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, 271, 119988.

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.

Weigard, A., Matzke, D., Tanis, C., & Heathcote, A. (2023). Cognitive process modeling addresses context independence violations in the ABCD study stop-signal task. Developmental Cognitive Neuroscience, 59, 101191.

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, 14:1054707.

Albertella, L., Kirkham R, …, Heathcote, A., …, & Yücel M. (2023). Building a transdisciplinary expert consensus on the cognitive drivers of performance under pressure: An international multi-panel Delphi study. Frontiers in Psychology: Performance Science, 13, 1017675.

Heathcote, A. & Matzke, D. (2023). The limits of marginality. Computational Brain & Behavior, 6, 28–34.

Gronau, Q.F., Hinder, M.R., Salomoni, S.E., Matzke, D., & Heathcote, A. (2023). A unified account of simple and response-selective inhibition. Manuscript submitted for publication. 

Taylor, P., Walker, F. R., Heathcote, A., & Aidman, E. (2023).  Effects of multimodal physical and cognitive fitness training on sustaining mental health and job readiness in a military cohort. Sustainability, 15, 9016.

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

Salomoni, S. E., Gronau, Q. F., Heathcote, A., Matzke, D., & Hinder, M. R. (2023). Faster action reprogramming, but not stopping, with proactive cues: Combining EMG and computational modelling in response-selective stop signal tasks. Manuscript submitted for publication.

Friehs, M.A., Siodmiak, J., Donzallaz, M.C., Matzke, D., Numssen, O., Frings, C., & Hartwigsen, G. (2023). No effects of 1 Hz offline TMS on performance in the stop-signal game. Scientifc Reports, 13, 11565.

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.

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.

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.

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.

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.

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.

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]

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.

Snyder, H. K., Rafferty, S. M., Haaf, J. M., & Rouder, J. N. (2019). Common or Distinct Attention Mechanisms for Contrast and Assimilation. Attention, Perception, & Psychophysics, 81(6). 1944-1950.

Rouder, J. N., Haaf, J. M., & Snyder, H. K. (2019). Minimizing Mistakes In Psychological Science. Advances in Methods and Practices in Psychological Science, 2(1), 3-11.

Rouder, J. N., Haaf, J. M., Davis-Stober, C., & Hilgard, J. (2019). Beyond overall effects: A Bayesian approach to finding constraints across a collection of studies in meta-analysis. Psychological Methods, 24(5), 606–621.

Rouder, J. N., & Haaf, J. M. (2019). A Psychometrics of Individual Differences in Experimental Tasks. Psychonomic Bulletin and Review, 26(2), 452-467.

Haaf, J. M., & Rouder, J. N. (2019). Some do and some don’t? Accounting for variability of individual difference structures. Psychonomic Bulletin and Review, 26(3), 772-789.

Haaf, J. M., Ly, A., & Wagenmakers, E.-J. (2019). Retire significance, but still test hypotheses. Nature, 567, 461.

Aust, F., Haaf, J. M., & Stahl, C. (2019). A memory-based judgment account of expectancy-liking dissociations in evaluative conditioning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 45(3), 417-439. [OSF project]

Heathcote, A., Holloway, E., & Sauer, J. (2019). Confidence and varieties of bias. Journal of Mathematical Psychology, 90, 31–46.

Dunn, J. C., Heathcote, A., & Kalish, M. (2019). Special issue on state-trace analysis. Journal of Mathematical Psychology, 90, 1–2. [Full Issue]

Lin, Y.-S., Heathcote, A., & Holmes, W. R. (2019). Parallel probability density approximation. Behavior Research Methods, 51(6), 2777–2799. [R package]

Garton, R., Reynolds, A., Hinder, M. R., & Heathcote, A. (2019). Equally flexible and optimal response bias in older compared to younger adults. Psychology and Aging, 34(6), 821–835. [Supplementary Materials]

Boag, R. J., Strickland, L., Heathcote, A., Neal, A., & Loft, S. (2019). Cognitive control and capacity for prospective memory in complex dynamic environments. Journal of Experimental Psychology. General, 148(12), 2181–2206.

Bird, L., Gretton, M., Cockerell, R., & Heathcote, A. (2019). The cognitive load of narrative lies. Applied Cognitive Psychology, 33(5), 936–942.

Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2019). Modeling distracted performance. Cognitive Psychology, 112, 48–80. [Supplementary Material & Code]

Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., … Donkin, C. (2019). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review, 26(4), 1051–1069. [Supplementary Materials]

Strickland, L., Elliott, D., Wilson, M. D., Loft, S., Neal, A., & Heathcote, A. (2019). Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task. Journal of Experimental Psychology: Applied, 25(4), 695–715.

Palada, H., Neal, A., Strayer, D., Ballard, T., & Heathcote, A. (2019). Using response time modeling to understand the sources of dual-task interference in a dynamic environment. Journal of Experimental Psychology: Human Perception and Performance, 45(10), 1331–1345.

Starns, J. J., Cataldo, A. M., Rotello, C. M., Annis, J., Aschenbrenner, A., Bröder, A., Cox, G., Criss, A., Curl, R. A., Dobbins, I. G., Dunn, J., Enam, T., Evans, N. J., Farrell, S., Fraundorf, S. H., Gronlund, S. D., Heathcote, A., Heck, D. W., Hicks, J. L., … Wilson, J. (2019). Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis. Advances in Methods and Practices in Psychological Science, 2(4), 335–349.

Weigard, A., Heathcote, A., & Sripada, C. (2019). Modeling the effects of methylphenidate on interference and evidence accumulation processes using the conflict linear ballistic accumulator. Psychopharmacology, 236(8), 2501–2512. [Data & Code]

Boag, R. J., Strickland, L., Loft, S., & Heathcote, A. (2019). Strategic attention and decision control support prospective memory in a complex dual-task environment. Cognition, 191, 103974.

