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Two-stage dynamic signal detection: A theory of choice, decision time, and confidence.
Abstract
The 3 most often-used performance measures in the cognitive and decision sciences are choice, response or decision time, and confidence. We develop a random walk/diffusion theory-2-stage dynamic signal detection (2DSD) theory-that accounts for all 3 measures using a common underlying process. The model uses a drift diffusion process to account for choice and decision time. To estimate confidence, we assume that evidence continues to accumulate after the choice. Judges then interrupt the process to categorize the accumulated evidence into a confidence rating. The model explains all known interrelationships between the 3 indices of performance. Furthermore, the model also accounts for the distributions of each variable in both a perceptual and general knowledge task. The dynamic nature of the model also reveals the moderating effects of time pressure on the accuracy of choice and confidence. Finally, the model specifies the optimal solution for giving the fastest choice and confidence rating for a given level of choice and confidence accuracy. Judges are found to act in a manner consistent with the optimal solution when making confidence judgments.
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“Pleskac & Busemeyer (2010) additionally proposed that this evidence accumulation process may continue after a decision has been made, informing estimates of decision confidence and potentially leading to changes of mind (Resulaj et al. 2009, van den Berg et al. 2016a).”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Pleskac & Busemeyer 2010
In the citing paper
“In turn, constraints on postdecisional evidence accumulation may affect the extent to which confidence estimates faithfully track performance (Desender et al. 2022, Pleskac & Busemeyer 2010).”
From Metacognition and Confidence: A Review and Synthesis (2024) · cites this paper as Pleskac & Busemeyer 2010
In the citing paper
“This assumption is supported by the finding that longer latencies of CJ are related to lower confidence ratings (Kälin & Roebers, 2020;Pleskac & Busemeyer, 2010).”
From Longitudinal associations between executive functions and metacognitive monitoring in 5- to 8-year-olds (2022) · cites this paper as Pleskac & Busemeyer, 2010
In the citing paper
“In contrast, the field of perceptual decision-making has highlighted the fact that confidence can be measured independently of the choice process itself9,10, where it is conceptualized as reflecting a “second-order” metacognitive evaluation.”
From Confidence in value-based choice (2013) · cites this paper as [10]
In the citing paper
“Pleskac and collaborators have shown that a single process can explain confidence in choices made in perceptual (line discrimination and random dot motion) and cognitive (city size inference) tasks (Pleskac & Busemeyer, 2010;Yu, Pleskac, & Zeigenfuse, 2015).”
From Individual consistency in the accuracy and distribution of confidence judgments (2016) · cites this paper as Pleskac & Busemeyer, 2010
In the citing paper
“Moreover, they show that a model based on a single process to compute confidence in different domains can explain what factors control the degree of correlation between tasks.”
From Individual consistency in the accuracy and distribution of confidence judgments (2016) · cites this paper as Pleskac & Busemeyer, 2010
Citations
Cites
An introduction to probability theory and its applications
(1958) · Journal of the Franklin Institute · doi:10.1016/0016-0032(58)90688-4 · Cited by 29,621
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
(1966) · Medical Entomology and Zoology · Cited by 10,293
Anderson, N. H. (2001) · Psychology Press eBooks · doi:10.4324/9781410600004-24 · Cited by 6,939
Detection Theory: A User's Guide
Macmillan, N. A., & Creelman, C. D. (1991) · Cited by 5,415
A law of comparative judgment.
Thurstone, L. (1994) · Psychological Review · doi:10.1037/h0070288 · Cited by 5,077
Ratcliff, R. (1978) · Psychological Review · doi:10.1037/0033-295x.85.2.59 · Cited by 4,513
Journal of Experimental Psychology: Human Learning and Memory
Bourne, L. E. (1977) · Cited by 4,328
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
The Handbook of Research Synthesis.
