in press

Response time modeling

Donkin, C., & Brown, S. D.
The Steven's Handbook of Experimental Psychology and Cognitive Neuroscience

Perceptions of randomness in binary sequences: Normative, heuristics, or both?

Reimers, S., Donkin, C., & Le Pelley, M. E.
Cognition

Meta-studies for robust tests of theory

Baribault, B., Donkin, C., Little, D., Trueblood, J., Oravecz, Z., van Ravenzwaaij, D., White, C. N., De Boeck, P., & Vandekerckhove, J.
Proceedings of the National Academy of Sciences

Can a single model account for both risky choices and inter-temporal choices? Testing the assumptions of models of risky inter-temporal choice

Luckman, A., Newell, B. R., & Donkin, C.
Psychonomic Bulletin & Review

People wait longer when the alternative is risky: The relation between preferences in risky and inter-temporal choice

Luckman, A., Donkin, C., & Newell, B. R.
Journal of Behavioral Decision Making

2017

The EZ diffusion model provides a powerful test of simple empirical effects

Van Ravenzwaaij, D., Donkin, C., & Vandekerckhove, J.
Psychonomic Bulletin & Review, 24, 547-556

No apparent influence of psychometrically-defined schizotypy on orientation-dependent contextual modulation of visual contrast detection

Mannion, D. J., Donkin, C., & Whitford, T. J.
PeerJ, 5, e2921

Does working memory have a single capacity?

Taylor, R., Thomson, H., Sutton, D., & Donkin, C.
Journal of Memory and Language, 93, 67-81

2016

Qualitative contrast between knowledge-limited mixed-state and variable-resources models of visual change detection

Nosofsky, R. M. & Donkin, C.
Journal of Experimental Psychology: Learning, Memory & Cognition, 42, 1507-1525

Analytic and heuristic processes in the detection and resolution of conflict

Ferreira, M. B., Mata, A., Donkin, C., Sherman, S. J., Ihmels, M.
Memory & Cognition, 44, 1050-1063

Using Bayes factors to test the predictions of models: A case study in visual working memory

Kary, A., Taylor, R., & Donkin, C.
Journal of Mathematical Psychology, 72, 210-219

Measuring intuition in decision making

Lufityanto, G., Donkin, C., & Pearson, J.
Psychological Science, 27, 622-634

Using alien coins to test whether simple inference is Bayesian 

Cassey, P., Hawkins, G., Donkin, C., & Brown, S. D.
Journal of Experimental Psychology: Learning, Memory & Cognition, 42, 497-503

Resources masquerading as slots: Flexible allocation of visual working memory 

Donkin, C., Kary, A., Tahir, F., & Taylor, R.
Cognitive Psychology, 85, 30-42

Response time evidence for mixed memory states in a sequential-presentation change-detection task 

Nosofsky, R. M. & Donkin, C.
Cognitive Psychology, 84, 31-62

2015

A Bayesian latent-mixture model analysis shows that informative samples reduce base-rate neglect

Hawkins, G., Hayes, B., Donkin, C., Pasqualino, M. & Newell, B. R.
Decision, 2, 306-318

Identifying strategy use in category learning tasks: A case for more diagnostic data and models

Donkin, C., Newell, B. R., Kalish, M., Dunn, J. C., & Nosofsky, R. M.
Journal of Experimental Psychology: Learning, Memory & Cognition, 41, 933-948

Working memory capacity and redundant information processing efficiency.

