Publications

Haaf, J. M., Merkle, E. C., & Rouder, J. N. (2020). Do items order? The psychology in IRT models. Journal of Mathematical Psychology, 98, 102398.

Boehm, U., Van Maanen, L., Evans, N., Brown, S., & Wagenmakers, E.-J. (2020). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception & Psychophysics, 82 (3),
1520-1534.

Parker, S., Heathcote, A., & Finkbeiner, M. (2020). Using evidence accumulation modeling to quantify the relative contributions of spatial attention and saccade preparation in perceptual tasks. Journal of Experimental Psychology. Human Perception and Performance, 46(4), 416–433.

Osth, A. F., Shabahang, K. D., Mewhort, D. J. K., & Heathcote, A. (2020). Global semantic similarity effects in recognition memory: Insights from BEAGLE representations and the diffusion decision model. Journal of Memory and Language, 111, 104071. [Supplementary Materials]

van Ravenzwaaij, D., Brown, S. D., Marley, A. A. J., & Heathcote, A. (2020). Accumulating advantages: A new conceptualization of rapid multiple choice. Psychological Review, 127(2), 186–215.

Strickland, L., Loft, S., & Heathcote, A. (2020). Investigating the effects of ongoing-task bias on prospective memory. Quarterly Journal of Experimental Psychology, 73(9), 1495–1513. [Supplementary Materials]

Damaso, K., Williams, P., & Heathcote, A. (2020). Evidence for different types of errors being associated with different types of post-error changes. Psychonomic Bulletin & Review, 27(3), 435–440.

Reynolds, A., Kvam, P. D., Osth, A. F., & Heathcote, A. (2020). Correlated racing evidence accumulator models. Journal of Mathematical Psychology, 96, 102331.

Lui, K. K., Nunez, M. D., Cassidy, J. M., Vandekerckhove, J., Cramer, S. C., & Srinivasan, R. (2020). Timing of readiness potentials reflect a decision-making process in the human brain. Computational Brain & Behavior, 1-20. [Data & Analysis Code]

Nunez, M.D. (2020). pyhddmjags: example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. Repository version 0.4.4

van Doorn, J., Matzke, D., & Wagenmakers, E.-J. (2020). An in-class demonstration of Bayesian inference. Psychology Learning and Teaching, 9, 36–45.

Sarafoglou, A., Hoogeveen, S., Matzke, D., & Wagenmakers, E.-J. (2020). Teaching good research practices: Protocol of a Research Master course. Psychology Learning and Teaching, 9, 46–59.

Gronau, Q.F., Heathcote, A., & Matzke, D. (2020). Computing Bayes factors for evidence-accumulation models using Warp-III bridge sampling. Behavioral Research Methods, 52, 918-937. [Supplementary Materials]

Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharsky, S., Derks,
K., Gronau, Q. F., …, Matzke, D., …, Wagenmakers, E.-J. (2020). The Bayesian methodology of Sir Harold Jeffreys as a practical alternative to the p-value hypothesis test. Computational Brain & Behavior, 3, 153-161.

Dahrendorf, M., Hoffmann, T., Mittenbühler, M., Wiechert, S., Sarafoglou, A., Matzke, D., & Wagenmakers, E.-J. (2020). “Because it is the right thing to do”: Taking stock of the peer reviewers’ openness initiative. Journal of European Psychology Students, 11, 15-20.

van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E.-J., Derks, K., Dablander, F., Gronau, Q. F., …,  Matzke, D., & Wagenmakers, E.-J. (2020). A tutorial on conducting and interpreting a Bayesian ANOVA in JASP. L’ Année Psychologique, 120, 73-96.

Matzke, D., Logan, G.D., & Heathcote, A. (2020). A cautionary note on evidence-accumulation models of response inhibition in the stop-signal paradigm. Computational Brain & Behavior, 3, 269–288.

Stephens, R.G., Matzke, D., & Hayes, B.K. State-trace analysis – misrepresented and misunderstood: Reply to Ashby (2020). Journal of Mathematical Psychology, 96, 102342.

Skippen, P., Fulham, W.R., Michie, P.T., Matzke, D., Heathcote, A., & Karayanidis, F. (2020). Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task. Psychophysiology, 57, e13619.

Parker, S., Heathcote, A., & Finkbeiner, M. (2020). Spatial attention and saccade preparation both independently contribute to the discrimination of oblique orientations. Advances in Cognitive Psychology, 16, 329–343.

Gronau, Q. F., Singmann, H., & Wagenmakers, E.-J. (2020). bridgesampling: An R package for estimating normalizing constants. Journal of Statistical Software, 92(1), 1–29.

Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2020). Informed Bayesian t-tests. The American Statistician, 74(2), 137–143.

Landy, J. F., Jia, M. (Liam), Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., Ly, A., van den Bergh, D., Marsman, M., Derks, K., Wagenmakers, E.-J., Proctor, A., Bartels, D. M., Bauman, C. W., Brady, W. J., … Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451–479.

Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2020). A conceptual introduction to Bayesian model averaging. Advances in Methods and Practices in Psychological Science, 3(2), 200–215.

Gronau, Q. F., & Lee, M. D. (2020). Bayesian inference for multidimensional scaling representations with psychologically interpretable metrics. Computational Brain & Behavior, 3(3), 322–340.

Wagenmakers, E.-J., Gronau, Q. F., Dablander, F., & Etz, A. (2020). The support interval. Erkenntnis.

Brown, S. D., Marley, A. A. J., Donkin, C., & Heathcote, A. (2008). An integrated model of choices and response times in absolute identification. Psychological Review, 115(2), 396–425.

Brown, S. D., & Heathcote, A. (2008). The simplest complete model of choice response time: Linear ballistic accumulation. Cognitive Psychology, 57(3), 153–178.

Bucci, S., Startup, M., Wynn, P., Heathcote, A., Baker, A., & Lewin, T. J. (2008). Referential delusions of communication and reality discrimination deficits in psychosis. British Journal of Clinical Psychology, 47(3), 323–334.

Sutton, K., Heathcote, A., & Bore, M. (2007). Measuring 3-D understanding on the Web and in the laboratory. Behavior Research Methods, 39(4), 926–939.

Heathcote, A., Brown, S., & Mewhort, D. J. K. (2000). The power law repealed: The case for an exponential law of practice. Psychonomic Bulletin & Review, 7(2), 185–207.

Treloar, C., McCall, N., Rolfe, I., Pearson, S.-A., Garvey, G., & Heathcote, A. (2000). Factors affecting progress of Australian and international students in a problem-based learning medical course. Medical Education, 34(9), 708–715.

Heathcote, A., & Brown, S. (2000). The law of practice and localist neural network models. Comment on Page, M., Connectionist modelling in psychology: A localist Manifesto. Behavioral and Brain Sciences, 23(4), 479–480.

Heathcote, A., & Mewhort, D. J. K. (1990). Is unbounded visual search intractable? Comment on Tsotsos, J. K., Analysing vision at the complexity level. Behavioral and Brain Sciences, 13(3), 449–449.