Dr Nathan Evans

Evans, Nathan J., Holmes, William R., Dasari, Aneesha and Trueblood, Jennifer S. (2021). The impact of presentation order on attraction and repulsion effects in decision-making. Decision (Washington), 8 (1), 36-54. doi: 10.1037/dec0000144

Trueblood, Jennifer S., Heathcote, Andrew, Evans, Nathan J. and Holmes, William R. (2021). Urgency, leakage, and the relative nature of information processing in decision-making. Psychological Review, 128 (1), 160-186. doi: 10.1037/rev0000255

van Doorn, Johnny, van den Bergh, Don, Bohm, Udo, Dablander, Fabian, Derks, Koen, Draws, Tim, Etz, Alexander, Evans, Nathan J., Gronau, Quentin F., Haaf, Julia M., Hinne, Max, Kucharsky, Simon, Ly, Alexander, Marsman, Maarten, Matzke, Dora, Gupta, Akash R. Komarlu Narendra, Sarafoglou, Alexandra, Stefan, Angelika, Voelkel, Jan G. and Wagenmakers, Eric-Jan (2020). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin and Review, 28 (3), 813-826. doi: 10.3758/s13423-020-01798-5

Evans, Nathan J., Tillman, Gabriel and Wagenmakers, Eric-Jan (2020). Systematic and random sources of variability in perceptual decision-making: comment on Ratcliff, Voskuilen, and McKoon (2018). Psychological Review, 127 (5), 932-944. doi: 10.1037/rev0000192

Stefan, Angelika M., Evans, Nathan J. and Wagenmakers, Eric-Jan (2020). Practical challenges and methodological flexibility in prior elicitation. Psychological Methods. doi: 10.1037/met0000354

Evans, Nathan J., Dutilh, Gilles, Wagenmakers, Eric-Jan and van der Maas, Han L.J. (2020). Double responding: a new constraint for models of speeded decision making. Cognitive Psychology, 121 101292, 101292. doi: 10.1016/j.cogpsych.2020.101292

Innes, Reilly J., Evans, Nathan J., Howard, Zachary L., Eidels, Ami and Brown, Scott D. (2020). A broader application of the detection response task to cognitive tasks and online environments. Human Factors, 63 (5), 18720820936800-909. doi: 10.1177/0018720820936800

Evans, Nathan (2020). What factors are most important in finding the best model of a psychological process?. Meta-Psychology, 4. doi: 10.15626/mp.2019.2238

Boehm, Udo, van Maanen, Leendert, Evans, Nathan J., Brown, Scott D. and Wagenmakers, Eric-Jan (2020). A theoretical analysis of the reward rate optimality of collapsing decision criteria. Attention, Perception and Psychophysics, 82 (3), 1520-1534. doi: 10.3758/s13414-019-01806-4

Howard, Zachary L., Evans, Nathan J., Innes, Reilly J., Brown, Scott D. and Eidels, Ami (2020). How is multi-tasking different from increased difficulty?. Psychonomic Bulletin and Review, 27 (5), 937-951. doi: 10.3758/s13423-020-01741-8

Lin, Hause, Saunders, Blair, Friese, Malte, Evans, Nathan J. and Inzlicht, Michael (2020). Strong effort manipulations reduce response caution: a preregistered reinvention of the ego-depletion paradigm. Psychological Science, 31 (5), 531-547. doi: 10.1177/0956797620904990

Evans, Nathan J., Trueblood, Jennifer S. and Holmes, William R. (2020). A parameter recovery assessment of time-variant models of decision-making. Behavior Research Methods, 52 (1), 193-206. doi: 10.3758/s13428-019-01218-0

Evans, Nathan J., Hawkins, Guy E. and Brown, Scott D. (2020). The role of passing time in decision-making. Journal of Experimental Psychology-Learning Memory and Cognition, 46 (2), 316-326. doi: 10.1037/xlm0000725

Evans, Nathan J. and Wagenmakers, Eric-Jan (2020). Evidence accumulation models: current limitations and future directions. Quantitative Methods for Psychology, 16 (2), 73-90. doi: 10.20982/tqmp.16.2.p073

Evans, Nathan J. and Servant, Mathieu (2020). A comparison of conflict diffusion models in the flanker task through pseudolikelihood Bayes factors. Psychological Review, 127 (1), 114-135. doi: 10.1037/rev0000165

Servant, Mathieu and Evans, Nathan J. (2020). A diffusion model analysis of the effects of aging in the flanker task. Psychology and Aging, 35 (6), 831-849. doi: 10.1037/pag0000546

Tillman, Gabriel and Evans, Nathan J. (2019). Hierarchical Bayesian mixture models of processing architectures and stopping rules. Journal of Mathematical Psychology, 92. doi: 10.1016/j.jmp.2019.04.005

Evans, Nathan J. (2019). A method, framework, and tutorial for efficiently simulating models of decision-making. Behavior Research Methods, 51 (5), 2390-2404. doi: 10.3758/s13428-019-01219-z

Starns, Jeffrey J., Cataldo, Andrea M., Rotello, Caren M., Annis, Jeffrey, Aschenbrenner, Andrew, Bröder, Arndt, Cox, Gregory, Criss, Amy, Curl, Ryan A., Dobbins, Ian G., Dunn, John, Enam, Tasnuva, Evans, Nathan J., Farrell, Simon, Fraundorf, Scott H., Gronlund, Scott D., Heathcote, Andrew, Heck, Daniel W., Hicks, Jason L., Huff, Mark J., Kellen, David, Key, Kylie N., Kilic, Asli, Klauer, Karl Christoph, Kraemer, Kyle R., Leite, Fábio P., Lloyd, Marianne E., Malejka, Simone, Mason, Alice ... Wilson, Jack (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. doi: 10.1177/2515245919869583