Howel, D., Cooper, H., & Hedges, L. V. (1995) · Biometrics · doi:10.2307/2533295 · Cited by 3,657
Heuristics and Biases: The Psychology of Intuitive Judgment
Bottom, W. P., Gilovich, T. D., Griffin, D., & Kahneman, D. J. (2004) · Academy of Management Review · doi:10.2307/20159081 · Cited by 3,583
The Theory of Stochastic Processes
Cox, D. R., Miller, H. D., Weiss, G., & Shuler, K. (1966) · Physics Today · doi:10.1063/1.3047872 · Cited by 3,324
Decision analysis and behavioral research
von Winterfeldt, D., & Edwards, W. (1986) · Medical Entomology and Zoology · Cited by 3,042
Metamemory: A Theoretical Framework and New Findings
Nelson, T. O. (1990) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60053-5 · Cited by 2,583
Measures of Association for Cross Classifications
Goodman, L. A., & Kruskal, W. (1979) · Springer series in statistics · doi:10.1007/978-1-4612-9995-0 · Cited by 2,255
The Adaptive Character of Thought
Massaro, D. W., Friedman, D., & Anderson, J. R. (1991) · The American Journal of Psychology · doi:10.2307/1423253 · Cited by 2,174
The time course of perceptual choice: The leaky, competing accumulator model.
Usher, M., & McClelland, J. L. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.550 · Cited by 2,152
(1986) · Cited by 2,022
Calibration of probabilities: the state of the art to 1980
Lichtenstein, S., Fischhoff, B., & Phillips, L. D. (1982) · Judgment under Uncertainty · doi:10.1017/cbo9780511809477.023 · Cited by 1,967
Armstrong, J. S. (2001) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-0-306-47630-3 · Cited by 1,962
Bogacz, R., Brown, E., Moehlis, J., Holmes, P. J., & Cohen, J. D. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.700 · Cited by 1,945
Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.
Busemeyer, J. R., & Townsend, J. T. (1993) · Psychological Review · doi:10.1037/0033-295x.100.3.432 · Cited by 1,925
Self-citationThe weighing of evidence and the determinants of confidence
Griffin, D., & Tversky, A. (1992) · Cognitive Psychology · doi:10.1016/0010-0285(92)90013-r · Cited by 1,866
Neural Basis of a Perceptual Decision in the Parietal Cortex (Area LIP) of the Rhesus Monkey
Shadlen, M. N., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.1916 · Cited by 1,755
Human Factors in Engineering and Design
Sanders, M. S., & McCormick, E. J. (1957) · Medical Entomology and Zoology · Cited by 1,572
Stochastic Modeling of Elementary Psychological Processes
Snodgrass, J. G., Townsend, J. T., & Ashby, F. G. (1985) · The American Journal of Psychology · doi:10.2307/1422636 · Cited by 1,513
Probabilistic mental models: a Brunswikian theory of confidence
Gigerenzer, G., Hoffrage, U., & Kleinbölting, H. (1991) · Psychological Review · doi:10.1037/0033-295x.98.4.506 · Cited by 1,506
Modeling Response Times for Two-Choice Decisions
Ratcliff, R., & Rouder, J. N. (1998) · Psychological Science · doi:10.1111/1467-9280.00067 · Cited by 1,478
Koriat, A., Lichtenstein, S., & Fischhoff, B. (1980) · Journal of Experimental Psychology: Human Learning and Memory · doi:10.1037/0278-7393.6.2.107 · Cited by 1,477
Monitoring one’s own knowledge during study: A cue-utilization approach to judgments of learning
Koriat, A. (1997) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.126.4.349 · Cited by 1,363
Models of ecological rationality: The recognition heuristic.
Goldstein, D. G., & Gigerenzer, G. (2002) · Psychological Review · doi:10.1037/0033-295x.109.1.75 · Cited by 1,352
Speed-accuracy tradeoff and information processing dynamics
Wickelgren, W. A. (1977) · Acta Psychologica · doi:10.1016/0001-6918(77)90012-9 · Cited by 1,304 · cited 1×
“…A.3 The utility of DSD models rests with the fact that they model not only choice and decision time but also the often-observed relationship between these two variables known as the speed–accuracy trade-off (D. M. Johnson, 1939; Pachella, 1974; Schouten & Bekker, 1967; Wickelgren, 1977).”
