â=.8, ĉ=.6: So what? On the meaning of parameter estimates from reinforcement-learning models. Decision, 2(3), 228-235. https://doi.org/10.1037/dec0000034 [details]

Terry, A., Marley, A. A. J., Barnwal, A., Wagenmakers, E. J., Heathcote, A., & Brown, S. D. (2015). Generalising the drift rate distribution for linear ballistic accumulators. Journal of Mathematical Psychology, 68-69, 49-58. https://doi.org/10.1016/j.jmp.2015.09.002 [details]

Vandekerckhove, J., Matzke, D., & Wagenmakers, E-J. (2015). Model comparison and the principle of parsimony. In J. R. Busemeyer, Z. Wang, J. T. Townsend, & A. Eidels (Eds.), The Oxford handbook of computational and mathematical psychology (pp. 300-319). (Oxford library of psychology). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199957996.013.14 [details]

Wagenmakers, E-J. (2015). A quartet of interactions. Cortex, 73, 334-335. https://doi.org/10.1016/j.cortex.2015.07.031 [details]

Wagenmakers, E-J., Beek, T. F., Rotteveel, M., Gierholz, A., Matzke, D., Steingroever, H., Ly, A., Verhagen, 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 analysis. Frontiers in Psychology, 6, [494]. https://doi.org/10.3389/fpsyg.2015.00494 [details]
Download

Wagenmakers, E-J., Verhagen, J., Ly, A., Bakker, M., Lee, M. D., Matzke, D., Rouder, J. N., & Morey, R. D. (2015). A power fallacy. Behavior Research Methods, 47(4), 913-917. https://doi.org/10.3758/s13428-014-0517-4 [details]
Download

Wagenmakers, E-J., Wetzels, R., Borsboom, D., Kievit, R. A., & van der Maas, H. L. J. (2015). A skeptical eye on psi. In E. C. May, & S. B. Marwaha (Eds.), Extrasensory perception: Support, skepticism, and science (pp. 153-176). Praeger. https://doi.org/10.31234/osf.io/syq2h [details]
Download

van Elk, M., Matzke, D., Gronau, Q. F., Guan, M., Vandekerckhove, J., & Wagenmakers, E-J. (2015). Meta-analyses are no substitute for registered replications: a skeptical perspective on religious priming. Frontiers in Psychology, 6, [1365]. https://doi.org/10.3389/fpsyg.2015.01365 [details]
Download

2014

Heathcote, A., Wagenmakers, E-J., & Brown, S. D. (2014). The falsifiability of actual decision-making models. Psychological Review, 121(4), 676-678. https://doi.org/10.1037/a0037771 [details]

Hoekstra, R., Morey, R. D., Rouder, J. N., & Wagenmakers, E-J. (2014). Robust misinterpretation of confidence intervals. Psychonomic Bulletin & Review, 21(5), 1157-1164. https://doi.org/10.3758/s13423-013-0572-3 [details]

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(1), 66-95. https://doi.org/10.1037/a0035230 [details]

Morey, R. D., & Wagenmakers, E-J. (2014). Simple relation between Bayesian order-restricted and point-null hypothesis tests. Statistics & Probability Letters, 92, 121-124. https://doi.org/10.1016/j.spl.2014.05.010 [details]

Morey, R. D., Rouder, J. N., Verhagen, J., & Wagenmakers, E-J. (2014). Why hypothesis tests are essential for psychological science: A comment on Cumming (2014). Psychological Science, 25(6), 1289-1290. https://doi.org/10.1177/0956797614525969 [details]

Munafò, M., Noble, S., Browne, W. J., Brunner, D., Button, K., Ferreira, J., ... Blumenstein, R. (2014). Scientific rigor and the art of motorcycle maintenance. Nature Biotechnology, 32(9), 871-873. https://doi.org/10.1038/nbt.3004 [details]

Steingroever, H., & Wagenmakers, E-J. (2014). Performance and awareness in the Iowa Gambling Task. Behavioral and Brain Sciences, 37(1), 41-42. https://doi.org/10.1017/S0140525X13000861 [details]

Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2014). Absolute performance of reinforcement-learning models for the Iowa Gambling Task. Decision, 1(3), 161-183. https://doi.org/10.1037/dec0000005 [details]

Verhagen, J., & Wagenmakers, E-J. (2014). Bayesian tests to quantify the result of a replication attempt. Journal of Experimental Psychology. General, 143(4), 1457-1475. https://doi.org/10.1037/a0036731 [details]
Download

Wagenmakers, E-J., & Forstmann, B. U. (2014). Rewarding high-power replication research. Cortex, 51, 105-106. https://doi.org/10.1016/j.cortex.2013.09.010 [details]

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(3), 777-784. https://doi.org/10.3758/s13423-013-0551-8 [details]

Zhang, S., Lee, M. D., Vandekerckhove, J., Maris, G., & Wagenmakers, E-J. (2014). Time-varying boundaries for diffusion models of decision making and response time. Frontiers in Psychology, 5, [1364]. https://doi.org/10.3389/fpsyg.2014.01364 [details]
Download

de Groot, A. D., Wagenmakers, E-J., Borsboom, D., Verhagen, J., Kievit, R., Bakker, M., Cramer, A., Matzke, D., Mellenbergh, D., & van der Maas, H. L. J. (2014). The meaning of "significance" for different types of research. Acta Psychologica, 148, 188-194. https://doi.org/10.1016/j.actpsy.2014.02.001 [details]

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(12), [e115700]. https://doi.org/10.1371/journal.pone.0115700 [details]
Download

van Ravenzwaaij, D., Boekel, W., Forstmann, B. U., Ratcliff, R., & Wagenmakers, E-J. (2014). Action video games do not improve the speed of information processing in simple perceptual tasks. Journal of Experimental Psychology. General, 143(5), 1794-1805. https://doi.org/10.1037/a0036923 [details]

2013

Dutilh, G., Forstmann, B., Vandekerckhove, J., & Wagenmakers, E-J. (2013). A diffusion model account of age differences in post-error slowing. Psychology and Aging, 28(1), 64-76. https://doi.org/10.1037/a0029875 [details]

