Stefan, A. M., Knibb, G., & Evans, N. J. (Submitted). Teaching types of sums of squares in ANOVA: As easy as I, II, III? A survey and shiny app.
Hadian Rasanan, A. H., & Evans, N. J. (Submitted). A noisy guessing mixture circular diffusion model of visual working memory.
Hadian Rasanan, A. H., Evans, N. J., & Rieskamp, J. (Submitted). JEAM: A framework and tutorial for applying evidence accumulation models to continuous judgments.
Campdepadrós Barrios, J., Evans, N. J., Yang, J., Speer, S. P. H., Keysers, C., & Gazzola, V. (Submitted). Gender and harm-representation effects in morally conflictual learning are small and uncertain.
Dendauw, E., Evans, N. J., Michel, E., Garnier-Allain, A., Gajdos Preuss, T.*, & Servant, M.* (Submitted). Deciding with muscles.
Hadian Rasanan, A. H., Seitz, F. I., Evans, N. J., & Rieskamp, J. (Submitted). Deep sequential sampling model: A data-driven cognitive modeling approach.
Stevenson, N., Evans, N. J., Donzallaz, M. C., Matzke, D., & Heathcote, A. (Accepted). Throw your response times in the bin: Accounting for measurement noise in response time modeling. Behavior Research Methods.
Wang, J., Evans, N. J., & Donkin, C. (Accepted). Self-excitation provides an alternative account of the speed-accuracy trade-off in decision making. Psychological Science.
Stefan, A. M., Pirrone, A., & Evans, N. J. (2026). All illusions are wrong, but some are useful. Computational Brain & Behavior, 9, 408–410.
Alister, M., & Evans, N. J. (2026). A diffusion-based framework for modelling systematic, time-varying cognitive processes. Psychological Review, 133, 1251–1273.
Stone, C., Mattingley, J. B., Evans, N. J., & Rangelov, D. (2026). Cognitive training increases sensitivity to internal uncertainty during decision-making. Journal of Neurophysiology, 136, 664–678.
Thomas, L., Scerif, G., Yusuf, H., Laird, M., Taylor, G., Evans, N. J.*, & Manning, C.* (2026). Autistic and non-autistic children’s perceptual decision-making in visual orientation and motion tasks and the effect of task instructions. Attention, Perception, & Psychophysics, 88, 188.
Taylor, G. J., & Evans, N. J. (2026). Lateral inhibition provides a better explanation of double responding than feed-forward inhibition or inhibition-free mechanisms. Journal of Mathematical Psychology, 129, 102986.
Pirrone, A., Sala, G., & Evans, N. J. (2025). High-value decisions are made quickly, with no consistent effect on accuracy. PNAS Nexus, 4, pgaf363.
Hadian Rasanan, A. H., Evans, N. J., Rad, J. A., & Rieskamp, J. (2025). Parameter estimation of hyper-spherical diffusion models with a time-dependent threshold: An integral equation method. Behavior Research Methods, 57, 283.
Yusuf, H., Evans, N. J., Taylor, G., Cameron, A., Greenhalgh, J., Thomas, L. J., Scerif, G., & Manning, C. (2025). Perceptual decision-making in autistic and non-autistic adults and relationship with autism- and ADHD-related traits. Neurodiversity, 3, 27546330251370662.
Taylor, G. J., Brown, S. D., & Evans, N. J. (2025). People are at least as good at optimizing reward rate under equivalent fixed-trial compared to fixed-time conditions. Psychonomic Bulletin & Review, 32, 2124–2135.
Boag, R. J.*, Innes, R. J.*, Stevenson, N., Bahg, G., Busemeyer, J. R., Cox, G. E., Donkin, C., Frank, M. J., Hawkins, G. E., Heathcote, A., Hedge, C., Lerche, V., Lilburn, S. D., Logan, G. D., Matzke, D., Miletić, S., Osth, A. F., Palmeri, T. J., Sederberg, P. B., Singmann, H., Smith, P. L., Stafford, T., Steyvers, M., Strickland, L., Trueblood, J. S., Tsetsos, K., Turner, B. M., Usher, M., van Maanen, L., van Ravenzwaaij, D., Vanderkerckhove, J., Voss, A., Weichart, E. R., Weindel, G., White, C. N., Evans, N. J.^, Brown, S. D.^, & Forstmann, B. U.^ (2025). An expert guide to planning experimental tasks for evidence accumulation modelling. Advances in Methods and Practices in Psychological Science, 8, 25152459251336127.
McKay, K. T., Henry, J. D., Demichelis, O. P., Marinic, R. K., Evans, N. J., & Grainger, S. A. (2025). Attention to direct gaze in young and older adulthood. Consciousness and Cognition, 131, 103854.
