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van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E-J. (2023). Bayes Factors for Mixed Models. Computational Brain and Behavior, 6(1), 1–13. https://doi.org/10.1007/s42113-021-00113-2[details]
Donzallaz, M. C., Haaf, J. M., & Stevenson, C. E. (2022). Creative or Not? Hierarchical Diffusion Modeling of the Creative Evaluation Process. Journal of Experimental Psychology: Learning Memory and Cognition. https://doi.org/10.1037/xlm0001177
Hoogeveen, S., Haaf, J. M., Bulbulia, J. A., Ross, R. M., McKay, R., Altay, S., Bendixen, T., Berniūnas, R., Cheshin, A., Gentili, C., Georgescu, R., Gervais, W. M., Hagel, K., Kavanagh, C., Levy, N., Neely, A., Qiu, L., Rabelo, A., Ramsay, J. E., ... van Elk, M. (2022). The Einstein effect provides global evidence for scientific source credibility effects and the influence of religiosity. Nature Human Behaviour, 6(4), 523-535. https://doi.org/10.1038/s41562-021-01273-8[details]
Rouder, J. N., Schnuerch, M., Haaf, J. M., & Morey, R. D. (2022). Principles of Model Specification in ANOVA Designs. Computational Brain and Behavior. https://doi.org/10.1007/s42113-022-00132-7
Schnuerch, M., Haaf, J. M., Sarafoglou, A., & Rouder, J. N. (2022). Meaningful Comparisons With Ordinal-Scale Items. Collabra: Psychology, 8, [38594]. https://doi.org/10.1525/collabra.38594[details]
Van Geert, E., Moors, P., Haaf, J., & Wagemans, J. (2022). Same stimulus, same temporal context, different percept? Individual differences in hysteresis and adaptation when perceiving multistable dot lattices. I-Perception, 13(4). https://doi.org/10.1177/20416695221109300[details]
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]
Haaf, J. M., Rhodes, S., Naveh-Benjamin, M., Sun, T., Snyder, H. K., & Rouder, J. N. (2021). Revisiting the remember-know task: Replications of Gardiner and Java (1990). Memory & Cognition, 49(1), 46-66. https://doi.org/10.3758/s13421-020-01073-x[details]
Rouder, J. N., & Haaf, J. M. (2021). Are there reliable qualitative individual difference in cognition? Journal of Cognition, 4(1), [46]. https://doi.org/10.5334/JOC.131[details]
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
Tierney, W., Hardy, J., Ebersole, C. R., Viganola, D., Clemente, E. G., Gordon, M., Hoogeveen, S., Haaf, J., Dreber, A., Johannesson, M., Pfeiffer, T., Huang, J. L., Vaughn, L. A., DeMarree, K., Igou, E. R., Chapman, H., Gantman, A., Vanaman, M., Wylie, J., ... Uhlmann, E. L. (2021). A creative destruction approach to replication: Implicit work and sex morality across cultures. Journal of Experimental Social Psychology, 93, [104060]. https://doi.org/10.1016/j.jesp.2020.104060[details]
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]
Aust, F., Haaf, J. M., & Stahl, C. (2019). A Memory-Based Judgment Account of Expectancy-Liking Dissociations in Evaluative Conditioning. Journal of Experimental Psychology Learning Memory and Cognition, 45(3), 417-439. https://doi.org/10.1037/xlm0000600[details]
Haaf, J. M., & Rouder, J. N. (2019). Some do and some don't? Accounting for variability of individual difference structures. Psychonomic Bulletin & Review, 26(3), 772-789. https://doi.org/10.3758/s13423-018-1522-x[details]
Rouder, J. N., Haaf, J. M., & Snyder, H. K. (2019). Minimizing Mistakes In Psychological Science. Advances in Methods and Practices in Psychological Science, 2(1), 3-11. https://doi.org/10.1177/2515245918801915[details]
Rouder, J. N., Haaf, J. M., Davis-Stober, C. P., & Hilgard, J. (2019). Beyond Overall Effects: A Bayesian Approach to Finding Constraints in Meta-Analysis. Psychological Methods, 24(5), 606-621. https://doi.org/10.1037/met0000216[details]