BackgroundA Comparison of Sequential Sampling Models for Two-Choice Reaction Time.
Ratcliff, R., & Smith, P. L. (2004) · Psychological Review · doi:10.1037/0033-295x.111.2.333 · Cited by 1,288
Probabilistic decision making by slow reverberation in cortical circuits
Wang, X.-J. (2002) · Neuron · doi:10.1016/s0896-6273(02)01092-9 · Cited by 1,242
The simplest complete model of choice response time: Linear ballistic accumulation
Brown, S. D., & Heathcote, A. (2008) · Cognitive Psychology · doi:10.1016/j.cogpsych.2007.12.002 · Cited by 1,198
Support theory: a nonextensional representation of subjective probability
Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167
Optimum Character of the Sequential Probability Ratio Test
Wald, A., & Wolfowitz, J. (1948) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730197 · Cited by 1,162
Receiver-operating characteristics in recognition memory: Evidence for a dual-process model.
Yonelinas, A. P. (1994) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.20.6.1341 · Cited by 1,152
Neural Control of Voluntary Movement Initiation
Hanes, D. P., & Schall, J. D. (1996) · Science · doi:10.1126/science.274.5286.427 · Cited by 1,145
Recognition memory and the medial temporal lobe: a new perspective
Squire, L. R., Wixted, J. T., & Clark, R. E. (2007) · Nature reviews. Neuroscience · doi:10.1038/nrn2154 · Cited by 1,059
Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex
Kiani, R., & Shadlen, M. N. (2009) · Science · doi:10.1126/science.1169405 · Cited by 1,027
A comparison of current measures of the accuracy of feeling-of-knowing predictions
Nelson, T. O. (1984) · Psychological Bulletin · doi:10.1037/0033-2909.95.1.109 · Cited by 976
Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque
Kim, J.-N., & Shadlen, M. N. (1999) · Nature Neuroscience · doi:10.1038/5739 · Cited by 950
Information theory of choice-reaction times
Laming, D. (1968) · Medical Entomology and Zoology · Cited by 945
Neural computations that underlie decisions about sensory stimuli
Gold, J. I., & Shadlen, M. N. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01567-9 · Cited by 881
Consciousness and metacognition.
Nelson, T. O. (1996) · American Psychologist · doi:10.1037/0003-066x.51.2.102 · Cited by 860
Ratcliff, R., & Tuerlinckx, F. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196302 · Cited by 838
Multialternative decision field theory: A dynamic connectionst model of decision making.
Roe, R. M., Busemeyer, J. R., & Townsend, J. T. (2001) · Psychological Review · doi:10.1037/0033-295x.108.2.370 · Cited by 789
Self-citationThe neural basis of the speed–accuracy tradeoff
Bogacz, R., Wagenmakers, E., Forstmann, B. U., & Nieuwenhuis, S. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.09.002 · Cited by 754
The Interpretation of Reaction Time in Information-Processing Research 1
Pachella, R. G. (2021) · Routledge eBooks · doi:10.4324/9781003176688-2 · Cited by 745
Models for choice-reaction time
Stone, M. (1960) · Psychometrika · doi:10.1007/bf02289729 · Cited by 696
Changes of mind in decision-making
Resulaj, A., Kiani, R., Wolpert, D. M., & Shadlen, M. N. (2009) · Nature · doi:10.1038/nature08275 · Cited by 678
Simultaneous over- and underconfidence: the role of error in judgment processes
Erev, I., Wallsten, T. S., & Budescu, D. V. (1994) · Psychological Review · doi:10.1037/0033-295x.101.3.519 · Cited by 644
Time Pressure and Stress in Human Judgment and Decision Making
Svenson, O., & Maule, A. J. (1993) · Springer eBooks · doi:10.1007/978-1-4757-6846-6 · Cited by 601
Connectionist and diffusion models of reaction time.
