Publications
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Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O.R., Albers, C.J., van Assen, M.A.L.M., Bastiaansen, J. A., Benjamin, D., Boehm, U., …, Matzke, D., …, & Wagenmakers, E.-J. (2021). Consensus-based guidance for conducting and reporting multi-analyst studies. eLife,10:e7218.
Rouder, J. N., & Haaf, J. M. (2021). Are There Reliable Qualitative Individual Difference in Cognition? Journal of Cognition, 4(1), 46.
Tierney, W., Hardy, J. H., III., Ebersole, C., Viganola, D., Clemente, E., Gordon, M., Hoogeveen, S., Haaf, J., Dreber, A.A., Johannesson, M., Pfeiffer, T., Chapman, H., Gantman, A., Vanaman, M., DeMarree, K., Igou, E., Wylie, J., Storbeck J., Andreychik, M.R., McPhetres, J., Vaughn, L.A., Culture and Work Morality Forecasting Collaboration, & Uhlmann, E. L. (2021). A creative destruction approach to replication: Implicit work and sex morality across cultures. Journal of Experimental Social Psychology, 93, 104060.
Haaf, J. M., Rhodes, S., Naveh-Benjamin, M., Sun, T. K., Snyder, H. K., & Rouder, J. N. (2021). Revisiting the Remember-Know Task: Replications of Gardiner and Java (1990). Memory & Cognition, 49, 46-66. [OSF project]
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), 1-15.
van Doorn, J., van den Bergh, D., Dablander, F., van Dongen, N., Derks, K., Evans, N., Gronau, Q., Haaf, J. M., Kunisato, Y., Ly, A., Marsman, M., Sarafoglou, A., Stefan, A., & Wagenmakers, E. (2021). Strong Public Claims May Not Reflect Researchers’ Private Convictions. Significance, 18, 44-45.
van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (in press). Bayes Factors for Mixed Models. Computational Brain & Behavior.
Haaf, J. M., & Rouder, J. N. (in press). Does Every Study? Implementing Ordinal Constraint in Meta-Analysis. Psychological Methods.
Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E., & Marsman, M. (in press). Evaluating Multinomial Order Restrictions with Bridge Sampling. Psychological Methods.
Manning, C., Wagenmakers, E.-J., Norcia, A. M., Serif, G., & Boehm, U. (2021). Perceptual decisionmaking
in children: Age-related differences and EEG correlates. Computational Brain & Behavior, 4, 53-69.Retzler, C., Boehm, U., Jing, C., Cochrane, A., & Manning, C. (2021). Prior information use and
response caution in perceptual decision-making: No evidence for a relationship with autistic-like traits.
Quarterly Journal of Experimental Psychology, 74(11): 1953–1965.Boehm, U., Marsman, M., van der Maas, H. L. J., Maris, G. (in press). An attention-based diffusion
model for psychometric analyses. Psychometrika.*Boehm, U., Cox, S., Gantner, G. & Stevenson, R. (in press). Fast solutions for the first-passage distribution
of diffusion models with space-time-dependent drift functions and time-dependent boundaries.
Journal of Mathematical Psychology, 105, 102613. (*authors listed alphabetically) [OSF repository]van Berkel, N., Dennis, S., Zyphur, M., Li, J., Heathcote, A. & Kostakos, V. (2021). Modeling interaction as a complex system. Human-Computer Interaction, 36, 279-305.
Parker, S., Heathcote, A., & Finkbeiner, M. (2021). Establishing the separable contributions of spatial attention and saccade preparation across tasks with varying acuity demands. Journal of Experimental Psychology: Human Perception and Performance, 47(2), 172–188.
Miletić, S., Boag, R. J., Trutti, A. C., Stevenson, N., Forstmann, B. U., & Heathcote, A. (2021). A new model of decision processing in instrumental learning tasks. ELife, 10, e63055.
Trueblood, J. S., Heathcote, A., Evans, N. J., & Holmes, W. R. (2021). Urgency, leakage, and the relative nature of information processing in decision-making. Psychological Review, 128(1), 160–186.