Heathcote, A. (2019). What do the rules for the wrong game tell us about how to play the right game? Computational Brain & Behavior, 2(3), 187–189.

Osth, A. F., Dunn, J. C., Heathcote, A., & Ratcliff, R. (2019). Two processes are not necessary to understand memory deficits. Behavioral and Brain Sciences, 42.

Schubert, A. L., Nunez, M. D., Hagemann, D., & Vandekerckhove, J. (2019). Individual differences in cortical processing speed predict cognitive abilities: A model-based cognitive neuroscience account. Computational Brain & Behavior, 2(2), 64-84.

Nunez, P. L., Nunez, M. D., & Srinivasan, R. (2019). Multi-Scale Neural Sources of EEG: Genuine, Equivalent, and Representative. A Tutorial Review. Brain Topography, 1-22.

Nunez, M. D., Gosai, A., Vandekerckhove, J., & Srinivasan, R. (2019). The latency of a visual evoked potential tracks the onset of decision making. NeuroImage, 197, 93-108.

Skippen, P., Matzke, D., Heathcote, A., Fulham, W.R., Michie, P., Karayanidis, F. (2019). Reliability of triggering inhibitory process is a better predictor of impulsivity than SSRT. Acta Psychologica, 192, 104-117.

Gronau, Q.F., Wagenmakers, E.-J., Heck, D.W., & Matzke, D. (2019). A simple method for comparing complex models: Bayesian model comparison for hierarchical multinomial processing tree models using Warp-III bridge sampling. Psychometrika, 84, 261-284.

Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, J., Ly, A., Gronau, Q. F., …, Matzke, D., …, & Wagenmakers, E.-J. (2019). JASP- Graphical statistical software for common statistical designs. Journal of Statistical Software, 88, 1-17.

Matzke, D., Curley, S., Gong, C.Q., & Heathcote, A. (2019). Inhibiting responses to difficult choices. Journal of Experimental Psychology: General, 148, 124-142. [Supplementary Materials]

Heathcote, A., Lin, Y., Reynolds, A., Strickland, L., Gretton, M., & Matzke, D. (2019). Dynamic models of choice. Behavior Research Methods, 51, 961-985. [Software]

Castro, S., Strayer, D., Matzke, D., & Heathcote, A. (2019). Cognitive workload measurement and modeling under divided attention. Journal of Experimental Psychology: Human Perception and Performance, 45, 826-839.

Stephens, R.G., Matzke, D., & Hayes, B.K. (2019). Disappearing dissociations in experimental psychology: Using state-trace analysis to test for multiple processes. Journal of Mathematical Psychology, 90, 3–22.

Weigard, A., Heathcote, A., Matzke, D., & Huang-Pollock, C. (2019). Cognitive modeling suggests that attentional failures drive longer stop-signal reaction time estimates in attention deficit/hyperactivity disorder. Clinical Psychological Science, 7, 856-872. [Code]

Verbruggen, F., Aron, A.R., Band, G.P.H., Beste, C., Bissett, P.G., Brockett, A.T., …, Heathcote, A., …, Matzke, D., …, Boehler, C.N. (2019). A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task. eLIFE, 8, e46323. [Supplementary Materials]

Lee, M., Criss, A.H., Devezer, B., Donkin, C., Etz, A., Leite,F., Matzke, D., …, Vandekerckhove, J. (2019). Robust modeling in cognitive science. Computational Brain & Behavior, 2, 141–153.

Vandekerckhove, J., White, C.N., Trueblood, J.S., Rouder, J.N., Matzke, D., Leite, F.P., …, Lee., M.D. (2019). Robustness and diversity in cognitive modeling. Computational Brain & Behavior, 2, 271–276.

Gronau, Q. F., & Wagenmakers, E.-J. (2019). Limitations of Bayesian leave-one-out cross-validation for model selection. Computational Brain & Behavior, 2(1), 1–11.

Gronau, Q. F., & Wagenmakers, E.-J. (2019). Rejoinder: More limitations of Bayesian leave-one-out cross-validation. Computational Brain & Behavior, 2(1), 35–47.

Boffo, M., Zerhouni, O., Gronau, Q. F., van Beek, R. J. J., Nikolaou, K., Marsman, M., & Wiers, R. W. (2019). Cognitive bias modification for behavior change in alcohol and smoking addiction: Bayesian meta-analysis of individual participant data. Neuropsychology Review, 29(1), 52–78.

Dongen, N. N. N. van, Doorn, J. B. van, Gronau, Q. F., Ravenzwaaij, D. van, Hoekstra, R., Haucke, M. N., Lakens, D., Hennig, C., Morey, R. D., Homer, S., Gelman, A., Sprenger, J., & Wagenmakers, E.-J. (2019). Multiple perspectives on inference for two simple statistical scenarios. The American Statistician, 73(sup1), 328–339.

Heck, D. W., Overstall, A. M., Gronau, Q. F., & Wagenmakers, E.-J. (2019). Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Statistics and Computing, 29(4), 631–643.

Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2019). A tutorial on Bayes Factor Design Analysis using an informed prior. Behavior Research Methods, 51(3), 1042–1058.

Rouder, J. N., Haaf, J. M., & Aust, F. (2018). From theories to models to predictions: A Bayesian model comparison approach. Communication Monographs, 85(1), 41-56.

Rouder, J., & Haaf, J. (2018). Power, Dominance, and Constraint: A Note on the Appeal of Different Design Traditions. Advances in Methods and Practice in Psychological Science, 1(1), 19-26. [GitHub repository]

Rouder, J. N., Haaf, J. M., & Vandekerckhove, J. (2018). Bayesian Inference in Psychology, Part IV: Parameter estimation and Bayes factors. Psychonomic Bulletin and Review, 25(1), 102-113.