Ratcliff, R., Zandt, T. V., & McKoon, G. (1999) · Psychological Review · doi:10.1037/0033-295x.106.2.261 · Cited by 588
An EZ-diffusion model for response time and accuracy
Wagenmakers, E., van der Maas, H. L. J., & Grasman, R. P. P. P. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194023 · Cited by 586
Kantowitz, B. H. (2021) · Routledge eBooks · doi:10.4324/9781003176688 · Cited by 562
Gold, J. I., & Shadlen, M. N. (2002) · Neuron · doi:10.1016/s0896-6273(02)00971-6 · Cited by 561
Decision Processes in Visual Perception
(1979) · Elsevier eBooks · doi:10.1016/c2013-0-11654-6 · Cited by 513
(2018) · Archives of Psychology · doi:10.31296/aop · Cited by 500
A Sequential Theory of Psychological Discrimination
Link, S. W., & Heath, R. A. (1975) · Psychometrika · doi:10.1007/bf02291481 · Cited by 492
Gómez, P., Ratcliff, R., & Perea, M. (2007) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.136.3.389 · Cited by 460
Unpacking, repacking, and anchoring: Advances in support theory.
Rottenstreich, Y., & Tversky, A. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.406 · Cited by 446
Testing global memory models using ROC curves.
Ratcliff, R., Sheu, C.-F., & Gronlund, S. D. (1992) · Psychology Review · doi:10.1037/0033-295x.99.3.518 · Cited by 445
Loss Aversion and Inhibition in Dynamical Models of Multialternative Choice.
Usher, M., & McClelland, J. L. (2004) · Psychological Review · doi:10.1037/0033-295x.111.3.757 · Cited by 403
Elements of Applied Stochastic Processes
Cohen, J. W., & Bhat, U. N. (1975) · International Statistical Review · doi:10.2307/1402665 · Cited by 395
Neuronal correlates of decision-making in secondary somatosensory cortex
Romo, R., Hernández, A., Zainos, A., Lemus, L., & Brody, C. D. (2002) · Nature Neuroscience · doi:10.1038/nn950 · Cited by 387
Reliability of Subjective Probability Forecasts of Precipitation and Temperature
Murphy, A. H., & Winkler, R. L. (1977) · Applied Statistics · doi:10.2307/2346866 · Cited by 386
Juslin, P., Winman, A., & Olsson, H. (2000) · Psychological Review · doi:10.1037/0033-295x.107.2.384 · Cited by 379
The Wave Theory of Difference and Similarity
Link, S. W. (2020) · Routledge eBooks · doi:10.1201/9780429054709 · Cited by 351
Ratcliff, R. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196283 · Cited by 351
Edwards, W. (1965) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(65)90007-6 · Cited by 335
How to fit a response time distribution
Zandt, T. V. (2000) · Psychonomic Bulletin & Review · doi:10.3758/bf03214357 · Cited by 335
Juslin, P. (1994) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1994.1013 · Cited by 325
Recognition memory and the operating characteristic.
Egan, J. P. (1958) · Cited by 312
The calibration and resolution of confidence in perceptual judgments
Baranski, J. V., & Petrusic, W. M. (1994) · Perception & Psychophysics · doi:10.3758/bf03205299 · Cited by 308
Schouten, J. F., & Bekker, J. (1967) · Acta Psychologica · doi:10.1016/0001-6918(67)90054-6 · Cited by 304
Accounts of the confidence-accuracy relation in recognition memory
Busey, T. A., Tunnicliff, J., Loftus, G. R., & Loftus, E. F. (2000) · Psychonomic Bulletin & Review · doi:10.3758/bf03210724 · Cited by 277
Evidence accumulation in decision making: Unifying the “take the best” and the “rational” models
Lee, M. D., & Cummins, T. D. R. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196581 · Cited by 277
Stochastic Dynamic Models of Response Time and Accuracy: A Foundational Primer
Smith, P. L. (2000) · Journal of Mathematical Psychology · doi:10.1006/jmps.1999.1260 · Cited by 271
An Exemplar-Based Random Walk Model of Speeded Classification
Nosofsky, R., & Palmeri, T. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.266 · Cited by 271
Modeling confidence and response time in recognition memory.
