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

Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Fotograaf: UvA Persvoorlichting

Bezoekadres
  • Nieuwe Achtergracht 129
  • Kamernummer: 0.29
Postadres
  • Postbus 15906
    1001 NK Amsterdam
  • Publicaties

    2022

    2021

    2020

    2019

    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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]
    • 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]

    2017

    2016

    2015

    2014

    2013

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

    2012

    2011

    2010

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

    2009

    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

    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]
    • 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

    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

    2015

    2013

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

    2011

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

    2009

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

    2008

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

    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.

    2013

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

    2009

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

    2008

    2017

    • 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.

    Prijs

    • 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..

    Lidmaatschap

    • 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).

    Tijdschriftredactie

    • 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).

    Spreker

    • 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.

    Andere

    • 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

    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

    2022

    • Sarafoglou, A., Draws, T., Marsman, M., Wagenmakers, E.-J., van der Heijden, A. & Cornelisse, J. (1-1-2022). sj-docx-1-plj-10.1177_14757257221077307 - Supplemental material for Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project. figshare SAGE Publications. https://doi.org/10.25384/sage.19193397.v1
    • Draws, T., Wagenmakers, E.-J., Marsman, M., van der Heijden, A., Cornelisse, J. & Sarafoglou, A. (1-1-2022). Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project. figshare SAGE Publications. https://doi.org/10.25384/sage.c.5848275.v1

    2021

    • Sharpinskyi, K., Garcia-Willingham, N. E., Lee, K. T., Masicampo, E. J., Ersoff, M., Patel, K., Gibson, B., Nakahara, E., del Rosario, K., Price, M. M., Johnson, H. L., Kaben, J., Michalak, N. M., Hermann, A. D., De Cristofaro, V., Curtis, J., Russ, I. F., Brizi, A., Wills, J. A., … Koole, S. L. (1-1-2021). sj-docx-1-pss-10.1177_0956797621989733 – Supplemental material for A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect. figshare SAGE Publications. https://doi.org/10.25384/sage.16622378.v2
    • Pollak, K. M., Kissell, B. L., Mazara, K., Gloger, E. M., Geraedts, L. F., Eder, A. B., Gineikiene, J., Hermann, A. D., Saunders, B., Ersoff, M., Moeini-Jazani, M., Lohmann, S., Clay, S. L., Maranges, H. M., Baker, M. D., Gieseler, K., Mead, N. L., Findley, M. B., Tonnu, K., … Krishna, A. (1-1-2021). sj-pdf-2-pss-10.1177_0956797621989733 – Supplemental material for A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect. figshare SAGE Publications. https://doi.org/10.25384/sage.17197877.v1
    • Rockwell, R., Findley, M. B., Waugh, C. E., Schmeichel, B. J., Miyake, A., Theodore, D., del Rosario, K., Ainsworth, S. E., McCarthy, S., Pollak, K. M., Alquist, J. L., Eder, A. B., Campbell, C., Wagenmakers, E.-J., Gieseler, K., Curtis, J., Spillane, K., Sherman, J., Loschelder, D. D., … Friese, M. (1-1-2021). A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect. figshare SAGE Publications. https://doi.org/10.25384/sage.c.5619299.v2
    • Capaldi, J., Forgea, V., Spillane, K., Song, Y., Hartsell, B., James, L., van Oldenbeuving, Y., Alquist, J. L., Hermann, A. D., Maranges, H. M., Gineikiene, J., Moeini-Jazani, M., Mead, N. L., Leighton, D. C., Muraven, M., Baker, M. D., Grande, M., vanDellen, M. R., Wiggins, B. J., … Kammrath, L. K. (1-1-2021). A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect. figshare SAGE Publications. https://doi.org/10.25384/sage.c.5619299.v1
    • Kaben, J., Sharpinskyi, K., Lam, C., White, R. A., Muraven, M., Mead, N. L., Grande, M., Diel, K., Chambers, H., Shaw, M., Finley, A. J., Campbell, C., Eyink, J. R., Hodge, J., Meslot, C., Maranges, H. M., Sweeny, K., Gobes, C. M., McCarthy, S., … Friese, M. (1-1-2021). sj-pdf-1-pss-10.1177_0956797621989733 – Supplemental material for A Multisite Preregistered Paradigmatic Test of the Ego-Depletion Effect. figshare SAGE Publications. https://doi.org/10.25384/sage.16622378.v1
    • Wagenmakers, E.-J., Ly, A., van den Bergh, D., Haaf, J. M. & Rouder, J. N. (1-1-2021). sj-pdf-1-amp-10.1177_2515245921992035 – Supplemental material for A Cautionary Note on Estimating Effect Size. figshare SAGE Publications. https://doi.org/10.25384/sage.14245629.v1
    • van den Bergh, D., Haaf, J. M., Wagenmakers, E.-J., Ly, A. & Rouder, J. N. (1-1-2021). A Cautionary Note on Estimating Effect Size. figshare SAGE Publications. https://doi.org/10.25384/sage.c.5344446.v1