Endres, M. J., Houpt, J. W., Donkin, C., & Finn, P.
Frontiers in Psychology, 6, 594

Cognitive control and counterproductive oculomotor capture by reward-related stimuli

Pearson, D., Donkin, C., Tran, S., Most, S., & Le Pelley, M.
Visual Cognition, 23, 41-66

Location-based errors in change detection: A challenge for the slots model of visual working memory

Donkin, C., Tran, S. C., & Le Pelley, M.
Memory & Cognition, 43, 421-431

Verbal labeling, gradual decay, and sudden death in visual short-term memory

Donkin, C., Nosofsky, R. M., Gold, J., & Shiffrin, R. M.
Psychonomic Bulletin & Review, 22, 170-178

The effect of blocking inter-trial interval on sequential effects in absolute identification

Donkin, C., Chan, V., & Tran, S. C.
Quarterly Journal of Experimental Psychology, 68, 129-143

Why is accurately labeling simple magnitudes so hard? A past, present and future look at simple perceptual judgment

Donkin, C., Rae, B., Heathcote, A., & Brown, S. D.
Oxford Handbook of Computational and Mathematical Psychology

Unitization of features following training in a visual search task.  

Cousineau, D., Donkin, C., & Dumesnil, E.
Cognitive modeling in perception and memory: A festschift for Richard M. Shiffrin.

2014

Effects of aging and distractors on detection of redundant visual targets and capacity: Do older adults integrate visual targets differently than younger adults?

Ben-David, B. M., Eidels, A., & Donkin, C.
PLoS One, 9 (12), e113551

Pieron's Law is not just an artifact of the response mechanism

Donkin, C., & Van Maanen, L.
Journal of Mathematical Psychology, 62, 22-32

Unconscious information changes decision accuracy but not confidence

Vlassova, A., Donkin, C., & Pearson, J.
Proceedings of the National Academy of Sciences, 111, 16214-16218

Landscaping analyses of the ROC predictions of discrete-slots and signal-detection models of visual working memory

Donkin, C., Tran, S. C., & Nosofsky, R. M.
Attention, Perception & Psychophysics, 76, 2103-2116.

Assessing the speed-accuracy trade-off effect on the capacity of information processing

Donkin, C., Little, D. R., & Houpt, J. W.
Journal of Experimental Psychology: Human Perception and Performance, 40, 1183-1202.

The hare and the tortoise: Emphasizing speed can change the evidence used to make decisions

Rae, B., Heathcote, A., Donkin, C., Averell, L., & Brown, S. D.
Journal of Experimental Psychology: Learning, Memory & Cognition, 40, 1226-1243.

A new perspective on visual word processing efficiency

Houpt, J. W., Townsend, J. T., & Donkin, C.
Acta Psychologica, 145, 118-127.

An information procesing/associate learning account of behavioral disinhibition in externalizing psychopathology 

Endres, M., Donkin, C., & Finn, P.
Experimental and Clinical Psychopharmacology, 22, 122-132.

2013

Discrete-slots models of visual working-memory response times

Donkin, C., Nosofsky, R. M., Gold, J., & Shiffrin, R.
Psychological Review, 120, 873-902.

A quantum of truth? Querying the alternative benchmark for human cognition

Newell, B.R., Van Ravenzwaij, D., & Donkin, C. (2013)
Behavioral & Brain Sciences, 36, 300-302.

Logical rules and the classification of integral-dimension stimuli  

Little, D. R., Nosofsky, R. M., Donkin, C., & Denton, S. E. (2013)
Journal of Experimental Psychology: Learning, Memory & Cognition, 39, 801-820.

2012

A power-law model of psychological memory strength in short- and long-term recognition

Donkin, C., & Nosofsky, R. M. (2012)
Psychological Science, 23, 625-634.

The structure of short-term memory scanning: An investigation using response time distribution models

Donkin, C., & Nosofsky, R. M. (2012)
Psychonomic Bulletin & Review, 19, 363-394.

Model-based analysis of context-specific cognitive control 

King, J., Donkin, C., Korb, F., & Egner, T. (2012)
Frontiers in Psychology, 3, 358.

2011

Short-Term memory scanning viewed as exemplar-based categorization

Nosofsky, R. M., Little, D. R., Donkin, C. & Fific, M. (2011)
Psychological Review, 118, 280-315.

Increasing capacity: Practice effects in absolute identification

Dodds, P., Donkin, C., Brown, S. D., & Heathcote, A. (2011)
Journal of Experimental Psychology: Learning, Memory & Cognition, 37, 477-492.