Ratcliff, R., & Starns, J. J. (2009) · Psychological Review · doi:10.1037/a0014086 · Cited by 261
Comparing the calibration and coherence of numerical and verbal probability judgments
Wallsten, T., Budescu, D., & Zwick, R. (1993) · Management Science · doi:10.1287/mnsc.39.2.176 · Cited by 252
ROC curves and confidence judgments in recognition memory.
Zandt, T. V. (2000) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.26.3.582 · Cited by 246
Dynamic Stochastic Models for Decision Making under Time Constraints
Diederich, A. (1997) · Journal of Mathematical Psychology · doi:10.1006/jmps.1997.1167 · Cited by 244
Quantile maximum likelihood estimation of response time distributions
Heathcote, A., Brown, S. D., & Mewhort, D. J. K. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196299 · Cited by 241
A diffusion model account of masking in two-choice letter identification.
Ratcliff, R., & Rouder, J. N. (2000) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.26.1.127 · Cited by 238
Psychophysically principled models of visual simple reaction time.
Smith, P. L. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.567 · Cited by 227
Processing Linguistic Probabilities: General Principles and Empirical Evidence
Budescu, D. V., & Wallsten, T. S. (1995) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/s0079-7421(08)60313-8 · Cited by 208
A model of calibration for subjective probabilities
Ferrell, W. R., & McGoey, P. J. (1980) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(80)90045-8 · Cited by 195
The relation of the time of a judgment to its accuracy
Henmon, V. A. C. (1911) · Psychological Review · doi:10.1037/h0074579 · Cited by 190
Realism of confidence in sensory discrimination: The underconfidence phenomenon
Björkman, M., Juslin, P., & Winman, A. (1993) · Perception & Psychophysics · doi:10.3758/bf03206939 · Cited by 188
Sequential Tests in Industrial Statistics
Barnard, G. A. (1946) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.2307/2983610 · Cited by 179
Juslin, P., & Olsson, H. (1997) · Psychological Review · doi:10.1037/0033-295x.104.2.344 · Cited by 177
A fast numerical algorithm for the estimation of diffusion model parameters
Voß, A., & Voß, J. (2007) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2007.09.005 · Cited by 172
The elusive tradeoff: Speed vs accuracy in visual discrimination tasks
Swensson, R. G. (1972) · Perception & Psychophysics · doi:10.3758/bf03212837 · Cited by 171
Overconfidence in Judgmental Forecasting
Arkes, H. R. (2001) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-0-306-47630-3_22 · Cited by 170
Probing the locus of confidence judgments: Experiments on the time to determine confidence.
Baranski, J. V., & Petrusic, W. M. (1998) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.24.3.929 · Cited by 163
A Dynamic, Stochastic, Computational Model of Preference Reversal Phenomena.
Johnson, J. G., & Busemeyer, J. R. (2005) · Psychological Review · doi:10.1037/0033-295x.112.4.841 · Cited by 162
Self-citationFundamental derivations from decision field theory
Busemeyer, J. R., & Townsend, J. T. (1992) · Mathematical Social Sciences · doi:10.1016/0165-4896(92)90043-5 · Cited by 161
Self-citationWarner, J. (1968) · Journal of applied meteorology · doi:10.1175/1520-0450(1968)007 · Cited by 161
Keren, G. B. (1988) · Acta Psychologica · doi:10.1016/0001-6918(88)90007-8 · Cited by 160
A comparison of two response time models applied to perceptual matching
Zandt, T. V., Colonius, H., & Proctor, R. W. (2000) · Psychonomic Bulletin & Review · doi:10.3758/bf03212980 · Cited by 156
Progress in mathematical psychology
Roskam, E. E., & Suck, R. (1987) · Elsevier eBooks · Cited by 152
The Scientist Speculates: An Anthology of Partly-baked Ideas
Page, T. (1964) · American Journal of Physics · doi:10.1119/1.1970298 · Cited by 148
Mellers, B. A., & Biagini, K. (1994) · Psychological Review · doi:10.1037/0033-295x.101.3.505 · Cited by 148
SOME ALTERNATIVE STOCHASTIC MODELS OF CHOICE1
Audley, R., & Pike, A. (1965) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/j.2044-8317.1965.tb00342.x · Cited by 147
Response latency models for signal detection.