Matzke, D., Dolan, C. V., Logan, G. D., Brown, S. D., & Wagenmakers, E-J. (2013). Bayesian parametric estimation of stop-signal reaction time distributions. Journal of Experimental Psychology. General, 142(4), 1047-1073. https://doi.org/10.1037/a0030543 [details]

Matzke, D., Love, J., Wiecki, T. V., Brown, S. D., Logan, G. D., & Wagenmakers, E-J. (2013). Release the BEESTS: Bayesian Estimation of Ex-Gaussian STop-Signal reaction time distributions. Frontiers in Psychology, 4, [918]. https://doi.org/10.3389/fpsyg.2013.00918 [details]
Download

Mulder, M. J., Keuken, M. C., van Maanen, L., Boekel, W. E., Forstmann, B. U., & Wagenmakers, E. J. (2013). The speed and accuracy of perceptual decisions in a random-tone pitch task. Attention, Perception & Psychophysics, 75(5), 1048-1058. https://doi.org/10.3758/s13414-013-0447-8 [details]

Scheibehenne, B., Rieskamp, J., & Wagenmakers, E-J. (2013). Testing adaptive toolbox models: a Bayesian hierarchical approach. Psychological Review, 120(1), 39-64. https://doi.org/10.1037/a0030777 [details]

Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2013). A comparison of reinforcement learning models for the Iowa Gambling Task using parameter space partitioning. The Journal of Problem Solving, 5(2), 2. [2]. https://doi.org/10.7771/1932-6246.1150 [details]
Download

Steingroever, H., Wetzels, R., & Wagenmakers, E-J. (2013). Validating the PVL-Delta model for the Iowa gambling task. Frontiers in Psychology, 4, [898]. https://doi.org/10.3389/fpsyg.2013.00898 [details]
Download

Steingroever, H., Wetzels, R., Horstmann, A., Neumann, J., & Wagenmakers, E-J. (2013). Performance of healthy participants on the Iowa Gambling Task. Psychological Assessment, 25(1), 180-193. https://doi.org/10.1037/a0029929 [details]

Turner, B. M., Forstmann, B. U., Wagenmakers, E-J., Brown, S. D., Sederberg, P. B., & Steyvers, M. (2013). A Bayesian framework for simultaneously modeling neural and behavioral data. NeuroImage, 72, 193-206. https://doi.org/10.1016/j.neuroimage.2013.01.048 [details]

2012

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(2), 454-465. https://doi.org/10.3758/s13414-011-0243-2 [details]

Dutilh, G., van Ravenzwaaij, D., Nieuwenhuis, S., van der Maas, H. L. J., Forstmann, B. U., & Wagenmakers, E-J. (2012). How to measure post-error slowing: A confound and a simple solution. Journal of Mathematical Psychology, 56(3), 208-216. https://doi.org/10.1016/j.jmp.2012.04.001 [details]

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 Psychology, 3, [334]. https://doi.org/10.3389/fpsyg.2012.00334 [details]
Download

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(2), 339-348. https://doi.org/10.3758/s13423-012-0216-z [details]

Hawkins, G., Brown, S. D., Steyvers, M., & Wagenmakers, E-J. (2012). Context effects in multi-alternative decision making: Empirical data and a Bayesian model. Cognitive Science, 36(3), 498-516. https://doi.org/10.1111/j.1551-6709.2011.01221.x [details]

Hawkins, G., Brown, S. D., Steyvers, M., & Wagenmakers, E-J. (2012). Decision speed induces context effects in choice. Experimental Psychology, 59(4), 206-215. https://doi.org/10.1027/1618-3169/a000145 [details]

Ho, T., Brown, S., van Maanen, L., Forstmann, B. U., Wagenmakers, E-J., & Serences, J. T. (2012). The optimality of sensory processing during the speed-accuracy tradeoff. The Journal of Neuroscience, 32(23), 7992-8003. https://doi.org/10.1523/JNEUROSCI.0340-12.2012 [details]

Huizenga, H. M., Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E-J. (2012). Four empirical tests of Unconscious Thought Theory. Organizational Behavior and Human Decision Processes, 117(2), 332-340. https://doi.org/10.1016/j.obhdp.2011.11.010 [details]

Jepma, M., Wagenmakers, E-J., & Nieuwenhuis, S. (2012). Temporal expectation and information processing: A model-based analysis. Cognition, 122(3), 426-441. https://doi.org/10.1016/j.cognition.2011.11.014 [details]

Mulder, M. J., Wagenmakers, E-J., Ratcliff, R., Boekel, W., & Forstmann, B. U. (2012). Bias in the brain: A diffusion model analysis of prior probability and potential payoff. The Journal of Neuroscience, 32(7), 2335-2343. https://doi.org/10.1523/JNEUROSCI.4156-11.2012 [details]

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 malingering. Archives of Clinical Neuropsychology, 27(4), 453-465. https://doi.org/10.1093/arclin/acs038 [details]

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(2), 145-160. https://doi.org/10.3758/s13421-011-0158-0 [details]
Download

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(6), 632-638. https://doi.org/10.1177/1745691612463078 [details]

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 systems. Topics in Cognitive Science, 4(1), 87-93. https://doi.org/10.1111/j.1756-8765.2011.01164.x [details]

Wetzels, R., & Wagenmakers, E. J. (2012). A default Bayesian hypothesis test for correlations and partial correlations. Psychonomic Bulletin & Review, 19(6), 1057-1064. https://doi.org/10.3758/s13423-012-0295-x [details]
Download

Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E. J. (2012). A default Bayesian hypothesis test for ANOVA designs. American Statistician, 66(2), 104-111. https://doi.org/10.1080/00031305.2012.695956 [details]

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 Neuroscience, 5, [143]. https://doi.org/10.3389/fnins.2011.00143 [details]
Download

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(4), 739-753. https://doi.org/10.3758/s13414-011-0267-7 [details]

van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E-J. (2012). A diffusion model decomposition of the effects of alcohol on perceptual decision making. Psychopharmacology, 219(4), 1017-1025. https://doi.org/10.1007/s00213-011-2435-9 [details]

van Ravenzwaaij, D., Mulder, M. J., Tuerlinckx, F., & Wagenmakers, E-J. (2012). Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test. Frontiers in Psychology, 3, [132]. https://doi.org/10.3389/fpsyg.2012.00132 [details]
Download

van Ravenzwaaij, D., van der Maas, H. L. J., & Wagenmakers, E-J. (2012). Optimal decision making in neural inhibition models. Psychological Review, 119(1), 201-215. https://doi.org/10.1037/a0026275 [details]