Hadian Rasanan, A. H., Evans, N. J., Rieskamp, J., & Rad, J. A. (2024). Response time and accuracy modeling through the lens of fractional dynamics: A foundational primer. In Computation and Modeling for Fractional Order Systems (pp. 1-27). Academic Press.
Boehm, U.*, Evans, N. J.*, Gronau, Q. F., Matzke, D., Wagenmakers E.-J., & Heathcote, A. (2024). Inclusion Bayes factors for mixed hierarchical diffusion decision models. Psychological Methods, 29, 625–655.
Hadian Rasanan, A. H.*, Evans, N. J.*, Fontanesi, L., Manning, C., Huang-Pollock, C., Matzke, D., Heathcote, A., Rieskamp, J., Speekenbrink, M., Frank, M. J., Palminteri, S., Lucas, C. G., Busemeyer, J. R., Ratcliff, R., Rad, J. A. (2024). Beyond discrete-choice options. Trends in Cognitive Sciences, 28, 857–870.
Markovitch, B., Evans, N. J., & Birk, M. V. (2024). The value of error-correcting responses for cognitive assessment in games. Scientific Reports, 14, 20657.
Dendauw, E., Evans, N. J., Logan, G. D., Haffen, E., Bennabi, E., Gajdos, T.*, & Servant, M.* (2024). The gated cascade diffusion model: An integrated theory of decision-making, motor preparation, and motor execution. Psychological Review, 131, 825–857.
Taylor, G. J., Nguyen, A. T., & Evans, N. J. (2024). Does allowing for changes of mind influence initial responses? Psychonomic Bulletin & Review, 31, 1142–1154.
Howard, Z. L., Fox, E., Evans, N. J., Loft, S., & Houpt, J. (2024). An extension of the shifted Wald model of human response times: Capturing the time dynamic properties of human cognition. Psychonomic Bulletin & Review, 31, 1057–1077.
Braund, T. A., Baker, S. T. E., Subotic-Kerry, M., Tillman, G., Evans, N. J., Mackinnon, A., Christensen, H., & O’Dea, B. (2024). Potential mental health-related harms associated with the universal screening of anxiety and depressive symptoms in Australian secondary schools. Child and Adolescent Psychiatry and Mental Health, 18, 46.
Alister, M., McKay, K. T., Sewell, D. K., & Evans, N. J. (2024). Uncovering the cognitive mechanisms underlying the gaze cueing effect. Quarterly Journal of Experimental Psychology, 77, 803–827.
Ballard, T., Evans, N. J., Fisher, G., & Sewell, D. K. (2024). Using mixture modeling to examine differences in perceptual decision-making as a function of the time and method of participant recruitment. Behavior Research Methods, 56, 2194–2212.
Schumann, C. A., Evans, N. J.*, & Robinson, G. A.* (2024). Interference and attentional switching in aging. Neuropsychology, 38, 81–95.
Hadian Rasanan, A. H., Evans, N. J., Rieskamp, J., & Rad, J. A. (2023). Numerical approximation of the first-passage time distribution of time-varying diffusion models: A mesh-free approach. Engineering Analysis with Boundary Elements, 151, 227–243.
Fornari, L.*, Ioumpa, K.*, Nostro, A. D.^, Evans, N. J.^, De Angelis, L., Paracampo, R., Gallo, S., Spezio, M., Keysers, C.+, & Gazzola, V.+ (2023). Neuro-computational mechanisms of action-outcome learning under moral conflict. Nature Communications, 14, 1218.
Evans, N. J., & Servant, M. (2022). A model-based approach to disentangling facilitation and interference effects in conflict tasks. Psychological Review, 129, 1183–1209.
Stefan, A. M., Schönbrodt, F. D., Evans, N. J., & Wagenmakers, E.-J. (2022). Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test. Behavior Research Methods, 54, 3100–3117.
Stefan, A. M., Evans, N. J., & Wagenmakers, E.-J. (2022). Practical challenges and methodological flexibility in prior elicitation. Psychological Methods, 27, 177–197. [Preprint] [Code]
Manning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., Wagenmakers, E.-J., Evans, N. J.*, & Scerif, G.* (2022). Behavioural and neural indices of perceptual decision-making in autistic children during visual motion tasks. Scientific Reports, 12, 6072.
