Evans, N. J. (Submitted). Same model, different conclusions: An identifiability issue in the linear ballistic accumulator model of decision-making. [Preprint]
Tillman, G., Braund, T. A., & Evans, N. J. (Submitted). An empirical exploration of fast and slow errors at group and subject levels in speeded decision-making.
Boehm, U.*, Evans, N. J.*, Gronau, Q. F., Matzke, D., Wagenmakers E.-J., & Heathcote, A. (Submitted). Computing and using inclusion Bayes factors for mixed, fixed, and random effect diffusion decision models.
Fornari, L.*, Ioumpa, K.*, Nostro, A. D.^, Evans, N. J.^, De Angelis, L., Paracampo, R., Gallo, S., Spezio, M., Keysers, C.+, & Gazzola, V.+ (Submitted). Neuro-computational mechanisms of action-outcome learning under moral conflict.
Schumann, C. A., Evans, N. J.*, & Robinson, G. A.* (Submitted). Processing, encoding, and sensorimotor factors drive response times of older adults on switch tasks containing interference.
Alister, M., McKay, K. T., Sewell, D. K., & Evans, N. J. (Submitted). An evidence accumulation account of the cognitive processes underlying the gaze cueing effect: A computational modelling investigation.
Ballard, T., Evans, N. J., Fisher, G., & Sewell, D. K. (Submitted). Using mixture modeling to examine differences in perceptual decision-making as a function of the time and method of participant recruitment.
Hadian Rasanan, A. H., Evans, N. J., Padash, A., & Rad, J. A. (Submitted). Race lévy flights: A mathematically tractable framework for studying heavy tailed accumulation noise.
Evans, N. J., & Servant, M. (In press). A model-based approach to disentangling facilitation and interference effects in conflict tasks. Psychological Review.
Stefan, A. M., Schönbrodt, F. D., Evans, N. J., & Wagenmakers, E.-J. (In press). Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test. Behavior Research Methods.
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]