2011

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(1), 61-69. https://doi.org/10.3758/s13423-010-0022-4 [details]
Download

Dutilh, G., Krypotos, A-M., & Wagenmakers, E-J. (2011). Task-related versus stimulus-speciﬁc practice: a diffusion model account. Experimental Psychology, 58(6), 434-442. https://doi.org/10.1027/1618-3169/a000111 [details]

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(2), 211-250. https://doi.org/10.1111/j.1551-6709.2010.01147.x [details]

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 approach. The Journal of Neuroscience, 31(47), 17242-17249. https://doi.org/10.1523/JNEUROSCI.0309-11.2011 [details]
Download

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(6), 272-279. https://doi.org/10.1016/j.tics.2011.04.002 [details]

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(5), 331-347. https://doi.org/10.1016/j.jmp.2011.06.001 [details]

Nieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E-J. (2011). Erroneous analyses of interactions in neuroscience: a problem of significance. Nature Neuroscience, 14(9), 1105-1107. https://doi.org/10.1038/nn.2886 [details]

Nilsson, H., Rieskamp, J., & Wagenmakers, E-J. (2011). Hierarchical Bayesian parameter estimation for cumulative prospect theory. Journal of Mathematical Psychology, 55(1), 84-93. https://doi.org/10.1016/j.jmp.2010.08.006 [details]

Stringer, S., Borsboom, D., & Wagenmakers, E-J. (2011). Bayesian inference for the information gain model. Behavior Research Methods, 43(2), 297-309. https://doi.org/10.3758/s13428-010-0057-5 [details]
Download

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. Journal of Personality and Social Psychology, 100(3), 426-432. https://doi.org/10.1037/a0022790 [details]

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(3), 291-298. https://doi.org/10.1177/1745691611406923 [details]

van Maanen, L., Brown, S. D., Eichele, T., Wagenmakers, E-J., Ho, T., Serences, J., & Forstmann, B. U. (2011). Neural correlates of trial-to-trial fluctuations in response caution. The Journal of Neuroscience, 31(48), 17488-17495. https://doi.org/10.1523/JNEUROSCI.2924-11.2011 [details]

van Ravenzwaaij, D., Brown, S., & Wagenmakers, E-J. (2011). An integrated perspective on the relation between response speed and intelligence. Cognition, 119(3), 381-393. https://doi.org/10.1016/j.cognition.2011.02.002 [details]

van Ravenzwaaij, D., Dutilh, G., & Wagenmakers, E-J. (2011). Cognitive model decomposition of the BART: assessment and application. Journal of Mathematical Psychology, 55(1), 94-105. https://doi.org/10.1016/j.jmp.2010.08.010 [details]

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(4), 271-277. https://doi.org/10.1027/1618-3169/a000093 [details]

2010

Bogacz, R., Wagenmakers, E. J., Forstmann, B. U., & Nieuwenhuis, S. (2010). The neural basis of the speed-accuracy tradeoff. Trends in Neurosciences, 33(1), 10-16. https://doi.org/10.1016/j.tins.2009.09.002 [details]

Forstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S., Wagenmakers, E. M., ... Turner, R. (2010). Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proceedings of the National Academy of Sciences of the United States of America, 107(36), 15916-15920. https://doi.org/10.1073/pnas.1004932107 [details]

Forstmann, B. U., Brown, S., Dutilh, G., Neumann, J., & Wagenmakers, E-J. (2010). The neural substrate of prior information in perceptual decision making: a model-based analysis. Frontiers in Human Neuroscience, 4, [40]. https://doi.org/10.3389/fnhum.2010.00040 [details]
Download

Heathcote, A., Brown, S., Wagenmakers, E-J., & Eidels, A. (2010). Distribution-free tests of stochastic dominance for small samples. Journal of Mathematical Psychology, 54(5), 454-463. https://doi.org/10.1016/j.jmp.2010.06.005 [details]

Iverson, G. J., Lee, M. D., & Wagenmakers, E-J. (2010). The random effects prep continues to mispredict the probability of replication. Psychonomic Bulletin & Review, 17(2), 270-272. https://doi.org/10.3758/PBR.17.2.270 [details]

Iverson, G. J., Wagenmakers, E-J., & Lee, M. D. (2010). A model-averaging approach to replication: the case of prep. Psychological Methods, 15(2), 172-181. https://doi.org/10.1037/a0017182 [details]

Jepma, M., te Beek, E. T., Wagenmakers, E-J., van Gerven, J. M. A., & Nieuwenhuis, S. (2010). The role of the noradrenergic system in the exploration-exploitation trade-off: a psychopharmacological study. Frontiers in Human Neuroscience, 4, [170]. https://doi.org/10.3389/fnhum.2010.00170 [details]
Download

Wagenmakers, E-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010). Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method. Cognitive Psychology, 60(3), 158-189. https://doi.org/10.1016/j.cogpsych.2009.12.001 [details]

Wetzels, R., & Wagenmakers, E-J. (2010). Exemplary introduction to Bayesian statistical inference [Review of: I. Ntzoufras (2009) Bayesian modeling using WinBUGS]. Journal of Mathematical Psychology, 54(5), 466-469. https://doi.org/10.1016/j.jmp.2010.02.002 [details]

Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E-J. (2010). An encompassing prior generalization of the Savage-Dickey density ratio. Computational Statistics and Data Analysis, 54(9), 2094-2102. https://doi.org/10.1016/j.csda.2010.03.016 [details]

Wetzels, R., Lee, M. D., & Wagenmakers, E-J. (2010). Bayesian inference using WBDev: a tutorial for social scientists. Behavior Research Methods, 42(3), 884-897. https://doi.org/10.3758/BRM.42.3.884 [details]

Wetzels, R., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E-J. (2010). Bayesian parameter estimation in the Expectancy Valence model of the Iowa gamblling task. Journal of Mathematical Psychology, 54(1), 14-27. https://doi.org/10.1016/j.jmp.2008.12.001 [details]