Heycke, T., Gehrmann, S. M., Haaf, J., & Stahl, C. (2018). Of two minds or one? A registered replication of Rydell et al. (2006). Emotion and Cognition, 32(8), 1708-1727. [OSF project]

Etz, A., Haaf, J. M., Rouder, J. N., & Vandekerckhove, J. (2018). Bayesian inference and testing any hypothesis you can specify. Advances in Methods and Practices in Psychological Science, 1(2), 281-295. [OSF project (with app)]

Quinn, R. K., James, M. H., Hawkins, G. E., Brown, A. L., Heathcote, A., Smith, D. W., Cairns, M. J., & Dayas, C. V. (2018). Temporally specific miRNA expression patterns in the dorsal and ventral striatum of addiction-prone rats. Addiction Biology, 23(2), 631–642.

Provost, A., Jamadar, S., Heathcote, A., Brown, S. D., & Karayanidis, F. (2018). Intertrial RT variability affects level of target-related interference in cued task switching. Psychophysiology, 55(3), e12971.

Weigard, A., Huang-Pollock, C., Brown, S., & Heathcote, A. (2018). Testing formal predictions of neuroscientific theories of ADHD with a cognitive model-based approach. Journal of Abnormal Psychology, 127(5), 529–539. [Supplementary Materials]

Osth, A. F., Jansson, A., Dennis, S., & Heathcote, A. (2018). Modeling the dynamics of recognition memory testing with an integrated model of retrieval and decision making. Cognitive Psychology, 104, 106–142. [Data]

Osth, A. F., Fox, J., McKague, M., Heathcote, A., & Dennis, S. (2018). The list strength effect in source memory: Data and a global matching model. Journal of Memory and Language, 103, 91–113. [Supplementary Data Set 1, Data Set 2]

Evans, N. J., Brown, S. D., Mewhort, D. J. K., & Heathcote, A. (2018). Refining the law of practice. Psychological Review, 125(4), 592–605. [Data]

Strickland, L., Loft, S., Remington, R. W., & Heathcote, A. (2018). Racing to remember: A theory of decision control in event-based prospective memory. Psychological Review, 125(6), 851–887. [Supplementary Material]

Palada, H., Neal, A., Tay, R., & Heathcote, A. (2018). Understanding the causes of adapting, and failing to adapt, to time pressure in a complex multistimulus environment. Journal of Experimental Psychology. Applied, 24(3), 380–399.

Weigard, A., Huang-Pollock, C., Heathcote, A., Hawk, L., & Schlienz, N. J. (2018). A cognitive model-based approach to testing mechanistic explanations for neuropsychological decrements during tobacco abstinence. Psychopharmacology, 235(11), 3115–3124. [Supplementary Materials]

Boehm, U., Steingroever, H., & Wagenmakers, E-J. (2018). Using Bayesian regression to test hypotheses
about relationships between parameters and covariates in cognitive models. Behavior Research Methods,
50 (3), 1248–1269.

Matzke, D., Boehm, U., & Vandekerckhove, J. (2018). Bayesian inference for psychology. Part III: Parameter estimation in nonstandard models. Psychonomic Bulletin & Review, 25, 77-101.

Wagenmakers, E.-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, A.J., …,Gronau, Q.F., …, Matzke, D., et al. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25, 58-76.

Wagenmakers, E.-J., Marsman, M., Jamil, T., Ly, A., Verhagen, A.J., Love, J., …, Matzke, D., et al. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25, 35-57.

Sebastian, A., Forstmann, B.U., & Matzke, D. (2018). Towards a model-based cognitive neuroscience of stopping: A neuroimaging perspective. Neuroscience & Biobehavioral Reviews, 90, 130-136.

Beek, T.F., Matzke, D., Pinto, Y., Rotteveel, M., Gierholz, A., Verhagen, J., et al. (2018). Incidental haptic sensations may not influence social judgements: A purely confirmatory replication attempt of Study 1 by Ackerman, Noreca, & Bargh (2010). Journal of Articles in Support of the Null Hypothesis, 14, 69-90.

Bridwell, D. A., Cavanagh, J. F., Collins, A. G., Nunez, M. D., Srinivasan, R., Stober, S., & Calhoun, V. D. (2018). Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior. Frontiers in Human Neuroscience, 12, 106.

Boehm, U., Marsman, M., Matzke, D., & Wagenmakers, E.-J. (2018). On the importance of avoiding shortcuts in applying cognitive models to hierarchical data. Behavioral Research Methods, 50, 1614-1631.

Boehm, U., Annis, J., Frank, M.J., Hawkins, G.E., Heathcote, A., Kellen, D., …, Matzke, D., & Wagenmakers, E.-J. (2018). Estimating between-trial variability parameters of the diffusion decision model: Expert advice and recommendations. Journal of Mathematical Psychology, 87, 46-75. [Supplementary Materials & Data]

Derks, K., Burger, J., van Doorn, J., Kossakowski, J.J., Matzke, D., Atticciati, L., et al. (2018). Network models to organize a dispersed literature: A case of misunderstanding analysis of covariance. Journal of European Psychology Students, 9, 48-57.

Etz, A., Gronau, Q. F., Dablander, F., Edelsbrunner, P. A., & Baribault, B. (2018). How to become a Bayesian in eight easy steps: An annotated reading list. Psychonomic Bulletin & Review, 25(1), 219–234.

Aczel, B., Palfi, B., Szollosi, A., Kovacs, M., Szaszi, B., Szecsi, P., Zrubka, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2018). Quantifying support for the null hypothesis in psychology: An empirical investigation. Advances in Methods and Practices in Psychological Science, 1(3), 357–366.

Ly, A., Raj, A., Etz, A., Marsman, M., Gronau, Q. F., & Wagenmakers, E.-J. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1(3), 367–374.

Gronau, Q. F., & Wagenmakers, E.-J. (2018). Bayesian evidence accumulation in experimental mathematics: A case study of four irrational numbers. Experimental Mathematics, 27(3), 277–286.