Pike, R. (1973) · Psychological Review · doi:10.1037/h0033871 · Cited by 147
The calibration of expert judgment: heuristics and biases beyond the laboratory
Koehler, D. J., Brenner, L., & Griffin, D. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.041 · Cited by 146
The Hard–Easy Effect in Subjective Probability Calibration
Suantak, L., Bolger, F., & Ferrell, W. R. (1996) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1996.0074 · Cited by 145
The effects of averaging subjective probability estimates between and within judges.
Ariely, D., Au, W. T., Bender, R. H., Budescu, D. V., Dietz, C. B., Gu, H., Wallsten, T. S., & Zauberman, G. S. (2000) · Journal of Experimental Psychology Applied · doi:10.1037//1076-898x.6.2.130 · Cited by 144
Confidence and speed in the two-category judgment
Johnson, D. M. (1939) · University of Michigan Library Repository · Cited by 143
A stochastic model for individual choice behavior.
Audley, R. J. (1960) · Psychological Review · doi:10.1037/h0046438 · Cited by 143
Diederich, A., & Busemeyer, J. R. (2003) · Journal of Mathematical Psychology · doi:10.1016/s0022-2496(03)00003-8 · Cited by 142
Self-citationThe calibration of subjective probabilities: Theories and models 1980-1993
McClelland, A. (1994) · UCL Discovery (University College London) · Cited by 142
Vickers, D., & Packer, J. (1982) · Acta Psychologica · doi:10.1016/0001-6918(82)90006-3 · Cited by 139
Neurobiology of Decision Making
Shadlen, M. N., Kiani, R., Hanks, T. D., & Churchland, A. K. (2008) · The MIT Press eBooks · doi:10.7551/mitpress/7735.003.0007 · Cited by 134
A Stochastic Version of General Recognition Theory
Ashby, F. G. (2000) · Journal of Mathematical Psychology · doi:10.1006/jmps.1998.1249 · Cited by 130
Realism of confidence judgments.
Adams, J. K., & Adams, P. A. (1961) · Psychological Review · doi:10.1037/h0040274 · Cited by 128
Statement verification: A stochastic model of judgment and response.
Wallsten, T. S., & Gonzalez-Vallejo, C. C. (1994) · Psychological Review · doi:10.1037/0033-295x.101.3.490 · Cited by 127
Conditional distribution analyses of probabilistic forecasts
Yates, J., & Curley, S. P. (1985) · Journal of Forecasting · doi:10.1002/for.3980040110 · Cited by 113
Perspectives on Probability Judgment Calibration
Griffin, D., & Brenner, L. A. (2004) · Wiley eBooks · doi:10.1002/9780470752937.ch9 · Cited by 112
Moreno‐Bote, R. (2010) · Neural Computation · doi:10.1162/neco.2010.12-08-930 · Cited by 92
Festinger, L. (1943) · Journal of Experimental Psychology · doi:10.1037/h0056685 · Cited by 90
Judging confidence influences decision processing in comparative judgments
Petrusic, W. M., & Baranski, J. V. (2003) · Psychonomic Bulletin & Review · doi:10.3758/bf03196482 · Cited by 88
Elimination and Inclusion Procedures in Judgment
Yaniv, I., & Schul, Y. (1997) · Journal of Behavioral Decision Making · doi:10.1002/(sici)1099-0771(199709)10:3 · Cited by 83
Busemeyer, J. R., & Goldstein, W. M. (1992) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(92)90026-4 · Cited by 83
Self-citationMeasuring ordinal association in situations that contain tied scores.