Manning, C., Hassall, C. D., Hunt, L. T., Norcia, A. M., Wagenmakers, E.-J., Snowling, M. J., Scerif, G.*, & Evans, N. J.* (2022). Visual motion and decision-making in dyslexia: Evidence of reduced accumulation of sensory evidence and related neural dynamics. Journal of Neuroscience, 42, 121–134.
van Doorn, J., van den Bergh, D., Dablander, F., van Dongen, N., Derks, K., Evans, N. J., Gronau, Q. F., Haaf, J. M., Kunisato, Y., Ly, A., Marsman, M., Sarafoglou, A., Stefan, A., & Wagenmakers, E.-J. (2021). Strong public claims may not reflect researchers’ private convictions. Significance, 18, 44– 45.
Servant, M., Logan, G. D.*, Gajdos, T.*, & Evans, N. J.* (2021). An integrated theory of deciding and acting. Journal of Experimental Psychology: General, 150, 2435–2454.
Crüwell, S., & Evans, N. J. (2021). Preregistration in complex contexts: A preregistration template for the application of cognitive models. Royal Society Open Science, 8, 210155. [Preprint] [Data+Code]
Evans, N. J. (2021). Think fast! The implications of emphasizing urgency in decision-making. Cognition, 214, 104704. [Preprint] [Data+Code]
van Doorn, J., van den Bergh, D., Boehm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharsky, S., Ly, A., Marsman, M., Matzke, D., Raj, A., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28, 813–826. [Preprint] [Data+Code]
Innes, R. J., Evans, N. J., Howard, Z. L., Eidels, A., & Brown, S. D. (2021). A broader application of the detection response task to cognitive tasks and online environments. Human Factors, 63, 896–909. [Preprint]
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, 160–186. [Preprint]
Evans, N. J., Holmes, W. R., Dasari, A., & Trueblood, J. S. (2021). The impact of information order on the attraction effect in decision-making. Decision, 8, 36–54.
Howard, Z. L., Evans, N. J., Innes, R. J., Brown, S. D., & Eidels, A. (2020). Is multitasking just a form of difficulty? Psychonomic Bulletin & Review, 27, 937–951. [Preprint]
Evans, N. J., Tillman, G., & Wagenmakers, E.-J. (2020). Systematic and random sources of variability in perceptual decision-making: Comment on Ratcliff, Voskuilen, and McKoon (2018). Psychological Review, 127, 932–944. [Preprint] [Code]
Boehm, U., van Maanen, L., Evans, N. J., Brown, S. D., & Wagenmakers, E.-J. (2020). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception, & Psychophysics, 82, 1520–1534. [Preprint] [Data+Code]
Lin, H., Saunders, B., Friese, M., Evans, N. J., & Inzlicht, M. (2020). Strong effort manipulations reduce response caution: A preregistered reinvention of the ego-depletion paradigm. Psychological Science, 31, 531–547. [Preprint] [Data+Code]
Servant, M., & Evans, N. J. (2020). A diffusion model analysis of the effects of aging in the flanker task. Psychology and Aging, 35, 831–849. [Preprint] [Data+Code]
Evans, N. J. (2020). What factors are most important in finding the best model of a psychological process? Comment on Navarro (2019). Meta-Psychology, 4, MP.2019.2238. [Preprint]
Evans, N. J., & Wagenmakers, E.-J. (2020). Evidence accumulation models: Current limitations and future directions. The Quantitative Methods for Psychology, 16, 73–90. [Preprint]
Evans, N. J., Dutilh, G., Wagenmakers, E.-J., & van der Maas, H. L. J. (2020). Double responding: A new constraint for models of speeded decision making. Cognitive Psychology, 121, 101292. [Preprint] [Data+Code]
Evans, N. J., Trueblood, J. S., & Holmes, W. R. (2020). A parameter recovery assessment of time-variant models of decision-making. Behavior Research Methods, 52, 193–206. [Preprint] [Code]
Evans, N. J., Hawkins, G. E., & Brown, S. D. (2020). The role of passing time in decision-making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 46, 316–326. [Preprint] [Data+Code]
Evans, N. J., & Servant, M. (2020). A comparison of conflict diffusion models in the flanker task through pseudolikelihood Bayes factors. Psychological Review, 127, 114–135. [Preprint] [Data+Code]
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., Huff, M. J., Kellen, D., Key, K. N., Kilic, A., Klauer, K. C., Kraemer, K. R., Leite, F. P., Lloyd, M. E., Malejka, S., Mason, A., McAdoo, R. M., McDonough, I. M., Michael, R. B., Mickes, L., Mizrak, E., Morgan, D. P., Mueller, S. T., Osth, A., Reynolds, A., Seale-Carlisle, T. M., Singmann, H., Sloane, J. F., Smith, A. M., Tillman, G., van Ravenzwaaij, D., Weidemann, C. T., Wells, G. L., White, C. N., Wilson, J. (2019). Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis. Advances in Methods and Practices in Psychological Science, 2, 335–349. [Data]