Osth, A. F., Dennis, S., & Heathcote, A. (2017). Likelihood ratio sequential sampling models of recognition memory. Cognitive Psychology, 92, 101–126. [Data & Code]

Evans, N. J., Howard, Z. L., Heathcote, A., & Brown, S. D. (2017). Model flexibility analysis does not measure the persuasiveness of a fit. Psychological Review, 124(3), 339–345.

Bushmakin, M. A., Eidels, A., & Heathcote, A. (2017). Breaking the rules in perceptual information integration. Cognitive Psychology, 95, 1–16.

Hawkins, G. E., Mittner, M., Forstmann, B. U., & Heathcote, A. (2017). On the efficiency of neurally-informed cognitive models to identify latent cognitive states. Journal of Mathematical Psychology, 76, 142–155. [R Code]

Thiele, J. E., Haaf, J. M., & Rouder, J. N. (2017). Is there variation across individuals in processing? Bayesian analysis for systems factorial technology. Journal of Mathematical Psychology, 81, 40-54. [Github]

Sense, F., Morey, C. C., Prince, M., Heathcote, A., & Morey, R. D. (2017). Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis. Behavior Research Methods, 49(3), 853–862.

Haaf, J. M., & Rouder, J. N. (2017). Developing Constraint in Bayesian Mixed Models. Psychological Methods, 22(4), 779-798. [GitHub repository]

Houpt, J. W., Heathcote, A., & Eidels, A. (2017). Bayesian analyses of cognitive architecture. Psychological Methods, 22(2), 288–303.

Tillman, G., Osth, A. F., van Ravenzwaaij, D., & Heathcote, A. (2017). A diffusion decision model analysis of evidence variability in the lexical decision task. Psychonomic Bulletin & Review, 24(6), 1949–1956.

Tillman, G., Strayer, D., Eidels, A., & Heathcote, A. (2017). Modeling cognitive load effects of conversation between a passenger and driver. Attention, Perception, & Psychophysics, 79(6), 1795–1803. [Supplementary Materials]

Strickland, L., Heathcote, A., Remington, R. W., & Loft, S. (2017). Accumulating evidence about what prospective memory costs actually reveal. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(10), 1616–1629. [Supplementary Materials]

Osth, A. F., Bora, B., Dennis, S., & Heathcote, A. (2017). Diffusion vs. linear ballistic accumulation: Different models, different conclusions about the slope of the zROC in recognition memory. Journal of Memory and Language, 96, 36–61.

Grootswagers, T., Ritchie, J. B., Wardle, S. G., Heathcote, A., & Carlson, T. A. (2017). Asymmetric compression of representational space for object animacy categorization under degraded viewing conditions. Journal of Cognitive Neuroscience, 29(12), 1995–2010.

Evans, N. J., Hawkins, G. E., Boehm, U., Wagenmakers, E.-J. & Brown, S. D. (2017). The computations
that support simple decision-making: A comparison between the diffusion and urgency-gating models. Scientific Reports, 7 (1), 16433.

Matzke, D., Love, J., & Heathcote A. (2017). A Bayesian approach for estimating the probability of trigger failures in the stop-signal paradigm. Behavior Research Methods, 49, 267-281. Download Supplementary Materials.

Dutilh, G., Vandekerckhove, J., Ly, A., Matzke, D., Pedroni, A., Frey, R., et al. (2017). A test of the diffusion model explanation of the worst performance rule using preregistration and blinding. Attention, Perception, & Psychophysics, 79, 713-725.

Matzke, D., Hughes, M., Badcock, J.C., Michie, P., & Heathcote, A. (2017). Failures of cognitive control or attention? The case of stop-signal deficits in schizophrenia. Attention, Perception, & Psychophysics, 79, 1078-1086.

Krypotos, A.-M., Blanken, T.F., Arnaudova, I., Matzke, D., & Beckers, T. (2017). A primer on Bayesian analysis for experimental psychopathologists. Journal of Experimental Psychopathology, 8, 140-157.

Matzke, D., Ly, A., Selker, R., Weeda, W. D., Scheibehenne, B., Lee, M.D., & Wagenmakers, E.-J. (2017). Bayesian inference for correlations in the presence of estimation uncertainty and measurement error. Collabra: Psychology, 3(1), 25. [Supplementary Materials]

Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., et al. (2017). A tutorial on bridge sampling. Journal of Mathematical Psychology, 81, 80-97.

Nunez, M. D., Vandekerckhove, J., & Srinivasan, R. (2017). How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters. Journal of Mathematical Psychology, 76(B), 117-130.

Gronau, Q. F., Erp, S. V., Heck, D. W., Cesario, J., Jonas, K. J., & Wagenmakers, E.-J. (2017). A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: The case of felt power. Comprehensive Results in Social Psychology, 2(1), 123–138.

Scheibehenne, B., Gronau, Q. F., Jamil, T., & Wagenmakers, E.-J. (2017). Fixed or random? A resolution through model averaging: Reply to Carlsson, Schimmack, Williams, and Bürkner (2017). Psychological Science, 28(11), 1698–1701.

Gronau, Q. F., Duizer, M., Bakker, M., & Wagenmakers, E.-J. (2017). Bayesian mixture modeling of significant p values: A meta-analytic method to estimate the degree of contamination from H₀. Journal of Experimental Psychology: General, 146(9), 1223–1233.

Mullens, D., Winkler, I., Damaso, K., Heathcote, A., Whitson, L., Provost, A., & Todd, J. (2016). Biased relevance filtering in the auditory system: A test of confidence-weighted first-impressions. Biological Psychology, 115, 101–111.

Palada, H., Neal, A., Vuckovic, A., Martin, R., Samuels, K., & Heathcote, A. (2016). Evidence accumulation in a complex task: Making choices about concurrent multiattribute stimuli under time pressure. Journal of Experimental Psychology. Applied, 22(1), 1–23.