2009

Dutilh, G., Vandekerckhove, J., Tuerlinckx, F., & Wagenmakers, E-J. (2009). A diffusion model decomposition of the practice effect. Psychonomic Bulletin & Review, 16(6), 1026-1036. https://doi.org/10.3758/16.6.1026 [details]

Grasman, R. P. P. P., Wagenmakers, E-J., & van der Maas, H. L. J. (2009). On the mean and variance of response times under the diffusion model with an application to parameter estimation. Journal of Mathematical Psychology, 53(2), 55-68. https://doi.org/10.1016/j.jmp.2009.01.006 [details]

Grasman, R. P. P. P., van der Maas, H. L. J., & Wagenmakers, E-J. (2009). Fitting the cusp catastrophe in R: a cusp-package primer. Journal of Statistical Software, 32(8), 1-28. http://www.jstatsoft.org/v32/i08/paper [details]
Download

Iverson, G. J., Lee, M. D., Zhang, S., & Wagenmakers, E-J. (2009). prep: an agony in five fits. Journal of Mathematical Psychology, 53(4), 195-202. https://doi.org/10.1016/j.jmp.2008.09.004 [details]

Iverson, G., Lee, M. D., & Wagenmakers, E-J. (2009). prep misestimates the probability of replication. Psychonomic Bulletin & Review, 16(2), 424-429. https://doi.org/10.3758/PBR.16.2.424 [details]

Jepma, M., Wagenmakers, E-J., Band, G. P. H., & Nieuwenhuis, S. (2009). The effects of accessory stimuli on information processing: evidence from electrophysiology and a diffusion model analysis. Journal of Cognitive Neuroscience, 21(5), 847-864. https://doi.org/10.1162/jocn.2009.21063 [details]
Download

Matzke, D., & Wagenmakers, E-J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: a diffusion model analysis. Psychonomic Bulletin & Review, 16(5), 798-817. https://doi.org/10.3758/PBR.16.5.798 [details]

Steyvers, M., Lee, M. D., & Wagenmakers, E-J. (2009). A Bayesian analysis of human decision-making on bandit problems. Journal of Mathematical Psychology, 53(3), 168-179. https://doi.org/10.1016/j.jmp.2008.11.002 [details]

Torre, K., & Wagenmakers, E-J. (2009). Theories and models for 1/fβ noise in human movement science. Human Movement Science, 28(3), 297-318. https://doi.org/10.1016/j.humov.2009.01.001 [details]

Wagenmakers, E-J. (2009). Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy. European Journal of Cognitive Psychology, 21(5), 641-671. https://doi.org/10.1080/09541440802205067 [details]

Wetzels, R., Raaijmakers, J. G. W., Jakab, E., & Wagenmakers, E-J. (2009). How to quantify support for and against the null hypothesis: a flexible winBUGS implementation of a default Bayesian t-test. Psychonomic Bulletin & Review, 16(4), 752-760. https://doi.org/10.3758/PBR.16.4.752 [details]

2008

Ahn, W-Y., Busemeyer, J. R., Wagenmakers, E-J., & Stout, J. C. (2008). Comparison of decision learning models using the generalization criterion method. Cognitive Science, 32, 1376-1402. https://doi.org/10.1080/03640210802352992 [details]

Forstmann, B. U., Dutilh, G., Brown, S., Neumann, J., von Cramon, D. Y., Ridderinkhof, K. R., & Wagenmakers, E-J. (2008). Striatum and pre-SMA facilitate decision-making under time pressure. Proceedings of the National Academy of Sciences of the United States of America, 105(45), 17538-17542. https://doi.org/10.1073/pnas.0805903105 [details]

Shiffrin, R. M., Lee, M. D., Kim, W., & Wagenmakers, E-J. (2008). A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cognitive Science, 32, 1248-1284. https://doi.org/10.1080/03640210802414826 [details]

Wagenmakers, E-J., Ratcliff, R., Gomez, P., & McKoon, G. (2008). A diffusion model account of criterion shifts in the lexical decision task. Journal of Memory and Language, 58(1), 140-159. https://doi.org/10.1016/j.jml.2007.04.006 [details]

Wagenmakers, E-J., van der Maas, H. L. J., Dolan, C. V., & Grasman, R. P. P. P. (2008). EZ does it! Extensions of the EZ-diffusion model. Psychonomic Bulletin & Review, 15, 1229-1235. https://doi.org/10.3758/PBR.15.6.1229 [details]
2021

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 and Behavior, 49(3), 265-275. https://doi.org/10.3758/s13420-021-00474-5 [details]
Download

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 of the United States of America, 118(6), [e2022718118]. https://doi.org/10.1073/pnas.2022718118 [details]

Wagenmakers, E. J. (2021). Defiant Denial is Self-Defeating. Psychological Inquiry, 32(1), 12-16. https://doi.org/10.1080/1047840X.2021.1889314 [details]

van Doorn, J., & Wagenmakers, E-J. (2021). Strong public claims may not reflect researchers' private convictions. Significance, 18(1), 44-45. https://doi.org/10.1111/1740-9713.01493 [details]

2020

Aczel, B., Hoekstra, R., Gelman, A., Wagenmakers, E-J., Klugkist, I. G., Rouder, J. N., Vandekerckhove, J., Lee, M. D., Morey, R. D., Vanpaemel, W., Dienes, Z., & van Ravenzwaaij, D. (2020). Discussion points for Bayesian inference. Nature Human Behaviour, 4(6), 561–563. https://doi.org/10.1038/s41562-019-0807-z [details]

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., ... Wagenmakers, E-J. (2020). A consensus-based transparency checklist. Nature Human Behaviour, 4(1), 4-6. https://doi.org/10.1038/s41562-019-0772-6 [details]
Downloads
s41562-019-0772-6
Supplementary files
41562 2019 772 MOESM1 ESM

Bartoš, F., Maier, M., & Wagenmakers, E. M. (2020). Adjusting for Publication Bias in JASP — Selection Models and Robust Bayesian Meta-Analysis. (PsyArXiv). https://doi.org/10.31234/osf.io/75bqn

Forscher, P. S., Wagenmakers, E. M., Coles, N. A., Silan, M. A., Dutra, N., Basnight-Brown, D., & IJzerman, H. (2020). A Manifesto for Big Team Science. (PsyArXiv). https://doi.org/10.31234/osf.io/2mdxh

Heck, D. W., Böhm, U., Böing-Messing, F., Bürkner, P-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2020). A review of applications of the Bayes factor in psychological research. (PsyArXiv). https://doi.org/10.31234/osf.io/cu43g

Hulme, O. J., Wagenmakers, E. M., Damkier, P., Madelung, C. F., Siebner, H. R., Helweg-Larsen, J., Gronau, Q. F., Benfield, T., & Madsen, K. H. (2020). 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.