Hawkins, G. E., & Heathcote, A. (2021). Racing against the clock: Evidence-based versus time-based decisions. Psychological Review, 128(2), 222–263. [Supplementary Materials]
Reynolds, A., Garton, R., Kvam, P., Sauer, J., Osth, A. F., & Heathcote, A. (2021). A dynamic model of deciding not to choose. Journal of Experimental Psychology: General, 150(1), 42–66. [Supplementary Materials]
Strickland, L., Heathcote, A., Bowden, V., Boag, R., Wilson, M. D., Khan, S. & Loft, S. (2021). Inhibitory cognitive control allows automated advice to improve accuracy while minimizing misuse. Psychological Science, 32,1768-1781.
Starns, J. & Heathcote, A. (in press). Evidence accumulation and decision processes. Oxford Handbook of Human Memory.
Stefan, A., Katsimpokis, D., Gronau, Q. F., & Wagenmakers, E.-J. (submitted). Expert agreement in prior
elicitation and its effects on Bayesian inference. Manuscript submitted for publication.Gronau, Q. F., Heck, D. W., Berkhout, S. W., Haaf, J. M., & Wagenmakers, E.-J. (in press). A primer on
Bayesian model-averaged meta-analysis. Advances in Methods and Practices in Psychological Science, 4(3), 25152459211031256.Wagenmakers, E.-J., Gronau, Q. F., & Vandekerckhove, J. (submitted). Five Bayesian intuitions for the
stopping rule principle. Manuscript submitted for publication.Shiffrin, R. M., Matzke, D., Crystal, J. D., Wagenmakers, E.-J., Chandramouli, S. H., Vandekerckhove, J., Zorzi, M., Morey, R. D., & Murphy, M. C. (2021). Extraordinary claims, extraordinary evidence? A discussion. Learning & Behavior, 49, 265-275.
Jun, E. J.*, Bautista, A. R.*, Nunez, M. D.*, Allen, D. C., Tak, J. H., Alvarez, E., Basso, M. A. (2021). Causal role for the primate superior colliculus in the computation of evidence for perceptual decisions. Nature Neuroscience [*Contributed Equally]
Ghaderi-Kangavari, A., Parand, K., Ebrahimpour, R., Nunez, M. D., Rad, J. A. (2021). How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis. Manuscript submitted for publication.
Tanis, C. C., Leach, N. M., Geiger, S. J., Nauta, F. H., Dablander, F., Harreveld, F. van, … Blanken, T. F. (2021). Smart Distance Lab’s art fair, experimental data on social distancing during the COVID-19 pandemic. Scientific Data, 8, 179.
Blanken, T. F., Tanis, C. C., Nauta, F. H., Dablander, F., Zijlstra B., Bouten, R. R. M., Oostvogel, Q. H., Boersma, M. J., Van der Steenhoven, F., Van Harreveld, F., De Wit, S., & Borsboom, D. (2021). Promoting physical distancing during COVID-19: a systematic approach to compare behavioral interventions. Scientific Reports, 11(1), 1-8.
Tran, N.-H., van Maanen, L., Heathcote, A., & Matzke, D. (2021). Systematic quantitative parameter reviews in cognitive modeling: Towards robust and cumulative models of psychological processes. Frontiers in Psychology: Quantitative Psychology and Measurement, 11:608287.
van Doorn, J., van den Bergh, D., Boehm, U., Dablander, F., Derks, K., Draws, T., Evans, N.J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharsky, S., Ly, A., Marsman, M., Matzke, D., Raj, A.K.N., Sarafoglou, A., Stefan, A., Voelkel, A.G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28, 813–826.
Boehm, U., Matzke, D., Gretton, M., Castro, S., Cooper, J., Skinner, M., Strayer, D., & Heathcote, A. (2021). Real-time prediction of fluctuations in cognitive workload. Cognitive Research: Principles and Implications, 6:30.
Damaso, K.A.M., Castro, S.C., Todd, J., Strayer, D.L., Provost, A., Matzke, D., & Heathcote, A.J. (2022). A cognitive model of response omissions in distraction paradigms. Memory & Cognition, 50, 962-978. [Supplementary Materials]
Matzke, D., Strickland, L., Sripada, C., Weigard, A., Puri, R., He, J.L., Hirst, R.J., & Heathcote, A. (submitted). Stopping timed actions. Manuscript submitted for publication.
Bergh, D. van den, Clyde, M. A., Komarlu Narendra 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.
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.
Gronau, Q. F., Raj, K. N. A., & Wagenmakers, E.-J. (in press). Informed Bayesian inference for the A/B test. Journal of Statistical Software.