Publications

Elliott, D., Strickland, L., Loft, S., & Heathcote, A. (2022). Integrated responding improves prospective memory accuracy. Psychonomic Bulletin & Review, 29, 934-942.

Schnuerch, M., Haaf, J. M., Sarafoglou, A., & Rouder, J. N. (2022). Meaningful comparisons with ordinal-scale items. Collabra: Psychology, 8(1), 38594.

Sarafoglou, A., Aust, F., Marsman, M., Wagenmakers, E.-J., & Haaf, J. M. (submitted). multibridge: An R package to evaluate informed hypotheses in Binomial and Multinomial models. PsyArXiv.

Rouder, J. N., Kumar, A., & Haaf, J. M. (submitted). Why Most Studies of Individual Differences With Inhibition Tasks Are Bound To Fail. PsyArxiv.

Rouder, J. N., & Haaf, J. M. (submitted). Optional Stopping and the Interpretation of The Bayes Factor. PsyArXiv.

Hoogeveen, S., Haaf, J. M., Bulbulia, J. A., Ross, R. M., McKay, R., Altay, S., … & 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.

[PsyArXiv]

Van Geert, E., Moors, P., Haaf, J. M., & 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), 20416695221109300.

[Stage 1 registered report]

Donzallaz, M., Haaf, J. M., & Stevenson, C. (2022). Creative or Not? Hierarchical Diffusion Modeling of the Creative Evaluation Process. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication. [Preprint]

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.

Tanis, C. C., Nauta, F. H., Boersma, M. J., Van der Steenhoven, M. V., Borsboom, D., & Blanken, T. F. (2022). Practical behavioural solutions to COVID-19: Changing the role of behavioural science in crises. PloS one, 17(10), e0272994. [Dataset]

Heathcote, A., & Matzke, D. (2022). Winner takes all! What are race models, and why and how should psychologists use them? Current Directions in Psychological Science, 31, 383-394.

He, J. L., Hirst, R. J., Puri, R., Coxon, J., Byblow, W., Hinder, M., Skippen, P., Matzke, D., Heathcote, A., Wadsley, C. G., Hyde, C., Parmar, D., Pedapati, E., Gilbert, D. L., Huddleston, D. A., Mostofsky, S., Leunissen, I., MacDonald, H. J.,  Chowdhury, N. S., Gretton, M., Nikitenko, T., Zandbelt, B., Strickland, S., Puts, N. A. J. (2022). OSARI, an open-source anticipated response inhibition task. Behavior Research Methods, 54, 1530–1540.

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.

Nunez, M. D., Vandekerckhove, J., & Srinivasan, R. (2022). A tutorial on fitting joint models of M/EEG and behavior to understand cognition. Preprint.

Heathcote, A., Garton, R., Hinder, M.R., Reynolds, A., Tanis, C., & Matzke, D. (2022). Slower processing dominates executive-function deficits in cognitive aging. Manuscript submitted for publication.

Tanis, C.C., Heathcote, A., Zrubka, M., & Matzke, D. (2022). A hybrid approach to dynamic cognitive psychometrics. Manuscript submitted for publication.

Ghaderi-Kangavari, A., Rad, J. A., Parand, K., & Nunez, M. D. (2022). Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making. Journal of Mathematical Psychology, 111, 102725.

Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2022). Self-reported mind wandering reflects executive control and selective attention. Psychonomic Bulletin & Review, 29, 2167-2180.

Choo, Y., Matzke, D., Bowren, M. D, Tranel, D., & Wessel, J. R. (2022). Right inferior frontal gyrus damage is associated with impaired initiation of inhibitory control, but not its implementation. eLife, 11:e79667.

Sebastian, A., Forstmann, B.U., & Matzke, D. (2022). Reliability of triggering the stop process is related to prefrontal-subthalamic hyperdirect pathway recruitment. Manuscript submitted for publication. 

Strickland, L., Heathcote, A., Humphreys, M. S., & Loft, S. (2022). Target learning in event-based prospective memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48, 1110-1126.

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

Ghaderi-Kangavari, A., Rad, J. A., & Nunez, M. D. (2023). A general integrative neurocognitive modeling framework to jointly describe EEG and decision-making on single trials. Computational Brain & Behavior, 1-60.

Sun, Q. J., Vo, K., Lui, K., Nunez, M., Vandekerckhove, J., & Srinivasan, R. (2022, July). Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-9). IEEE.

Aidman, E., Fogarty, G. J., Crampton, J., Bond, J., Taylor, P., Heathcote, A., & Zaichkowsky, L. (2022). An app-enhanced cognitive fitness training program for athletes: The rationale and validation protocol. Frontiers in Psychology, 13, 957551.

Kumar, A., Benjamin, A. S., Heathcote, A., & Steyvers, M. (2022). Comparing models of learning and relearning in large-scale cognitive training data sets. npj Science of Learning, 7, 24.

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.

Boag, R.J., Strickland, L., Heathcote, A., Neal, A., Palada, H., & Loft, S. (2022). Evidence accumulation modelling in the wild: Understanding safety-critical decisions. Trends in Cognitive Sciences, 27, 175-188. 

Damaso, K. A. M., Williams, P. G., & Heathcote, A. (2022). What happens after a fast versus slow error, and how does it relate to evidence accumulation? Computational Brain & Behavior, 5, 527–546.

Rouder, J. N., Schnuerch, M., Haaf, J. M., & Morey, R. D. (2022). Principles of Model Specification in ANOVA Designs. Computational Brain & Behavior, 1-14.

Bartoš, F., Aust, F., & Haaf, J. M. (2022). Informed Bayesian survival analysis. BMC Medical Research Methodology, 22, 238.

Ballard, T., Neal, A., Farrell, S., Lloyd, E., Lim, J., & Heathcote, A. (2022). A general architecture for modeling the dynamics of goal-directed motivation and decision making. Psychological Review, 129, 146-174.

Elliott, J. G. C., Gilboa-Schechtman, E., Grigorenko, E. L., Heathcote, A., Purdie-Greenaway, V. J., Uddin, L. Q., van der Maas, H. L. J., & Waldmann, M. R. (2022). Editorial. Psychological Review, 129, 1-3.

Nunez, M. D., Charupanit, K., Sen-Gupta, I., Lopour, B. A., & Lin, J. J. (2022). Beyond rates: Time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone. Journal of Neural Engineering, 19, 016034.

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]

Borsboom, D., Blanken, T. F., Dablander, F., Tanis, C. C., Van Harreveld, F., & Van Mieghem, P. (2022). The lighting of the BECONs: A behavioral data science approach to tracking interventions in COVID-19 research. Journal of Behavioral Data Science, 2(1), 1–34.

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]

Heathcote, A. (1996). RTSYS: A DOS application for the analysis of reaction time data. Behavior Research Methods, Instruments, & Computers, 28(3), 427–445.