Stahl, C., Haaf, J., & Corneille, O. (2016). Subliminal evaluative conditioning? Above-chance CS identification may be necessary and insufficient for attitude learning. Journal of Experimental Psychology: General, 145(9), 1107–1131. [GitHub repository]

Boehm, U., Hawkins, G.E., Brown, S., Van Rijn, H., & Wagenmakers, E.-J. (2016). Of monkeys and
men: Impatience in perceptual decision-making. Psychonomic Bulletin & Review, 23 (3), 738-749.

Cramer, A.O.J., van Ravenzwaaij, D., Matzke, D., Steingroever, H., Wetzels, R., Grasman, R.P.P.P., et al. (2016). Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies. Psychonomic Bulletin & Review, 23, 640-647.

Schweinsberg, M., Madan, N., Vianello, M., Sommer, S. A., Jordan, J., Tierney, W., Awtrey, E., Zhu, L. L., Diermeier, D., Heinze, J. E., Srinivasan, M., Tannenbaum, D., Bivolaru, E., Dana, J., Davis-Stober, C. P., du Plessis, C., Gronau, Q. F., Hafenbrack, A. C., Liao, E. Y., … Uhlmann, E. L. (2016). The pipeline project: Pre-publication independent replications of a single laboratory’s research pipeline. Journal of Experimental Social Psychology, 66, 55–67.

Tierney, W., Schweinsberg, M., Jordan, J., Kennedy, D. M., Qureshi, I., Sommer, S. A., Thornley, N., Madan, N., Vianello, M., Awtrey, E., Zhu, L. L., Diermeier, D., Heinze, J. E., Srinivasan, M., Tannenbaum, D., Bivolaru, E., Dana, J., Davis-Stober, C. P., du Plessis, C., … Uhlmann, E. L. (2016). Data from a pre-publication independent replication initiative examining ten moral judgement effects. Scientific Data, 3(1), 160082.

Wagenmakers, E.-J., Beek, T., Dijkhoff, L., Gronau, Q. F., Acosta, A., Adams, R. B., Albohn, D. N., Allard, E. S., Benning, S. D., Blouin-Hudon, E.-M., Bulnes, L. C., Caldwell, T. L., Calin-Jageman, R. J., Capaldi, C. A., Carfagno, N. S., Chasten, K. T., Cleeremans, A., Connell, L., DeCicco, J. M., … Zwaan, R. A. (2016). Registered replication report: Strack, Martin, & Stepper (1988). Perspectives on Psychological Science, 11(6), 917–928.

Holmes, W. R., Trueblood, J. S., & Heathcote, A. (2016). A new framework for modeling decisions about changing information: The Piecewise Linear Ballistic Accumulator model. Cognitive Psychology, 85, 1–29. [Data]

Averell, L., Prince, M., & Heathcote, A. (2016). Fundamental causes of systematic and random variability in recognition memory. Journal of Memory and Language, 88, 51–69.

Williams, P., Heathcote, A., Nesbitt, K., & Eidels, A. (2016). Post-error recklessness and the hot hand. Judgment and Decision Making, 11(2), 174-184.

Finkbeiner, M., & Heathcote, A. (2016). Distinguishing the time- and magnitude-difference accounts of the Simon effect: Evidence from the reach-to-touch paradigm. Attention, Perception, & Psychophysics, 78(3), 848–867.

van Maanen, L., Forstmann, B. U., Keuken, M. C., Wagenmakers, E.-J., & Heathcote, A. (2016). The impact of MRI scanner environment on perceptual decision-making. Behavior Research Methods, 48(1), 184–200.

Davis-Stober, C. P., Morey, R. D., Gretton, M., & Heathcote, A. (2016). Bayes factors for state-trace analysis. Journal of Mathematical Psychology, 72, 116–129.

Nuijten, M.B., Wetzels, R., Matzke, D., Dolan, C.V., & Wagenmakers, E.-J. (2015). A default Bayesian hypothesis test for mediation. Behavior Research Methods, 47, 85-97.

Matzke, D., Nieuwenhuis, S., van Rijn, H., Slagter, H.A, van der Molen, M.W., & Wagenmakers, E.-J. (2015). The effect of horizontal eye movements on free recall: A preregistered adversarial collaboration. Journal of Experimental Psychology: General, 144, e1-e15. [Supplementary Materials]

van Elk, M., Matzke, D., Gronau, Q, Guan, M., Vandekerckhove, J., & Wagenmakers, E.-J. (2015). Meta-analyses are no substitute for registered replications: A skeptical perspective on religious priming. Frontiers in Psychology: Personality and Social Psychology, 6:1365.

Rotteveel, M., Gierholz, A., Koch, G., van Aalst, C., Pinto, Y., Matzke, D., et al. (2015). On the automatic link between affect and tendencies to approach and avoid: Chen and Bargh (1999) revisited. Frontiers in Psychology: Cognition, 6:335.

Matzke, D., Dolan, C.V, Batchelder, W.H., & Wagenmakers, E.-J. (2015). Bayesian estimation of multinomial processing tree models with heterogeneity in participants and items. Psychometrika, 80, 205-235. Download Supplementary Materials.

Wagenmakers, E.-J., Beek, T.F., Rotteveel, M., Gierholz, A., Matzke, D., Steingrover, H., Ly, A., Verhagen,
A. J., Selker, R., Sasiadek, A., Gronau, Q.E., Love, J., & Pinto, Y. (2015). Turning the hands of time again: A purely confirmatory replication study and a Bayesian analysis. Frontiers in Psychology: Cognition, 6:494.

Wagenmakers, E.-J., Verhagen, A.J., Ly, A., Bakker, M., Lee, M.D., Matzke, D., et al. (2015). A power fallacy. Behavior Research Methods, 47, 913-917.