Hutton, J. L., Diggle, P. J., Bird, S. M., Hennig, C., Longford, N., Mathur, M. B., Vander Weele, T. J., Ioannidis, J. P. A., Chai, C. P., Dowe, D. L., Ferguson, J., Fitz-Simon, N., Friede, T., Rover, C., Grieve, A. P., Kumar, K., Ly, A., Mansmann, U., Mateu, J., ... Held, L. (2020). Discussion on the meeting on ‘Signs and sizes: understanding and replicating statistical findings’. Journal of the Royal Statistical Society. Series A (Statistics in Society), 183(2), 449-469. https://doi.org/10.1111/rssa.12544 [details]

Maier, M., Bartoš, F., & Wagenmakers, E. M. (2020). Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging. (PsyArXiv). https://doi.org/10.31234/osf.io/u4cns

Stefan, A. M., Schönbrodt, F. D., Evans, N. J., & Wagenmakers, E. M. (2020). Efficiency in Sequential Testing: Comparing the Sequential Probability Ratio Test and the Sequential Bayes Factor Test. (PsyArXiv). https://doi.org/10.31234/osf.io/ry4fw

Wagenmakers, E-J. (2020). Statistical dark arts endanger democracy — and life: Two scourges of the infodemic show how to spot quantitative chicanery. [Review of: C.T. Bergstrom, J.D. West (2020) Calling Bullshit: The Art of Scepticism in a Data‑Driven World]. Nature, 584(7819), 36. https://doi.org/10.1038/d41586-020-02280-x [details]

van Dongen, N. N. N., Wagenmakers, E. M., & Sprenger, J. (2020). A Bayesian Perspective on Severity: Risky Predictions and Specific Hypotheses. (PsyArXiv). https://doi.org/10.31234/osf.io/4et65

2019

Haaf, J. M., Ly, A., & Wagenmakers, E-J. (2019). Retire significance, but still test hypotheses. Nature, 567(7749), 461. https://doi.org/10.1038/d41586-019-00972-7 [details]
Download

Wagenmakers, E. M., Gronau, Q. F., & Vandekerckhove, J. (2019). Five Bayesian Intuitions for the Stopping Rule Principle. (PsyArXiv). https://doi.org/10.31234/osf.io/5ntkd

2018

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., ... Johnson, V. E. (2018). Redefine statistical significance. Nature Human Behaviour, 2(1), 6-10. https://doi.org/10.1038/s41562-017-0189-z

2017

Keuken, M. C., Ly, A., Boekel, W., Wagenmakers, E-M., Belay, L., Verhagen, J., Brown, S. D., & Forstmann, B. U. (2017). Corrigendum to “A purely confirmatory replication study of structural brain-behavior correlations” [Cortex 66 (2015) 115–133]. Cortex, 93, 229-233. https://doi.org/10.1016/j.cortex.2017.03.007 [details]

2016

Marsman, M., Ly, A., & Wagenmakers, E-J. (2016). Four Requirements for an Acceptable Research Program. Basic and Applied Social Psychology, 38(6), 308-312. https://doi.org/10.1080/01973533.2016.1221349 [details]

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(1), 131-140. https://doi.org/10.3758/s13423-015-0955-8 [details]
Download

2015

Forstmann, B. U., & Wagenmakers, E-J. (2015). An introduction to model-based cognitive neuroscience. Springer. https://doi.org/10.1007/978-1-4939-2236-9 [details]

2013

Bakker, M., Cramer, A. O. J., Matzke, D., Kievit, R. A., van der Maas, H. L. J., Wagenmakers, E-J., & Borsboom, D. (2013). Dwelling on the past. European Journal of Personality, 27(2), 120-144. https://doi.org/10.1002/per.1920 [details]

Bakker, M., Wagenmakers, E-J., Borsboom, D., Wicherts, J., & van der Maas, H. (2013). Spelregels in de psychologie: over eerlijk en goed onderzoek. De Psycholoog, 48(12), 68-76. [details]

Wagenmakers, E-J. (2013). Sjoemelwetenschap. De Psycholoog, 48(4), 34-35. [details]

2011

Borsboom, D., Wagenmakers, E-J., & Romeijn, J-W. (2011). Mechanistic curiosity will not kill the Bayesian cat. Behavioral and Brain Sciences, 34(4), 192-193. https://doi.org/10.1017/S0140525X11000215 [details]

Wagenmakers, E-J. (2011). Kleren voor de keizer [Bespreking van: R. van de Schoot (2010) Informative hypotheses: how to move beyond classical null hypothesis testing]. De Psycholoog, 46(1), 21-22. [details]

2009

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

2008

Wagenmakers, E-J., Lee, M. D., Lodewyckx, T., & Iverson, G. (2008). Bayesian versus frequentist inference. In H. Hoijtink, I. Klugkist, & P. A. Boelen (Eds.), Bayesian evaluation of informative hypotheses (pp. 181-207). (Statistics for Social and Behavioral Sciences). Springer. https://doi.org/10.1007/978-0-387-09612-4_9 [details]
2021

Wagenmakers, E-M. (2021). [Review of: A. Clayton (2021) Bernoulli’s Fallacy : Statistical Illogic and the Crisis of Modern Science]. CHANCE, 34(4), 37-38. https://doi.org/10.1080/09332480.2021.2003642 [details]

Wagenmakers, E. M., Ly, A., van den Bergh, D., & Bartoš, F. (2021). Bayesian inference with JASP. ISBA Bulletin, 28(1), 7-15.

