Nathan J. Evans
Nathan J. Evans
University of Queensland
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Cited by
Cited by
The JASP guidelines for conducting and reporting a Bayesian analysis
J van Doorn, D van den Bergh, U Böhm, F Dablander, K Derks, T Draws, ...
Psychonomic Bulletin & Review 28, 813-826, 2021
The quality of response time data inference: A blinded, collaborative assessment of the validity of cognitive models
G Dutilh, J Annis, SD Brown, P Cassey, NJ Evans, RPPP Grasman, ...
Psychonomic bulletin & review 26, 1051-1069, 2019
Strong effort manipulations reduce response caution: A preregistered reinvention of the ego-depletion paradigm
H Lin, B Saunders, M Friese, NJ Evans, M Inzlicht
Psychological science 31 (5), 531-547, 2020
People adopt optimal policies in simple decision-making, after practice and guidance
NJ Evans, SD Brown
Psychonomic Bulletin & Review 24, 597-606, 2017
Evidence accumulation models: Current limitations and future directions
NJ Evans, EJ Wagenmakers
PsyArXiv, 2019
Refining the law of practice.
NJ Evans, SD Brown, DJK Mewhort, A Heathcote
Psychological review 125 (4), 592, 2018
The computations that support simple decision-making: A comparison between the diffusion and urgency-gating models
NJ Evans, GE Hawkins, U Boehm, EJ Wagenmakers, SD Brown
Scientific reports 7 (1), 1-13, 2017
Need for closure is associated with urgency in perceptual decision-making
NJ Evans, B Rae, M Bushmakin, M Rubin, SD Brown
Memory & cognition 45, 1193-1205, 2017
Assessing the practical differences between model selection methods in inferences about choice response time tasks
NJ Evans
Psychonomic bulletin & review 26, 1070-1098, 2019
Response-time data provide critical constraints on dynamic models of multi-alternative, multi-attribute choice
NJ Evans, WR Holmes, JS Trueblood
Psychonomic Bulletin & Review 26, 901-933, 2019
The role of passing time in decision-making.
NJ Evans, GE Hawkins, SD Brown
Journal of experimental psychology: learning, memory, and cognition 46 (2), 316, 2020
Bayes factors for the linear ballistic accumulator model of decision-making
NJ Evans, SD Brown
Behavior research methods 50, 589-603, 2018
A hierarchical Bayesian model of" memory for when" based on experience sampling data.
S Dennis, H Yim, V Sreekumar, N Evans, P Garrett, P Sederberg
CogSci, 2017
Urgency, leakage, and the relative nature of information processing in decision-making.
JS Trueblood, A Heathcote, NJ Evans, WR Holmes
Psychological Review 128 (1), 160, 2021
How is multi-tasking different from increased difficulty?
ZL Howard, NJ Evans, RJ Innes, SD Brown, A Eidels
Psychonomic Bulletin & Review 27, 937-951, 2020
Optimal or not; depends on the task
NJ Evans, AJ Bennett, SD Brown
Psychonomic bulletin & review 26 (3), 1027-1034, 2019
Modeling the covariance structure of complex datasets using cognitive models: An application to individual differences and the heritability of cognitive ability
NJ Evans, M Steyvers, SD Brown
Cognitive science 42 (6), 1925-1944, 2018
When humans behave like monkeys: Feedback delays and extensive practice increase the efficiency of speeded decisions
NJ Evans, GE Hawkins
Cognition 184, 11-18, 2019
A parameter recovery assessment of time-variant models of decision-making
NJ Evans, JS Trueblood, WR Holmes
Behavior research methods 52, 193-206, 2020
Practical challenges and methodological flexibility in prior elicitation.
AM Stefan, NJ Evans, EJ Wagenmakers
Psychological Methods 27 (2), 177, 2022
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