Nunez, M. D., Srinivasan, R. & Vandekerckhove, J. (2015). Individual differences in attention influence perceptual decision making. Frontiers in Psychology, 8, 18.

Rouder, J. N., Province, J. M., Morey, R. D., Gomez, P., & Heathcote, A. (2015). The lognormal race: A cognitive-process model of choice and latency with desirable psychometric properties. Psychometrika, 80(2), 491–513.

Heathcote, A., Loft, S., & Remington, R. W. (2015). Slow down and remember to remember! A delay theory of prospective memory costs. Psychological Review, 122(2), 376–410.

Conley, A. C., Marquez, J., Parsons, M. W., Fulham, W. R., Heathcote, A., & Karayanidis, F. (2015). Anodal tDCS over the motor cortex on prepared and unprepared responses in young adults. PLOS ONE, 10(5), e0124509.

Heathcote, A., Coleman, J. R., Eidels, A., Watson, J. M., Houpt, J., & Strayer, D. L. (2015). Working memory’s workload capacity. Memory & Cognition, 43(7), 973–989.

Trueblood, J. S., Brown, S. D., & Heathcote, A. (2015). The fragile nature of contextual preference reversals: Reply to Tsetsos, Chater, and Usher (2015). Psychological Review, 122(4), 848–853.

Provost, A., & Heathcote, A. (2015). Titrating decision processes in the mental rotation task. Psychological Review, 122(4), 735–754.

Terry, A., Marley, A. A. J., Barnwal, A., Wagenmakers, E.-J., Heathcote, A., & Brown, S. D. (2015). Generalising the drift rate distribution for linear ballistic accumulators. Journal of Mathematical Psychology, 68–69, 49–58.

Heathcote, A., Suraev, A., Curley, S., Gong, Q., Love, J., & Michie, P. T. (2015). Decision processes and the slowing of simple choices in schizophrenia. Journal of Abnormal Psychology, 124(4), 961–974. [Response to Editors/Reviewers]

Hawkins, G. E., Mittner, M., Boekel, W., Heathcote, A., & Forstmann, B. U. (2015). Toward a model-based cognitive neuroscience of mind wandering. Neuroscience, 310, 290–305.

Boehm, U., Van Maanen, L., Forstmann, B., & Van Rijn, H. (2014). Trial-by-trial fluctuations in CNV
amplitude reflect anticipatory adjustment of response caution. NeuroImage, 96, 95-105.

Matzke, D. (2014). Bayesian explorations in mathematical psychology. Doctoral dissertation.

de Groot, A.D. (1956/2014). The meaning of “significance” for different types of research. Translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L.J. van der Maas. Acta Psychologica, 148, 188-194.

Heathcote, A., Wagenmakers, E.-J., & Brown, S. D. (2014). The falsifiability of actual decision-making models. Psychological Review, 121(4), 676–678.

Rae, B., Heathcote, A., Donkin, C., Averell, L., & Brown, S. (2014). The hare and the tortoise: Emphasizing speed can change the evidence used to make decisions. Journal of Experimental Psychology. Learning, Memory, and Cognition, 40(5), 1226–1243.

Trueblood, J. S., Brown, S. D., & Heathcote, A. (2014). The multiattribute linear ballistic accumulator model of context effects in multialternative choice. Psychological Review, 121(2), 179–205.

Mullens, D., Woodley, J., Whitson, L., Provost, A., Heathcote, A., Winkler, I., & Todd, J. (2014). Altering the primacy bias—How does a prior task affect mismatch negativity? Psychophysiology, 51(5), 437–445.

Hawkins, G. E., Marley, A. A. J., Heathcote, A., Flynn, T. N., Louviere, J. J., & Brown, S. D. (2014). Integrating cognitive process and descriptive models of attitudes and preferences. Cognitive Science, 38(4), 701–735.

Poboka, D., Karayanidis, F., & Heathcote, A. (2014). Extending the Failure-to-Engage theory of task switch costs. Cognitive Psychology, 72, 108–141.

Hawkins, G. E., Marley, A. A. J., Heathcote, A., Flynn, T. N., Louviere, J. J., & Brown, S. D. (2014). The best of times and the worst of times are interchangeable. Decision, 1(3), 192–214.

Whitson, L. R., Karayanidis, F., Fulham, R., Provost, A., Michie, P. T., Heathcote, A., & Hsieh, S. (2014). Reactive control processes contributing to residual switch cost and mixing cost across the adult lifespan. Frontiers in Psychology, 5.

Cassey, P., Heathcote, A., & Brown, S. D. (2014). Brain and behavior in decision-making. PLOS Computational Biology, 10(7), e1003700.

Todd, J., Heathcote, A., Whitson, L. R., Mullens, D., Provost, A., & Winkler, I. (2014). Mismatch negativity (MMN) to pitch change is susceptible to order-dependent bias. Frontiers in Neuroscience, 8:180.

Mittner, M., Boekel, W., Tucker, A. M., Turner, B. M., Heathcote, A., & Forstmann, B. U. (2014). When the brain takes a break: A model-based analysis of mind wandering. Journal of Neuroscience, 34(49), 16286–16295.

Matzke, D., Dolan, C.V, Logan, G.D., Brown, S.D., & Wagenmakers, E.-J. (2013). Bayesian parametric estimation of stop-signal reaction time distributions. Journal of Experimental Psychology: General, 142, 1047-1073. [Supplementary Materials]

Matzke, D., Love, J., Wiecki, T.V., Brown, S.D., Logan, G.D., & Wagenmakers, E.-J. (2013). Release the BEESTS: Bayesian ex-Gaussian estimation of stop-signal reaction time distributions. Frontiers in Psychology: Quantitative Psychology and Measurement, 4:918. Download BEESTS [Supplementary Materials]

Bakker, M., Cramer, A.O.J., Matzke, D., Kievit, R.A., van der Maas, H.L.J., Wagenmakers, E.-J., & Borsboom, D. (2013). Dwelling on the past. European Journal of Personality, 27, 120-144.