2019

Wagenmakers, E-J. (2019). Het belang van Brady versus Maryland voor de psychologie. De Psycholoog, 54(12), 24-28. https://osf.io/6w4zn/ [details]

Wagenmakers, E-J. (2019). Het plagiaat van Lord Francis Bacon. Skepter, 32(2), 43-46. https://skepsis.nl/bacon/ [details]

Wagenmakers, E-J. (2019). Prins op een missie: [Boekbespreking van: C. Chambers (2018) De 7 doodzonden van de psychologie: pleidooi voor een cultuuromslag in de wetenschappelijke praktijk]. De Psycholoog, 54(3), 28-29. https://osf.io/uvw83/ [details]

2016

Wagenmakers, E-J. (2016). [Review of: R.B. Kline (2013) Beyond significance testing: Statistics reform in the behavioral sciences]. American Statistician, 70(2), 221. https://doi.org/10.1080/00031305.2016.1185863 [details]

Wagenmakers, E-J., & Dutilh, G. (2016). Preregistration: Why, what, where? Psychology Research Institute of the University of Amsterdam.
Download

2013

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

2009

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

2008

Wagenmakers, E-J., & van der Maas, H. (2008). [Review of: A.R. Jensen (2006) Clocking the mind: mental chronometry and individual differences]. Intelligence, 36(5), 493-494. https://doi.org/10.1016/j.intell.2007.09.001 [details]
2021

Wagenmakers, E. M. (2021). De grote SKEPTER-skepsistest. Skepter, 34(3), 4-8. https://skepsis.nl/skepter-covers/skepter-34-3-2021/#

2020

Wagenmakers, E. M. (2020). Bayesian Thinking for Toddlers. JASP. https://doi.org/10.31234/osf.io/w5vbp

Wagenmakers, E. M., & Pecher, D. (2020). KoppenEnStaarten2020. Skepter, 33(4), 16-20.

2017

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

2011

Borsboom, D., Wagenmakers, E-J., Kievit, R. A., Wetzels, R., van den Berg, H., & Wicherts, J. M. (2011). Universiteiten en subsidieverstrekkers moeten fraude aanpakken. De Volkskrant.

Kievit, R. A., Borsboom, D., Wagenmakers, E-J., Wicherts, J. M., Wetzels, R., van Harmelen, A-L., & van den Berg, H. (2011). Maatregel om fraude te bemoeilijken brengt enkel voordelen met zich mee. De Volkskrant.
2017

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

2015

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

Ly, A., Marsman, M., & Wagenmakers, E. M. (2015). Jeffreys’s Correlation Test Based on Criteria of Bayarri, Berger, Forte, and Garcia-Donato (2012). Poster session presented at Objective Bayesian Analysis, Valencia, Spain.
Award

Wagenmakers, E. M. (2018). Verbindingsprijs.

Wagenmakers, E. M. & Stefan, A. M. (2018). MaGW research talent (NWO).

Wagenmakers, E. M. & Kucharsky, S. (2018). MaGW research talent (NWO).

Wagenmakers, E. M. (2017). Advanced Grant from the European Research Council (ERC).

Wagenmakers, E. M. (2017). VICI grant from the Netherlands Organisation for Scientific Research (NWO).

Wagenmakers, E. M. (2017). PhD grant from NWO.

Wagenmakers, E.-J. (2013). Dynamic adjustment of response caution in perceptual decision-making..

Wagenmakers, E.-J. (2012). Partner investigator on the Australian Research Council three-year project "Rapid Decisions: From Neuroscience to Complex Cognitions".

Wagenmakers, E.-J. (2012). Partner investigator on the Australian Research Council three-year project "Cognitive Flexibility from Adolescence to Senescence: Variability Associated with Cognitive Strategy and Brain Connectivity"..

Wagenmakers, E.-J. (2012). Inaugural recipient of the Newcastle Psychology Research Visitor Fellowship..

Membership

Wagenmakers, E. M. (2017). Member of the committee on Replication Research (“Replicatieonderzoek”) organized by the Royal Netherlands Academy of Arts and Sciences (KNAW), KNAW.

Wagenmakers, E. M. (2017). Member of Advisory Board, PsychFileDrawer.org project.

Wagenmakers, E. M. (2016-2017). Member of the committee on Replication Research (“Replicatieonderzoek”) organized by the Royal Netherlands Academy of Arts and Sciences (KNAW), (…), KNAW.

Wagenmakers, E.-J. (2010). Keynote: Bayesian model selection in sensometrics., the 10th Conference on Sensometrics, Rotterdam, the Netherlands, July 2010..

Wagenmakers, E.-J. (2010). Subsidie: The "ALW open competition" postdoc project "The neural basis of decision-making with multiple choice alternatives" was awarded a three-year (…), Netherlands Organisation for Scientific Research (NWO).

Journal editor

Wagenmakers, E.-J. (editor) (2015). Psychonomic Bulletin & Review (Journal).

Wagenmakers, E.-J. (editor) (2010). Cognitive Psychology (Journal).

Wagenmakers, E.-J. (editor) (2010). Journal of Mathematical Psychology (Journal).

Wagenmakers, E.-J. (editor) (2010). Psychonomic Bulletin & Review (Journal).

Talk / presentation

Wagenmakers, E. M. (speaker) (15-10-2018). Bayesian inference without tears, Centre International de Rencontres Mathematiques (CIRM).

Wagenmakers, E. M. (speaker) (1-9-2018). Bayesian advantages for the pragmatic researcher, Kongress der Deutschen Gesellschaft für Psychologie, Frankfurt.

Wagenmakers, E. M. (speaker) (30-4-2018). Tip of the iceberg? Revealing hidden uncertainty in cognitive modeling, h-MPT Network Meeting, Mannheim.

Wagenmakers, E. M. (speaker) (20-4-2018). Bayesian inference with JASP, Netherlands Institute for Neuroscience NIN - KNAW.

Wagenmakers, E. M. (speaker) (10-4-2018). The case for radical transparency in statistical reporting, University of Utrecht, Utrecht.

Wagenmakers, E. M. (speaker) (1-4-2018). Bayesian statistics using JASP, VU, Amsterdam.

Wagenmakers, E. M. (speaker) (20-1-2018). The case for radical transparency in statistical reporting., Replication and Reproducibility Event II: Moving Psychological Science Forward , Londen.

Wagenmakers, E. M. (speaker) (12-2017). Barbecue chicken alert!, BITTS.

Wagenmakers, E. M. (speaker) (11-2017). An introduction to JASP, Graduate School Neurosciences Amsterdam (ONWAR) .