Snyder, H. K., Rafferty, S. M., Haaf, J. M., & Rouder, J. N. (2019). Common or distinct attention mechanisms for contrast and assimilation? Attention, Perception & Psychophysics, 81(6), 1944-1950. https://doi.org/10.3758/s13414-019-01713-8[details]
Etz, A., Haaf, J. M., Rouder, J. N., & Vandekerckhove, J. (2018). Bayesian Inference and Testing Any Hypothesis You Can Specify. Advances in Methods and Practices in Psychological Science, 1(2), 281-295. https://doi.org/10.1177/2515245918773087[details]
Heycke, T., Gehrmann, S., Haaf, J. M., & Stahl, C. (2018). Of two minds or one? A registered replication of Rydell et al. (2006). Cognition & Emotion, 32(8), 1708-1727. https://doi.org/10.1080/02699931.2018.1429389
Rouder, J. N., & Haaf, J. M. (2018). Power, Dominance, and Constraint: A Note on the Appeal of Different Design Traditions. Advances in Methods and Practices in Psychological Science, 1(1), 19-26. https://doi.org/10.1177/2515245917745058[details]
Rouder, J. N., Haaf, J. M., & Aust, F. (2018). From theories to models to predictions: A Bayesian model comparison approach. Communication Monographs, 85(1), 41-56. https://doi.org/10.1080/03637751.2017.1394581
Rouder, J. N., Haaf, J. M., & Vandekerckhove, J. (2018). Bayesian inference for psychology, part IV: parameter estimation and Bayes factors. Psychonomic Bulletin & Review, 25(1), 102-113. https://doi.org/10.3758/s13423-017-1420-7
2017
Haaf, J. M., & Rouder, J. N. (2017). Developing Constraint in Bayesian Mixed Models. Psychological Methods, 22(4), 779-798. https://doi.org/10.1037/met0000156
Thiele, J. E., Haaf, J. M., & Rouder, J. N. (2017). Is there variation across individuals in processing? Bayesian analysis for systems factorial technology. Journal of Mathematical Psychology, 81, 40-54. https://doi.org/10.1016/j.jmp.2017.09.002
2016
Stahl, C., Haaf, J., & Corneille, O. (2016). Subliminal Evaluative Conditioning? Above-Chance CS Identification May Be Necessary and Insufficient for Attitude Learning. Journal of Experimental Psychology. General, 145(9), 1107-1131. https://doi.org/10.1037/xge0000191
2023
van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E-J. (2023). Bayes Factors for Mixed Models: Perspective on Responses. Computational Brain and Behavior, 6(1), 127–139. https://doi.org/10.1007/s42113-022-00158-x[details]
van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3[details]
Haaf, J. (2020). Anne Anastasi Dissertation Award.
Journal editor
Haaf, J. (editor) (2020-2022). Collabra: Psychology (Journal).
Haaf, J. (editor) (2020-2022). Behavior Research Methods (Journal).
Talk / presentation
Haaf, J. (invited speaker) (14-11-2019). Bayesian hierarchical modeling of cognitive processes: Benefits and pitfalls, Current Trends in Mathematical Psychology, Montreal.
Haaf, J. (invited speaker) (23-9-2019). Does Everyone? Modeling Individual Differences in Cognitive Tasks, University of Tuebingen.
Haaf, J. (keynote speaker) (13-9-2019). Modeling Individual Differences in a Bayesian Framework, Universität Potsdam.
Haaf, J. (invited speaker) (29-4-2019). A Bayesian modeling approach for individual differences, Laboratory for Experimental Psychology, Department of Brain and Cognition, KU Leuven, Leuven, Belgium..
Haaf, J. (speaker) (18-2-2019). The Crisis of Replicability in Psychology: A Statistical Perspective, University of Padova.
Others
Haaf, J. (organiser) & Hilgard, J. (organiser) (8-2-2019). Symposium at the SPSP Annual Convention, Portland (organising a conference, workshop, ...).
2023
Sarafoglou, A. (2023). Good research practices. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
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
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