Trueblood, J. S., Brown, S. D., Heathcote, A., & Busemeyer, J. R. (2013). Not just for consumers: Context effects are fundamental to decision making. Psychological Science, 24(6), 901–908.

Provost, A., Johnson, B., Karayanidis, F., Brown, S. D., & Heathcote, A. (2013). Two routes to expertise in mental rotation. Cognitive Science, 37(7), 1321–1342.

Todd, J., Heathcote, A., Mullens, D., Whitson, L. R., Provost, A., & Winkler, I. (2014). What controls gain in gain control? Mismatch negativity (MMN), priors and system biases. Brain Topography, 27(4), 578–589.

Prince, M., Brown, S., & Heathcote, A. (2012). The design and analysis of state-trace experiments. Psychological Methods, 17(1), 78–99.

Heathcote, A., & Hayes, B. (2012). Diffusion versus linear ballistic accumulation: Different models for response time with different conclusions about psychological mechanisms? Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 66(2), 125–136.

Heathcote, A., & Love, J. (2012). Linear deterministic accumulator models of simple choice. Frontiers in Psychology, 3.

Prince, M., Hawkins, G., Love, J., & Heathcote, A. (2012). An R package for state-trace analysis. Behavior Research Methods, 44(3), 644–655.

Todd, J., Provost, A., Whitson, L. R., Cooper, G., & Heathcote, A. (2012). Not so primitive: Context-sensitive meta-learning about unattended sound sequences. Journal of Neurophysiology, 109(1), 99–105.

Wetzels, R., Matzke, D., Lee, M.D., Rouder, J.N., Iverson, G.J., & Wagenmakers, E.-J. (2011). Statistical evidence in experimental psychology: An empirical comparison using 855 t tests. Perspectives on Psychological Science, 6, 291-298.

Donkin, C., Brown, S., Heathcote, A., & Wagenmakers, E.-J. (2011). Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes? Psychonomic Bulletin & Review, 18(1), 61–69.

Averell, L., & Heathcote, A. (2011). The form of the forgetting curve and the fate of memories. Journal of Mathematical Psychology, 55(1), 25–35.

Karayanidis, F., Provost, A., Brown, S., Paton, B., & Heathcote, A. (2011). Switch-specific and general preparation map onto different ERP components in a task-switching paradigm. Psychophysiology, 48(4), 559–568.

Donkin, C., Brown, S., & Heathcote, A. (2011). Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator. Journal of Mathematical Psychology, 55(2), 140–151.

Karayanidis, F., Whitson, L. R., Heathcote, A., & Michie, P. T. (2011). Variability in proactive and reactive cognitive control processes across the adult lifespan. Frontiers in Psychology, 2: 318.

Dodds, P., Donkin, C., Brown, S. D., Heathcote, A., & Marley, A. A. J. (2011). Stimulus-specific learning: Disrupting the bow effect in absolute identification. Attention, Perception, & Psychophysics, 73(6), 1977–1986.

Mansfield, E. L., Karayanidis, F., Jamadar, S., Heathcote, A., & Forstmann, B. U. (2011). Adjustments of response threshold during task switching: A model-based functional magnetic resonance imaging study. Journal of Neuroscience, 31(41), 14688–14692.

Dodds, P., Donkin, C., Brown, S. D., & Heathcote, A. (2011). Increasing capacity: Practice effects in absolute identification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(2), 477–492.

Matzke, D., Dolan, C.V., & Molenaar, D. (2010). The issue of power in the identification of “g” with lower-order factors. Intelligence, 38, 336-344.

Freeman, E., Heathcote, A., Chalmers, K., & Hockley, W. (2010). Item effects in recognition memory for words. Journal of Memory and Language, 62(1), 1–18.

Heathcote, A., Bora, B., & Freeman, E. (2010). Recollection and confidence in two-alternative forced choice episodic recognition. Journal of Memory and Language, 62(2), 183–203.

Smith, J. L., Smith, E. A., Provost, A. L., & Heathcote, A. (2010). Sequence effects support the conflict theory of N2 and P3 in the Go/NoGo task. International Journal of Psychophysiology, 75(3), 217–226.

Karayanidis, F., Jamadar, S., Ruge, H., Phillips, N., Heathcote, A., & Forstmann, B. U. (2010). Advance preparation in task-switching: Converging evidence from behavioral, brain activation, and model-based approaches. Frontiers in Psychology, 1:25.

Heathcote, A., Brown, S., Wagenmakers, E. J., & Eidels, A. (2010). Distribution-free tests of stochastic dominance for small samples. Journal of Mathematical Psychology, 54(5), 454–463.

Eidels, A., Donkin, C., Brown, S. D., & Heathcote, A. (2010). Converging measures of workload capacity. Psychonomic Bulletin & Review, 17(6), 763–771.

Matzke, D., & Wagenmakers, E.-J. (2009). Psychological interpretation of the ex-Gaussian and shifted Wald parameters: A diffusion model analysis. Psychonomic Bulletin & Review, 16, 798-817. Download Supplementary Materials.

Karayanidis, F., Mansfield, E. L., Galloway, K. L., Smith, J. L., Provost, A., & Heathcote, A. (2009). Anticipatory reconfiguration elicited by fully and partially informative cues that validly predict a switch in task. Cognitive, Affective, & Behavioral Neuroscience, 9(2), 202–215.

Donkin, C., Brown, S. D., & Heathcote, A. (2009). ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set. Behavior Research Methods, 41(1), 154–162.

Donkin, C., Brown, S. D., Heathcote, A., & Marley, A. A. J. (2009). Dissociating speed and accuracy in absolute identification: The effect of unequal stimulus spacing. Psychological Research, 73(3), 308–316.