Diffusion versus linear ballistic accumulation: Different models but the same conclusions about psychological processes?

Donkin, C., Brown, S. D., Heathcote, A., & Wagenmakers, E. J. (2011)
Psychonomic Bulletin & Review, 18, 61-69.

Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator

Donkin, C., Brown, S. D., & Heathcote, A. (2011)
Journal of Mathematical Psychology, 55, 140-151.

Stimulus-specific learning: Disrupting the bow effect in absolute identification 

Dodds, P., Donkin, C., Brown, S. D., Heathcote, A. & Marley, A. A. J. (2011)
Attention, Perception & Psychophysics, 73, 1977-1986.

2010

Converging measures of workload capacity 

Eidels, A., Donkin, C., Brown, S. D., & Heathcote, A. (2010)
Psychonomic Bulletin & Review, 17, 763-771.

2009

The overconstraint of response time models: Rethinking the scaling problem

Donkin, C., Brown, S. D., & Heathcote, A. (2009)
Psychonomic Bulletin & Review, 16, 1129-1135.

Dissociating speed and accuracy in absolute identification: The effect of unequal stimulus spacing

Donkin, C., Brown, S. D., Heathcote, A., & Marley, A. A. J. (2009)
Psychological Research, 73, 308-316.

Getting more from accuracy and response time data: Methods for fitting the linear ballistic accumulator model

Donkin, C., Averell, L., Brown, S. D., & Heathcote, A. (2009)
Behavior Research Methods, 41, 1095-1110.

ChoiceKey: A real-time speech recognition program for psychology experiments with a small response set 

Donkin, C., Brown, S. D., & Heathcote, A. (2009)
Behavior Research Methods, 41, 154-162.

2008

An integrated model of choices and response times in absolute identification. 

Brown, S. D., Marley, A. A. J., Donkin, C., & Heathcote, A. (2008)
Psychological Review, 115, 396-425.

proceedings

On the behavior of iterated learning chains when priors are heterogeneous

Navarro, D. J., Perfors, A., Kary, A., Brown, S. D., & Donkin, C. (2017)
Cognitive Science Society Proceedings.

The impact of decisions and incentives on the simultaneous underweighting and overestimation of rare events

Liang, G., Konstantinidis, E., Szollosi, A., Donkin, C., & Newell, B. R. (2017)
Cognitive Science Society Proceedings.

The exemplar confusion model: An account of biased probability estimates in decisions from description

Lin, D., Donkin, C., & Newell, B. R. (2015)
Cognitive Science Society Proceedings.

Exploring the concept of utility: Are separate value functions required for risky and inter-temporal choice?

Luckman, A., Donkin, C., & Newell, B. R. (2015)
Cognitive Science Society Proceedings.

Quantifying the time course of similarity

Hendrickson, A. T., Navarro, D. J., & Donkin, C. (2015)
Cognitive Science Society Proceedings.

Visual search as a combination of automatic and attentive processes

Donkin, C., & Shiffrin, R. (2011)
Cognitive Science Society Proceedings.

Does micro-variability make models more complex? A comparison between diffusive and linear evidence accumuluation

Donkin, C., Shiffrin, R., Brown, S., & Heathcote, A. (2010)
Cognitive Science Society Proceedings.

Multidimensional scaling methods for absolute identification data

Dodds, P., Donkin, C., Brown, S., & Heathcote, A. (2010)
Cognitive Science Society Proceedings.

Non-decision time effects in the lexical decision task

Donkin, C., Heathcote, A., Brown, S., & Andrews, S. (2009)
Cognitive Science Society Proceedings.

Revising the limits of learning in absolute identification

Dodds, P., Donkin, C., Brown, S., & Heathcote, A. (2009)
Cognitive Science Society Proceedings.

Is the linear ballistic accumulator model really the simplest model of choice response times: A Bayesian model complexity analysis

Donkin, C., Heathcote, A., & Brown, S. (2009)
International Conference on Cognitive Modeling.