Gonzalez, R., & Nelson, T. O. (1996) · Psychological Bulletin · doi:10.1037/0033-2909.119.1.159 · Cited by 79
(2008) · The MIT Press eBooks · doi:10.7551/mitpress/9780262195805.001.0001 · Cited by 78
Building bridges between neural models and complex decision making behaviour
Busemeyer, J. R., Jessup, R. K., Johnson, J. G., & Townsend, J. T. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.05.043 · Cited by 75
Self-citationAn application of the Poisson race model to confidence calibration.
Merkle, E. C., & Zandt, T. V. (2006) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.135.3.391 · Cited by 73
Dougherty, M. R. P. (2001) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.130.4.579 · Cited by 73
Tests of two theories of decision in an "expanded judgment" situation.
Irwin, F. W., Smith, W., & Mayfield, J. F. (1956) · Journal of Experimental Psychology · doi:10.1037/h0041911 · Cited by 73
Estes, W. K., & WESSEL, D. L. (1966) · Perception & Psychophysics · doi:10.3758/bf03207411 · Cited by 69
Measurement of subjective probability
von Holstein, C.-A. S. S. (1970) · Acta Psychologica · doi:10.1016/0001-6918(70)90013-2 · Cited by 69
Response Reversals in Recognition Memory.
Zandt, T. V., & Maldonado‐Molina, M. M. (2004) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.30.6.1147 · Cited by 62
Remarks on the measurement of subjective probability and information
Aczél, J., & Pfanzagl, J. (1967) · Metrika · doi:10.1007/bf02613579 · Cited by 53
On the Calibration of Knowledge and Perception.
Baranski, J. V., & Petrusic, W. M. (1995) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/1196-1961.49.3.397 · Cited by 53
A comment on Heathcote, Brown, and Mewhort’s QMLE method for response time distributions
Speckman, P. L., & Rouder, J. N. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196613 · Cited by 52
A note on the distribution of response times for a random walk with Gaussian increments
Smith, P. L. (1990) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(90)90023-3 · Cited by 51
Experimental paradigms emphasising state or process limitations: II effects on confidence
Vickers, D., Smith, P. L., Burt, J. S., & Brown, M. (1985) · Acta Psychologica · doi:10.1016/0001-6918(85)90018-6 · Cited by 50
Calibration of sensory and cognitive judgments: Two different accounts
Winman, A., & Juslin, P. (1993) · Scandinavian Journal of Psychology · doi:10.1111/j.1467-9450.1993.tb01109.x · Cited by 47
Can overconfidence be used as an indicator of reconstructive rather than retrieval processes?
Juslin, P., Winman, A., & Persson, T. (1995) · Cognition · doi:10.1016/0010-0277(94)00642-x · Cited by 42
An Analysis of Judgment Research Analyses
Wallsten, T. S. (1996) · Organizational Behavior and Human Decision Processes · doi:10.1006/obhd.1996.0022 · Cited by 41
Vickers, D., Burt, J. S., Smith, P. L., & Brown, M. (1985) · Acta Psychologica · doi:10.1016/0001-6918(85)90017-4 · Cited by 40
A Confidence Scale Defined in Terms of Expected Percentages
Adams, J. K. (1957) · The American Journal of Psychology · doi:10.2307/1419580 · Cited by 39
Option fixation: A cognitive contributor to overconfidence
Sieck, W. R., Merkle, E. C., & Zandt, T. V. (2007) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2006.11.001 · Cited by 38
Appendix F: Personal observations on the reliability of the shuttle
Feynman, R. P., Desbureaux, S., Rodella, A.-S., Russ, J. D., & Zaveri, E. (1986) · Cited by 34
Response strategies in a two-choice reaction task with a continuous cost for time.
