I am associate professor at the Psychological Methods Unit of the University of Amsterdam. I received my PhD in Mathematical Psychology in 2014 at the University of Amsterdam. My work focuses on the development of complex cognitive models using mathematical and computational methods. My models enable researchers to disentangle the cognitive processes that underlie human decision making in general, and the ability to stop inappropriate responses in particular. My research attests to my conviction that the best—if not only—way forward for cognitive psychology is through the development and application of formal mathematical models that enable the precise measurement of psychological constructs and the rigorous empirical evaluation of theories.
Publications by Dora Matzke
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.
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.
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.
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.
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.
Tanis, C.C., Heathcote, A., Zrubka, M., & Matzke, D. (2022). A hybrid approach to dynamic cognitive psychometrics. Manuscript submitted for publication.
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.
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.
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.
Heathcote, A. & Matzke, D. (2023). The limits of marginality. Computational Brain & Behavior, 6, 28–34.
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.
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.
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.
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.
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.
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.
Damaso, K.A.M., Castro, S.C., Todd, J., Strayer, D.L., Provost, A., Matzke, D., & Heathcote, A.J. (2022). A cognitive model of response omissions in distraction paradigms. Memory & Cognition, 50, 962-978. [Supplementary Materials]
Heathcote, A., Hannah, K., & Matzke, D. Priming and variable control in choice conflict tasks. (2021). Manuscript submitted for publication.
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.
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.
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.
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.
Stephens, R.G., Matzke, D., & Hayes, B.K. State-trace analysis – misrepresented and misunderstood: Reply to Ashby (2020). Journal of Mathematical Psychology, 96, 102342.
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.
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.
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.
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.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]
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.
van Doorn, J., Matzke, D., & Wagenmakers, E.-J. (2020). An in-class demonstration of Bayesian inference. Psychology Learning and Teaching, 9, 36–45.
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.
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.
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]
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]
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.
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.
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]
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.
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.
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.
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.
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]
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.
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.
Matzke, D., Verbruggen, F., & Logan, G. (2018). The stop-signal paradigm. In E.-J. Wagenmakers & J.T. Wixted (Eds.), Stevens’ handbook of experimental psychology and cognitive neuroscience, Volume five: Methodology (4th ed., pp. 383-427). John Wiley & Sons, Inc.
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.
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.
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.
Matzke, D., Boehm, U., & Vandekerckhove, J. (2018). Bayesian inference for psychology. Part III: Parameter estimation in nonstandard models. Psychonomic Bulletin & Review, 25, 77-101.
Ly, A., Boehm, U., Heathcote, A., Turner, B.M., Forstmann, B., Marsman, M., & Matzke, D. (2018). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A.A. Moustafa (Ed.), Computational models of brain and behavior (pp. 467-480). Wiley Blackwell.
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.
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]
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.
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.
Wagenmakers, E.-J., Verhagen, A.J., Ly, A., Matzke, D., Steingroever, H., Rouder, J.N., & Morey, R.D. (2017). The need for Bayesian hypothesis testing in psychological science. In S.O. Lilienfeld & I. Waldman (Eds.), Psychological science under scrutiny: Recent challenges and proposed solutions (pp. 123-138). John Wiley and Sons.
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.
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.
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.
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.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.
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.
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]
Vandekerckhove, J., Matzke, D., & Wagenmakers, E.-J. (2015). Model comparison and the principle of parsimony. In J. R. Busemeyer, J. T. Townsend, Z. J. Wang, & A. Eidels (Eds.), The Oxford handbook of computational and mathematical psychology (pp. 300-319). Oxford University Press. [code for computing MDL and Bayes factors]
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.
Love, J., Selker, R., Verhagen, J., Marsman, M., Gronau, Q.F., Jamil, T., …, Matzke, D., et al. (2015). Software to sharpen your stats. APS Observer, 28, 27-29.
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.
Matzke, D. (2014). Bayesian explorations in mathematical psychology. Doctoral dissertation.
Matzke, D., Lee, M.D., & Wagenmakers, E.-J. (2013). Signal detection theory: Parameter expansion. In M.D. Lee, & E.-J. Wagenmakers, Bayesian cognitive modeling: A practical course (pp. 164-167). Cambridge University Press.
Matzke, D., Lee, M.D., & Wagenmakers, E.-J. (2013). Getting started with WinBUGS. In M.D. Lee, & E.-J. Wagenmakers, Bayesian cognitive modeling: A practical course (pp. 16-34). Cambridge University Press.
Matzke, D., Lee, M.D., & Wagenmakers, E.-J. (2013). Multinomial processing trees. In M.D. Lee, & E.-J. Wagenmakers, Bayesian cognitive modeling: A practical course (pp. 187-195). Cambridge University Press.
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.
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]
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]
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.
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.
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.