Crüwell, Sophia, Stefan, Angelika M. and Evans, Nathan J. (2019). Robust standards in cognitive science. Computational Brain and Behavior, 2 (3-4), 255-265. doi: 10.1007/s42113-019-00049-8

Evans, Nathan J. (2019). Assessing the practical differences between model selection methods in inferences about choice response time tasks. Psychonomic Bulletin and Review, 26 (4), 1070-1098. doi: 10.3758/s13423-018-01563-9

Dutilh, Gilles, Annis, Jeffrey, Brown, Scott D., Cassey, Peter, Evans, Nathan J., Grasman, Raoul P. P. P., Hawkins, Guy E., Heathcote, Andrew, Holmes, William R., Krypotos, Angelos-Miltiadis, Kupitz, Colin N., Leite, Fabio P., Lerche, Veronika, Lin, Yi-Shin, Logan, Gordon D., Palmeri, Thomas J., Starns, Jeffrey J., Trueblood, Jennifer S., van Maanen, Leendert, van Ravenzwaaij, Don, Vandekerckhove, Joachim, Visser, Ingmar, Voss, Andreas, White, Corey N., Wiecki, Thomas V., Rieskamp, Joerg and Donkin, Chris (2019). The quality of response time data inference: a blinded, collaborative assessment of the validity of cognitive models. Psychonomic Bulletin and Review, 26 (4), 1051-1069. doi: 10.3758/s13423-017-1417-2

Evans, Nathan J., Holmes, William R. and Trueblood, Jennifer S. (2019). Response-time data provide critical constraints on dynamic models of multi-alternative, multi-attribute choice. Psychonomic Bulletin and Review, 26 (3), 901-933. doi: 10.3758/s13423-018-1557-z

Evans, Nathan J., Bennett, Aimee J. and Brown, Scott D. (2019). Optimal or not; depends on the task. Psychonomic Bulletin and Review, 26 (3), 1027-1034. doi: 10.3758/s13423-018-1536-4

Evans, Nathan J. and Wagenmakers, Eric-Jan (2019). Theoretically meaningful models can answer clinically relevant questions. Brain, 142, 1172-1175. doi: 10.1093/brain/awz073

Annis, Jeffrey, Evans, Nathan J., Miller, Brent J. and Palmeri, Thomas J. (2019). Thermodynamic integration and steppingstone sampling methods for estimating Bayes factors: a tutorial. Journal of Mathematical Psychology, 89, 67-86. doi: 10.1016/j.jmp.2019.01.005

Evans, Nathan J. and Annis, Jeffrey (2019). Thermodynamic integration via differential evolution: a method for estimating marginal likelihoods. Behavior Research Methods, 51 (2), 930-947. doi: 10.3758/s13428-018-1172-y

Evans, Nathan J. and Hawkins, Guy E. (2019). When humans behave like monkeys: feedback delays and extensive practice increase the efficiency of speeded decisions. Cognition, 184, 11-18. doi: 10.1016/j.cognition.2018.11.014

Knowles, Johanne P., Evans, Nathan J. and Burke, Darren (2019). Some evidence for an association between early life adversity and decision urgency. Frontiers in Psychology, 10. doi: 10.3389/fpsyg.2019.00243

Evans, Nathan J., Steyvers, Mark and Brown, Scott D. (2018). Modeling the covariance structure of complex datasets using cognitive models: an application to individual differences and the heritability of cognitive ability. Cognitive Science, 42 (6), 1925-1944. doi: 10.1111/cogs.12627

Evans, Nathan J., Brown, Scott D., Mewhort, Douglas J. K. and Heathcote, Andrew (2018). Refining the law of practice. Psychological Review, 125 (4), 592-605. doi: 10.1037/rev0000105

Evans, Nathan J. and Brown, Scott D. (2018). Bayes factors for the linear ballistic accumulator model of decision-making. Behavior Research Methods, 50 (2), 589-603. doi: 10.3758/s13428-017-0887-5

Evans, Nathan J., Hawkins, Guy E., Boehm, Udo, Wagenmakers, Eric-Jan and Brown, Scott D. (2017). The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models. Scientific Reports, 7. doi: 10.1038/s41598-017-16694-7

Evans, Nathan J., Rae, Babette, Bushmakin, Maxim, Rubin, Mark and Brown, Scott D. (2017). Need for closure is associated with urgency in perceptual decision-making. Memory and Cognition, 45 (7), 1193-1205. doi: 10.3758/s13421-017-0718-z

Evans, Nathan J. and Brown, Scott D. (2017). People adopt optimal policies in simple decision-making, after practice and guidance. Psychonomic Bulletin and Review, 24 (2), 597-606. doi: 10.3758/s13423-016-1135-1

Evans, Nathan J., Howard, Zachary L., Heathcote, Andrew and Brown, Scott D. (2017). Model flexibility analysis does not measure the persuasiveness of a fit. Psychological Review, 124 (3), 339-345. doi: 10.1037/rev0000057

Dr Nathan Evans

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