Donkin, C., Averell, L., Brown, S., & Heathcote, A. (2009). Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator. Behavior Research Methods, 41(4), 1095–1110.

Donkin, C., Brown, S. D., & Heathcote, A. (2009). The overconstraint of response time models: Rethinking the scaling problem. Psychonomic Bulletin & Review, 16(6), 1129–1135.

Brown, S. D., Marley, A. A. J., Dodds, P., & Heathcote, A. (2009). Purely relative models cannot provide a general account of absolute identification. Psychonomic Bulletin & Review, 16(3), 583–593.

Heathcote, A., Freeman, E., Etherington, J., Tonkin, J., & Bora, B. (2009). A dissociation between similarity effects in episodic face recognition. Psychonomic Bulletin & Review, 16(5), 824–831.

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., Ditton, E., & Mitchell, K. (2006). Word frequency and word likeness mirror effects in episodic recognition memory. Memory & Cognition, 34(4), 826–838.

Heathcote, A., Raymond, F., & Dunn, J. (2006). Recollection and familiarity in recognition memory: Evidence from ROC curves. Journal of Memory and Language, 55(4), 495–514.

Heathcote, A., & Elliott, D. (2005). Nonlinear dynamical analysis of noisy time series. Nonlinear Dynamics, Psychology, and Life Sciences, 9(4), 399–433.

Brown, S., & Heathcote, A. (2005). A ballistic model of choice response time. Psychological Review, 112(1), 117–128.

Brown, S., & Heathcote, A. (2005). Practice increases the efficiency of evidence accumulation in perceptual choice. Journal of Experimental Psychology. Human Perception and Performance, 31(2), 289–298.

Heathcote, A., Brown, S., & Cousineau, D. (2004). QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound. Behavior Research Methods, Instruments, & Computers, 36(2), 277–290.

Heathcote, A. (2004). Fitting Wald and ex-Wald distributions to response time data: An example using functions for the S-PLUS package. Behavior Research Methods, Instruments, & Computers, 36(4), 678–694.

Cousineau, D., Brown, S., & Heathcote, A. (2004). Fitting distributions using maximum likelihood: Methods and packages. Behavior Research Methods, Instruments, & Computers, 36(4), 742–756.

Heathcote, A., & Brown, S. (2004). Beyond curve fitting? Comment on Liu, Mayer-Kress, and Newell (2003). Journal of Motor Behavior, 36(2), 225–232.

Heathcote, A., & Brown, S. (2004). Reply to Speckman and Rouder: A theoretical basis for QML. Psychonomic Bulletin & Review, 11(3), 577–578.

Brown, S., & Heathcote, A. (2003). Averaging learning curves across and within participants. Behavior Research Methods, Instruments, & Computers, 35(1), 11–21.

Brown, S., & Heathcote, A. (2003). QMLE: Fast, robust, and efficient estimation of distribution functions based on quantiles. Behavior Research Methods, Instruments, & Computers, 35(4), 485–492.

Brown, S., & Heathcote, A. (2003). Bias in exponential and power function fits due to noise: Comment on Myung, Kim, and Pitt. Memory & Cognition, 31(4), 656–661.

Heathcote, A. (2003). Item recognition memory and the receiver operating characteristic. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(6), 1210–1230.

Karayanidis, F., Coltheart, M., Michie, P. T., & Murphy, K. (2003). Electrophysiological correlates of anticipatory and poststimulus components of task switching. Psychophysiology, 40(3), 329–348.

Heathcote, A., Brown, S., & Mewhort, D. J. K. (2002). Quantile maximum likelihood estimation of response time distributions. Psychonomic Bulletin & Review, 9(2), 394–401.

Heathcote, A. (2002). An introduction to the art. Review of “Nonlinear Dynamics: Techniques and Applications in Psychology” by R. H. Heath. Journal of Mathematical Psychology, 46(5), 609–628.

Brown, S., & Heathcote, A. (2002). On the use of nonparametric regression in assessing parametric regression models. Journal of Mathematical Psychology, 46(6), 716–730.

Sheu, C.-F., & Heathcote, A. (2001). A nonlinear regression approach to estimating signal detection models for rating data. Behavior Research Methods, Instruments, & Computers, 33(2), 108–114.

Kelly, A., Heathcote, A., Heath, R., & Longstaff, M. (2001). Response-Time Dynamics: Evidence for Linear and Low-Dimensional Nonlinear Structure in Human Choice Sequences. The Quarterly Journal of Experimental Psychology Section A, 54(3), 805–840.

Andrews, S., & Heathcote, A. (2001). Distinguishing common and task-specific processes in word identification: A matter of some moment? Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(2), 514–544.

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.

Hill, J., Rolfe, I. E., Pearson, S.-A., & Heathcote, A. (1998). Do junior doctors feel they are prepared for hospital practice? A study of graduates from traditional and non-traditional medical schools. Medical Education, 32(1), 19–24.

Carr, S. C., MacLachlan, M., Heathcote, A., & Heath, R. A. (1997). The approaches to study inventory in Malawi: A lesson for educational testing? Psychological Teaching Review, 6, 157–164.

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

Heathcote, A., & Mewhort, D. J. (1993). Representation and selection of relative position. Journal of Experimental Psychology. Human Perception and Performance, 19(3), 488–516.

Heathcote, A., Popiel, S. J., & Mewhort, D. J. (1991). Analysis of response time distributions: An example using the Stroop task. Psychological Bulletin, 109(2), 340–347.

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.

Heathcote, A. (1988). Screen control and timing routines for the IBM microcomputer family using a high-level language. Behavior Research Methods, Instruments, & Computers, 20(3), 289–297.

McNicol, D. & Heathcote, A. (1986).  Representation of order information: An analysis of grouping effects in short-term memory. .Journal of Experimental Psychology: General, 115, 76-95.