Wagenmakers, E. M. (speaker) (11-2017). Hidden pseudoscience: Ailment, diagnosis, and cure, Amsterdam Skeptics in the Pub.

Wagenmakers, E. M. (speaker) (10-2017). The case for radical transparency in statistical reporting, ASA, American Sociological Association.

Wagenmakers, E. M. (speaker) (10-2017). The why and how of testing a point-null hypothesis within a Bayesian framework, TU Delft.

Wagenmakers, E. M. (speaker) (10-2017). Redefine statistical significance with JASP, IMC.

Wagenmakers, E. M. (speaker) (9-2017). JASP/Evidence, BITTS.

Wagenmakers, E. M. (speaker) (9-2017). “JASP Training Course”, 20th Conference of the European Society for Cognitive Psychology (ESCoP).

Wagenmakers, E. M. (speaker) (9-2017). Bayesian statistics without tears, Oxford University.

Wagenmakers, E. M. (speaker) (6-2017). The maximum diagnosticity of the p-value, workshop “Is there a future without null hypothesis significance testing?”.

Wagenmakers, E. M. (speaker) (6-2017). History and statistical foundation of preregistration, Tilburg University.

Wagenmakers, E. M. (speaker) (5-2017). “Bayesian Inference with JASP: A Fresh Way to Do Statistics", 29th Annual Convention of the Association for Psychological Science.

Wagenmakers, E. M. (speaker) (4-2017). “JASP: A Fresh Way to do Statistics”, BBSRC STARS Course “Advanced Methods for Reproducible Science”.

Wagenmakers, E. M. (speaker) (3-2017). “Bayesian Inference in Theory and Practice: A JASP Workshop”, Philips Research.

Wagenmakers, E. M. (speaker) (2-2017). “A personal perspective on the analysis of neuroscience data”, 6th Berlin Winter School on Ethics and Neuroscience.

Wagenmakers, E. M. (speaker) (2017). The methodological metamorphosis of neuroscience, 6th Berlin Winter School on Ethics and Neuroscience.

Wagenmakers, E. M. (speaker) (2017). KNAW report: Replication studies, NAS.

Wagenmakers, E. M. (speaker) (2017). “Bayesian analysis with JASP: A fresh way to do statistics”, Max Planck School for Language Sciences.

Others

van Doorn, J. (organiser), Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Ly, A. (organiser) & Sarafoglou, A. (organiser) (26-8-2019 - 30-8-2019). Ninth Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).

van Doorn, J. (organiser), Wagenmakers, E.-J. (organiser), Sarafoglou, A. (organiser) & Morey, R. D. (organiser) (22-8-2019 - 23-8-2019). Theory and Practice of Bayesian Hypothesis Testing (organising a conference, workshop, ...).

Matzke, D. (organiser), Wagenmakers, E.-J. (organiser) & Tuerlinckx, F. (organiser) (25-3-2019 - 29-3-2019). Erasmus Seminar on Mathematical Psychology: “Formal Models and Quantitative Methods for Psychology” (organising a conference, workshop, ...).

Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Lee, M. (organiser), Ly, A. (organiser), van Doorn, J. B. (organiser) & Gronau, Q. F. (organiser) (20-8-2018 - 24-8-2018). Eight Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).

Wagenmakers, E. M. (organiser), Gronau, Q. F. (organiser), Ly, A. (organiser), van Doorn, J. B. (organiser) & Matzke, D. (organiser) (28-8-2017 - 29-8-2017). Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop (organising a conference, workshop, ...). http://(https://jasp- stats.org/upcoming-events/jasp-workshop/

Wagenmakers, E. M. (organiser), Ly, A. (organiser), Gronau, Q. F. (organiser), van Doorn, J. B. (organiser), Matzke, D. (organiser) & Lee, M. (organiser) (21-8-2017 - 25-8-2017). Seventh Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...). http://bayescourse.socsci.uva.nl/index.php?src=hom e

Wagenmakers, E. M. (participant) (2017). Fellow for the Association for Psychological Science (other).

Wagenmakers, E. M. (consultant) (2017). Statistical consulting, CHDI Foundation (consultancy).

Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Selker, R. (organiser), van Doorn, J. B. (organiser) & Ly, A. (organiser) (2016). Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop (organising a conference, workshop, ...).

Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Selker, R. (organiser), van Doorn, J. B. (organiser), Steingröver, H. M. (organiser), Lee, M. (organiser) & Ly, A. (organiser) (2016). Sixth Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser), Tuerlinckx, F. (organiser) & Matzke, D. (organiser) (22-3-2015 - 28-3-2015). Erasmus-IP Seminar on Mathematical Psychology, Debrecen. Formal Models and Quantitative Methods for Psychology. (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser), Matzke, D. (organiser) & Ly, A. (organiser) (2015). First Annual JASP Workhop: A Fresh Way to do Bayesian Statistics., Amsterdam (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser), Lee, M. D. (organiser), Ly, A. (organiser) & Matzke, D. (organiser) (2015). Fifth Annual WinBUGS Workshop: Bayesian Modeling for Cognitive Science., Amsterdam (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser), Lee, M. D. (organiser), Ly, A. (organiser), Matzke, D. (organiser), Steingroever, H. (organiser) & Verhagen, A. J. (organiser) (11-8-2014 - 15-8-2014). Fourth Annual WinBUGS Workshop: Bayesian Modeling for Cognitive Science., Amsterdam (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Steingröver, H. M. (organiser) & Ly, A. (organiser) (12-8-2013 - 16-8-2013). WinBUGS Workshop: Bayesian Modeling for Cognitive Science., Amsterdam (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Steingröver, H. M. (organiser) & Lee, M. (organiser) (2-7-2012 - 6-7-2012). Organisation of the workshop "Bayesian Modeling for Cognitive Science"., Amsterdam (organising a conference, workshop, ...).

Wagenmakers, E.-J. (organiser) & Forstmann, B. U. (organiser) (2012). Organisation of the Academy Colloquium "New Insights from Model-Based Cognitive Neuroscience", Amsterdam (organising a conference, workshop, ...).