Swensson, R. G., & Edwards, W. (1971) · Journal of Experimental Psychology · doi:10.1037/h0030646 · Cited by 32
Random-Walk and Accumulator Models of Psychophysical Discrimination: A Critical Evaluation
Heath, R. A. (1984) · Perception · doi:10.1068/p130057 · Cited by 31
Accumulator and Random-Walk Models of Psychophysical Discrimination: A Counter-Evaluation
Vickers, D., & Smith, P. L. (1985) · Perception · doi:10.1068/p140471 · Cited by 29
Some Relationships between Comparative Judgment, Confidence, and Decision-Time in Weight-Lifting
Pierrel, R., & Murray, C. S. (1963) · The American Journal of Psychology · doi:10.2307/1419996 · Cited by 22
Wallsten, T. S., Bender, R. H., & Li, Y. (1999) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037//0278-7393.25.1.96 · Cited by 18
Similarity and Choice: Papers in Honour of Clyde Coombs
Cordray, D. S., Lanterman, E. D., & Feger, H. (1982) · The American Journal of Psychology · doi:10.2307/1422141 · Cited by 18
The meta-level versus object-level distinction (and other issues) in formulations of metacognition.
Nelson, T. O. (1997) · American Psychologist · doi:10.1037/0003-066x.52.2.179 · Cited by 7
Random error in judgment: The contribution of encoding and retrieval processes
Pleskac, T. J., Dougherty, M. R. P., Rivadeneira, A. W., & Wallsten, T. S. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2008.08.003 · Cited by 5
Self-citationA Model for Confidence Judgments in Choice Tasks
Ascher, D. L. (1974) · MacSphere (McMaster University) · doi:10.71548/9950 · Cited by 4
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2 · cited 3×
“a variant of the Brier score (Brier, 1950), and as such it is a strictly”
BackgroundMethodInfluential
Flagged first, then by citations
2 of the 163 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Diffusion decision model: Current issues and history
Ratcliff, R., Smith, P. L., Brown, S. D., & McKoon, G. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.01.007 · Cited by 1,630
Empirical support for higher-order theories of conscious awareness
Lau, H., & Rosenthal, D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.009 · Cited by 869
Maniscalco, B., & Lau, H. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2011.09.021 · Cited by 883
The neural basis of metacognitive ability
Fleming, S. M., & Dolan, R. J. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0417 · Cited by 747
“Recent models have been couched in an ‘evidence accumulation’ framework, in which samples of data are accumulated over time in order to model the temporal evolution of a decision [18, 72, 73].”
MethodMetacognition in human decision-making: confidence and error monitoring
Yeung, N., & Summerfield, C. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2011.0416 · Cited by 667
Metadata
- Authors
- Pleskac, T. J., & Busemeyer, J. R.
- Affiliations
- Michigan State University (US)
- Venue
- Psychological Review
- Published
- 2010
- Volume
- 117
- Issue
- 3
- Pages
- 864-901
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2158389550
- Cited by
- 722
- References
- 163
- Citations by year
- 2026: 50 · 2025: 48 · 2024: 52 · 2023: 66 · 2022: 49 · 2021: 57 · 2020: 61 · 2019: 43 · 2018: 45 · 2017: 45 · 2016: 51 · 2015: 35 · 2014: 55 · 2013: 19 · 2012: 27
- FWCI
- 14.52
- Type
- journal article
- Language
- en
- Update notices
- correction (2011-01-17)
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- National Institute of Mental Health (MH019879)
- National Science Foundation (0817965)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- drift-diffusion model, confidence judgments, decision time, choice, random walks, evidence accumulation, time pressure, perceptual decision making, knowledge-based decision making, optimal decision strategies
- MeSH terms
- Choice Behavior, Decision Making, Humans, Judgment, Reaction Time, Time Factors, Signal Detection, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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