Tillman, G., & Evans, N. J. (2019). Hierarchical Bayesian mixture models of processing architectures and stopping rules. Journal of Mathematical Psychology, 92, 102267. [Preprint]
Crüwell, S., Stefan, A. M., & Evans, N. J. (2019). Robust standards in cognitive science. Computational Brain & Behavior, 2, 255–265. [Preprint]
Evans, N. J. (2019). A method, framework, and tutorial for efficiently simulating models of decision-making. Behavior Research Methods, 51, 2390–2404. [Preprint] [Code]
Evans, N. J. (2019). Assessing the practical differences between model selection methods in inferences about choice response time tasks. Psychonomic Bulletin & Review, 26, 1070–1098. [Preprint] [Data+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., van Ravenzwaaij, D., Vandekerckhove, J., Visser, I., Voss, A., White, C. N., Wiecki, T. V., Rieskamp, J., Donkin, C. (2019). The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin & Review, 26, 1051–1069. [Data+Code]
Evans, N. J., Bennett, A. J., & Brown, S. D. (2019). Optimal or not; depends on the task. Psychonomic Bulletin & Review, 26, 1027–1034. [Preprint] [Data+Code]
Evans, N. J., Holmes, W. R., & Trueblood, J. S. (2019). Response time data provides critical constraints on dynamic models of multi-alternative, multi- attribute choice. Psychonomic Bulletin & Review, 26, 901–933. [Preprint] [Data+Code]
Evans, N. J., & Wagenmakers, E.-J. (2019). Theoretically meaningful models can answer clinically relevant questions. Brain, 142, 1172–1175.
Evans, N. J., & Annis, J. (2019). Thermodynamic integration via differential evolution: A method for estimating marginal likelihoods. Behavior Research Methods, 51, 930–947. [Preprint] [Data+Code]
Annis, J., Evans, N. J., Miller, B. J., & Palmeri, T. J. (2019). Thermodynamic integration and steppingstone sampling methods for computing Bayes factors: A tutorial. Journal of Mathematical Psychology, 89, 67–86. [Preprint] [Data+Code]
Evans, N. J., & Hawkins, G. E. (2019). When humans behave like monkeys: Feedback delays and extensive practice increase the efficiency of speeded decisions. Cognition, 184, 11–18. [Preprint] [Data+Code]
Knowles, J. P., Evans, N. J., & Burke, D. (2019). Some evidence for an association between early life adversity and decision urgency. Frontiers in Psychology, 10, 243. [Data+Code]
Evans, N. J., Steyvers, M., & Brown, S. D. (2018). Modelling the covariance structure of complex data sets using cognitive models: An application to individual differences and the heritability of cognitive ability. Cognitive Science, 42, 1925–1944. [Preprint] [Code]
Evans, N. J., Brown, S. D., Mewhort, D. J. K., & Heathcote, A. (2018). Refining the law of practice. Psychological Review, 125, 592–605. [Preprint] [Data+Code]
Evans, N. J., & Brown, S. D. (2018). Bayes factors for the linear ballistic accumulator model of decision-making. Behavior Research Methods, 50, 589–603. [Preprint] [Data+Code]
Dennis, S., Yim, H., Sreekumar, V., Evans, N. J., Garrett, P., & Sederberg, P. (2017). A hierarchical Bayesian model of memory for “when” based on experience sampling data. Proceedings of the 39th Annual Conference of the Cognitive Science Society.
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, 16433. [Preprint] [Data+Code]
Evans, N. J., Rae, B., Bushmakin, M., Rubin, M., & Brown, S. D. (2017). Need for closure is associated with urgency in perceptual decision-making. Memory & Cognition, 45, 1193–1205. [Preprint] [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, 339–345. [Preprint]
Evans, N. J., & Brown, S. D. (2017). People adopt optimal policies in simple decision-making, after practice and guidance. Psychonomic Bulletin & Review, 24, 597–606. [Preprint] [Data+Code]
Tillman, G., Braund, T. A., & Evans, N. J. (In Limbo as of 2024). An empirical exploration of fast and slow errors at group and subject levels in speeded decision-making.
Hadian Rasanan, A. H., Evans, N. J., Padash, A., & Rad, J. A. (In Limbo as of 2022). Race lévy flights: A mathematically tractable framework for studying heavy tailed accumulation noise.
Evans, N. J. (In Limbo as of 2020). Same model, different conclusions: An identifiability issue in the linear ballistic accumulator model of decision-making. [Preprint]