    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
    • Hoogeveen, S., Wagenmakers, E.-J. & Sarafoglou, A. (1-1-2020). PredictingReplicability_SupplementalMaterial_Revision – Supplemental material for Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully. figshare SAGE Publications. https://doi.org/10.25384/sage.12845999.v1
    • Sarafoglou, A., Hoogeveen, S. & Wagenmakers, E.-J. (1-1-2020). Hoogeveen_Rev_Open_Practices_Disclosure – Supplemental material for Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully. figshare SAGE Publications. https://doi.org/10.25384/sage.12845996.v1
    • Sarafoglou, A., Wagenmakers, E.-J. & Hoogeveen, S. (1-1-2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully. figshare SAGE Publications. https://doi.org/10.25384/sage.c.5099618.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
    • Silberzahn, R., Molden, D., Lindsay, T. A., Awtrey, E., Witkowiak, M., Yoon, S., Bahn?k, S., Martin, D. P., Wagenmakers, E.-J., Evans, M. H., Pope, B., Nosek, B. A., Kalodimos, J., Robusto, E., Tauber, S., Carlsson, R., Cheung, F., Roderique, H., Hederos, K., … Bannard, C. (1-1-2018). SilberzahnSupplementalMaterial – Supplemental material for Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. figshare SAGE Publications. https://doi.org/10.25384/sage.7007582.v1
    • Gordon-Mckeon, S., Mulder, L. B., Kennedy, D. M., Vianello, M., Nosek, B. A., Morey, R. D., Bannard, C., Sommer, S. A., Wagenmakers, E.-J., Sherman, M. F., Gamez-Djokic, M., Bai, F., Evans, M. H., Hofelich Mohr, M. A. J., Tauber, S., Anselmi, P., Cheung, F., Robusto, E., Molleman, E., … Madan, C. R. (1-1-2018). SilberzahnOpenPracticesDisclosure – Supplemental material for Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. figshare SAGE Publications. https://doi.org/10.25384/sage.7007579.v1
    • Hofelich Mohr, M. A. J., Stafford, T., Sotak, K., Wagenmakers, E.-J., Liverani, S., Fong, N., Uhlmann, E. L., Heene, M., Yoon, S., Christensen, G., H?gden, F., Morey, R. D., Molden, D., Awtrey, E., Sp?rlein, C., Craig, M. A., Nosek, B. A., Sandberg, A., Roderique, H., … Mulder, L. B. (1-1-2018). Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. figshare SAGE Publications. https://doi.org/10.25384/sage.c.4209926.v1
    • Raj, A., Wagenmakers, E.-J., Etz, A., Ly, A., Marsman, M. & Gronau, Q. F. (1-1-2018). Bayesian Reanalyses From Summary Statistics: A Guide for Academic Consumers. figshare SAGE Publications. https://doi.org/10.25384/sage.c.4199435.v1
    • Marsman, M., Wagenmakers, E.-J., Etz, A., Gronau, Q. F., Ly, A. & Raj, A. (1-1-2018). LyOpenPracticesDisclosure – Supplemental material for Bayesian Reanalyses From Summary Statistics: A Guide for Academic Consumers. figshare SAGE Publications. https://doi.org/10.25384/sage.6970412.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
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