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]

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.

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.

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.