Wagenmakers, E. M. (organiser), Wetzels, R. M. (organiser), Matzke, D. (organiser) & Lee, M. (organiser) (22-8-2011). Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
2017

Steingröver, H. M. (2017). Safe models for risky decisions. [details]
Downloads
Thesis (complete)
Front matter
1. Introduction
2. Performance of healthy participants on the Iowa gambling task
3. A comparison of reinforcement-learning models for the Iowa gambling task using parameter space partitioning
4. Validating the PVL-Delta model for the Iowa gambling task
5. Absolute performance of reinforcement-learning models for the Iowa gambling task
6. ŵ = .2, â = .8, ĉ = .6: So what? On the meaning of parameter estimates from reinforcement-learning models
7. Bayes factors for reinforcement-learning models of the Iowa gambling task
8. A tutorial on bridge sampling
9. Bayesian techniques for analyzing group differences in the Iowa gambling task: A case study of intuitive and deliberate decision makers
10. Using Bayesian regression to incorporate covariates into hierarchical cognitive models
11. Summary and future directions
Appendix A: Performance and awareness in the Iowa gambling task
Appendix B: Data from 617 healthy participants performing the Iowa gambling task: A “Many Labs” collaboration
Appendix C: Appendix to Chapter 4: “Validating the PVL-Delta model for the Iowa gambling task”
Appendix D: Appendix to Chapter 5: “Absolute performance of reinforcement-learning models for the Iowa gambling task”
Appendix E: Appendix to Chapter 7: “Bayes factors for reinforcement-learning models of the Iowa gambling task”
Appendix F: Appendix to Chapter 8: “A tutorial on bridge sampling”
Appendix G: Appendix to Chapter 9: “Bayesian techniques for analyzing group differences in the Iowa gambling task: A case study of intuitive and deliberate decision makers”
Appendix H: Appendix to Chapter 10: “Using Bayesian regression to incorporate covariates into hierarchical cognitive models”
References
Nederlandse Samenvatting
Back matter
2020

Haaf, J. M., Hoogeveen, S., Berkhout, S., Gronau, Q. F., & Wagenmakers, E. M. (2020). A Bayesian Multiverse Analysis of Many Labs 4: Quantifying the Evidence against Mortality Salience. PsyArXiv. https://doi.org/10.31234/osf.io/cb9er

Wagenmakers, E. M., & Gronau, Q. F. (2020). Overwhelming Evidence for Vaccine Efficacy in the Pfizer Trial: An Interim Bayesian Analysis. PsyArXiv. https://doi.org/10.31234/osf.io/fs562

2019

Evans, N. J., Tillman, G., & Wagenmakers, E-J. (2019). Systematic and random sources of variability in perceptual decision-making: Comment on Ratcliff, Voskuilen, and McKoon (2018). (Version 1 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/j98qd [details]
Downloads
Systematic and Random Sources of Variability in Perceptual Decision Making Comment on Ratcliff Voskuilen and McKoon 2019 06 17T12 15 06.428Z version 1
Systematic and Random Sources of Variability in Perceptual Decision Making Comment on Ratcliff Voskuilen and McKoon
2020

Ly, A., Wagenmakers, E.-J. & Gronau, Q. F. (2-4-2020). Informed Bayesian t-Tests. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.7887854.v2

Norcia, A. M., Wagenmakers, E.-J., Scerif, G., Boehm, U. & Manning, C. (1-1-2020). EEG data supporting the published article: Perceptual decision-making in children: Age-related differences and EEG correlates.. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.12378281

Boehm, U., Norcia, A. M., Scerif, G., Manning, C. & Wagenmakers, E.-J. (1-1-2020). Modelling files supporting the published article: Perceptual decision-making in children: Age-related differences and EEG correlates. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.11931714

Boehm, U., Scerif, G., Wagenmakers, E.-J., Manning, C. & Norcia, A. M. (1-1-2020). Collection holding EEG data and modelling files supporting the published article: Perceptual decision-making in children: Age-related differences and EEG correlates.. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.c.5006684.v1

Hinne, M., Gronau, Q. F., van den Bergh, D. & Wagenmakers, E.-J. (2020). A Conceptual Introduction to Bayesian Model Averaging. SAGE Journals. https://doi.org/10.25384/sage.c.5004707.v1

Hinne, M., Gronau, Q. F., van den Bergh, D. & Wagenmakers, E.-J. (2020). HinneOpenPracticesDisclosure – Supplemental material for A Conceptual Introduction to Bayesian Model Averaging. SAGE Journals. https://doi.org/10.25384/sage.12416645.v1

2018

van Doorn, J., Marsman, M., Wagenmakers, E.-J. & Ly, A. (2-10-2018). Bayesian Inference for Kendall's Rank Correlation Coefficient. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.4452449.v1

de Jonge, P., Morey, R., Roest, A. M., Wardenaar, K. J., Monden, R., Wagenmakers, E.-J. & van Ravenzwaaij, D. (1-8-2018). Data for: The comparative evidence basis for the efficacy of second-generation antidepressants in the treatment of depression: A Bayesian Meta-analysis. Mendeley Data. https://doi.org/10.17632/p3k5h38xpn.1

Gronau, Q. F. & Wagenmakers, E.-J. (3-7-2018). Bayesian Evidence Accumulation in Experimental Mathematics: A Case Study of Four Irrational Numbers. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.7123001.v1

2016

Rouder, J. N., Wagenmakers, E.-J. & Morey, R. D. (1-1-2016). Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.2252938.v1

2015

Tio, P., Renkewitz, F., Bell, R., Selterman, D., Thomas, S. L., Martinez, T., Voracek, M., Van Doorn, J., Ostkamp, L., Galak, J., Pipitone, R. ., Epskamp, S., Hodsoll, J., Axt, J., Van Rijn, H., Bartmess, E., Strohminger, N., Beyan, L., Hung, C. O.-Y., … Scholz, S. (1-1-2015). Data from: Estimating the reproducibility of psychological science. Singapore Management University. https://doi.org/10.25440/smu.12062757.v1
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
Ancillary activities
- CHDI
  Consultant

edit contact information edit profile page

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

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2021

2020

2019

2018

2017

2016

2015

2013

2011

2009

2008

2021

2019

2016

2013

2009

2008

2021

2020

2017

2011

2017

2015

Award

Membership

Journal editor

Talk / presentation

Others

2017

2020

2019

2020

2018

2016

2015

Cookie Consent

Necessary

Necessary & Optimalisation

Necessary & Optimalisation & Marketing