Publications

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.

Puri, R., Hinder, M., & Heathcote, A. (2023). What mechanisms mediate prior probability effects on rapid-choice decision-making? PLOS ONE. 

Heathcote, A., Verbruggen, F., Boehler, C.N., & Matzke, D. (in press). Cognitive control of choices and action. In B.U. Forstmann & B. Turner (Eds.), An introduction to model-based cognitive neuroscience (2^nd ed.). Springer.

Chen, H., Heathcote, A., Sauer, J., Palmer, M., & Osth, A. (2023). Greater target or lure variability? An exploration on the effects of stimulus types and memory paradigms. Memory & Cognition.

Stevenson, N., Innes, R.J., Boag, R.J., Miletić, S., Isherwood, R.J.S., Trutti, A. C., Heathcote, A., & Forstmann, B.U. (in press). Joint modelling of latent cognitive mechanisms shared across decision-making domains. Computational Brain & Behavior.

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.

Tanis, C.C., Heathcote, A., Zrubka, M., & Matzke, D. (2023). A hybrid approach to dynamic cognitive psychometrics. Behavior Research Methods.

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.