Publications

Kucina, T., Wells, L., Lewis, I., de Salas, K., Kohl, A., Palmer, M., Sauer, J.D., Matzke, D., Aidman, E., & Heathcote, A. (2023). A solution to the reliability paradox for decision-conflict tasks. Nature Communications.

van Doorn, J., Haaf, J.M., Stefan, A.M., Wagenmakers, E.-J., Cox, G.E., Davis-Stober, C.P., Heathcote, A., Heck, D., Kalish, M., Kellen, D., Matzke, D., Morey, R.D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J.N., Shiffrin, R.M., Schad, D.J., Singmann, H., Vasishth, S., Verissimo, J., Chandramouli, S., Dunn, J.C., Gronau, Q.F., Navarro, D., Yadav, H., Bockting, F., Linde, M., McMullin, S.D., Schnuerch, M., & Aust. F. (2023). Bayes factors for mixed models: A discussion. Computational Brain & Behavior, 6, 140–158.

Isherwood, S.J.S, Bazin, P.L., Miletic, S., Stevenson, N.R., Trutti, A.C., Tse, D.H.Y, Heathcote, A., Matzke, D., Innes, R.J., Habli, S., Sokolowski, D.R., Alkemade, A., Haberg, A.K., & Forstmann, B.U. (2023). Investigating intra-individual networks of response inhibition and interference resolution using 7T MRI. NeuroImage. 

Boehm, U., Evans, N.J., Gronau, Q.F, Matzke, D., Wagenmakers, E.-J., Heathcote, A. (2023). Inclusion Bayes Factors for mixed hierarchical Diffusion Decision Models. Psychological Methods.

Ciobanu, L.G., Stankov, L., Ahmed, M., Heathcote, A., Clark, S.R., & Aidman, E. (2023). Multifactorial structure of cognitive assessment tests in the UK Biobank: A combined exploratory factor and structural equation modelling analyses. Frontiers in Psychology: Cognition. 

Heck, D. W., Boehm, U., Boeing-Messing, F., Buerkner, P.-C., Derks, K.,…, & Hoijtink, H. (in press).
A review of applications of the Bayes factor in psychological research. Psychological Methods.

Castro, S., Heathcote, A., Cooper, J., & Strayer, D. (accepted 16/3/2022). Dynamic workload measurement and modeling: Driving and conversing. Journal of Experimental Psychology: Applied.

Kvam, P., Marley, A. A. J., & Heathcote, A. (2022). A unified theory of discrete and continuous responding. Psychological Review. 

Strickland, L., Boag, R.J., Heathcote, A., Bowden, V., & Loft, S. (2022).  Automated decision aids: When are they advisors and when do they take control of human decision making? Journal of Experimental Psychology: Applied.

Dablander, F*., Blanken, T. F*., Tanis, C. C*., Breed, R., Coffeng, L. E., Crommelin, D., … Borsboom, D. (2022). A Multidisciplinary Perspective on COVID-19 Exit Strategies. PsyArXiv.
[* shared first authorship]

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.

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]

Starns, J. & Heathcote, A. (in press). Evidence accumulation and decision processes. Oxford Handbook of Human Memory.

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.

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]

Gronau, Q. F., Raj, K. N. A., & Wagenmakers, E.-J. (in press). Informed Bayesian inference for the A/B test. Journal of Statistical Software.