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Individual differences in reasoning: Implications for the rationality debate?
Abstract
Much research in the last two decades has demonstrated that human responses deviate from the performance deemed normative according to various models of decision making and rational judgment (e.g., the basic axioms of utility theory). This gap between the normative and the descriptive can be interpreted as indicating systematic irrationalities in human cognition. However, four alternative interpretations preserve the assumption that human behavior and cognition is largely rational. These posit that the gap is due to (1) performance errors, (2) computational limitations, (3) the wrong norm being applied by the experimenter, and (4) a different construal of the task by the subject. In the debates about the viability of these alternative explanations, attention has been focused too narrowly on the modal response. In a series of experiments involving most of the classic tasks in the heuristics and biases literature, we have examined the implications of individual differences in performance for each of the four explanations of the normative/descriptive gap. Performance errors are a minor factor in the gap; computational limitations underlie non-normative responding on several tasks, particularly those that involve some type of cognitive decontextualization. Unexpected patterns of covariance can suggest when the wrong norm is being applied to a task or when an alternative construal of the task should be considered appropriate.
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“Self-consistency leverages the intuition that complex reasoning tasks typically admit multiple reasoning paths that reach a correct answer (Stanovich & West, 2000).”
From Self-Consistency Improves Chain of Thought Reasoning in Language Models (2022) · cites this paper as Stanovich & West, 2000
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Prospect Theory: An Analysis of Decision under Risk
Kahneman, D., & Tversky, A. (1979) · Econometrica · doi:10.2307/1914185 · Cited by 48,524
Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
The satisfaction with life scale
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985) · Journal of Personality Assessment · doi:10.1207/s15327752jpa4901_13 · Cited by 31,768
The need to belong: Desire for interpersonal attachments as a fundamental human motivation.
Baumeister, R. F., & Leary, M. R. (1995) · Psychological Bulletin · doi:10.1037//0033-2909.117.3.497 · Cited by 23,245
Grice, H. P. (1975) · Speech Acts · doi:10.1163/9789004368811_003 · Cited by 23,221
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
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Cited by
A perspective on judgment and choice: mapping bounded rationality.
Kahneman, D. (2003) · American Psychologist · doi:10.1037/0003-066x.58.9.697 · Cited by 5,540
Maps of Bounded Rationality: Psychology for Behavioral Economics
Kahneman, D. (2003) · American Economic Review · doi:10.1257/000282803322655392 · Cited by 5,377
Cognitive Reflection and Decision Making
Frederick, S. (2005) · Journal of Economic Perspectives · doi:10.1257/089533005775196732 · Cited by 5,256
Dual-Process Theories of Higher Cognition: Advancing the Debate
Evans, J. S. B. T., & Stanovich, K. E. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691612460685 · Cited by 4,271
Self-citationRepresentativeness revisited: Attribute substitution in intuitive judgment.
Kahneman, D., & Frederick, S. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.004 · Cited by 3,476
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416
Managerial cognitive capabilities and the microfoundations of dynamic capabilities
Helfat, C. E., & Peteraf, M. A. (2015) · Strategic Management Journal · doi:10.1002/smj.2247 · Cited by 2,056
Ideology, motivated reasoning, and cognitive reflection
Kahan, D. M. (2013) · Judgment and Decision Making · doi:10.1017/s1930297500005271 · Cited by 1,302
Reyna, V. F., & Farley, F. (2006) · Psychological Science in the Public Interest · doi:10.1111/j.1529-1006.2006.00026.x · Cited by 1,244
Efklides, A. (2011) · Educational Psychologist · doi:10.1080/00461520.2011.538645 · Cited by 1,211
A literature review of the anchoring effect
Furnham, A., & Boo, H. C. (2011) · The Journal of Socio-Economics · doi:10.1016/j.socec.2010.10.008 · Cited by 1,179
The Cognitive Reflection Test as a predictor of performance on heuristics-and-biases tasks
Toplak, M. E., West, R. F., & Stanovich, K. E. (2011) · Memory & Cognition · doi:10.3758/s13421-011-0104-1 · Cited by 1,047
Self-citationDolan, R. J., & Dayan, P. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.007 · Cited by 977
Individual differences in adult decision-making competence.
Bruine de Bruin, W., Parker, A. M., & Fischhoff, B. (2007) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.92.5.938 · Cited by 906
Motivated numeracy and enlightened self-government
KAHAN, D. M., PETERS, E., DAWSON, E. C., & SLOVIC, P. (2017) · Behavioural Public Policy · doi:10.1017/bpp.2016.2 · Cited by 883
Narcissism, confidence, and risk attitude
Campbell, W. K., Goodie, A. S., & Foster, J. D. (2004) · Journal of Behavioral Decision Making · doi:10.1002/bdm.475 · Cited by 854
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Toplak, M. E., West, R. F., & Stanovich, K. E. (2014) · Thinking & Reasoning · doi:10.1080/13546783.2013.844729 · Cited by 864
Self-citationOvercoming intuition: Metacognitive difficulty activates analytic reasoning.
Alter, A. L., Oppenheimer, D. M., Epley, N., & Eyre, R. N. (2007) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.136.4.569 · Cited by 844
Pennycook, G., & Rand, D. G. (2020) · Journal of Personality · doi:10.1111/jopy.12476 · Cited by 879
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Wang, X., Wei, J., Schuurmans, D., Le, Q., Chi, E., Narang, S., Chowdhery, A., & Zhou, D. (2022) · arXiv · doi:10.48550/arxiv.2203.11171 · Cited by 829
Religion's evolutionary landscape: Counterintuition, commitment, compassion, communion
Atran, S., & Norenzayan, A. (2004) · Behavioral and Brain Sciences · doi:10.1017/s0140525x04000172 · Cited by 759
Analytic thinking reduces belief in conspiracy theories
Swami, V., Voracek, M., Stieger, S., Tran, U. S., & Furnham, A. (2014) · Cognition · doi:10.1016/j.cognition.2014.08.006 · Cited by 726
The cognitive functions of language
Carruthers, P. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x02000122 · Cited by 728
A meta-analysis of procedures to change implicit measures
Forscher, P. S., Lai, C. K., Axt, J. R., Ebersole, C. R., Herman, M., Devine, P. G., & Nosek, B. A. (2019) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000160 · Cited by 700
Chapter 2 Design for a Working Memory
Oberauer, K. (2009) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(09)51002-x · Cited by 636
Unconscious influences on decision making: A critical review
Newell, B. R., & Shanks, D. R. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003214 · Cited by 652
Kaufman, S. B., Quilty, L. C., Grazioplene, R. G., Hirsh, J. B., Gray, J. R., Peterson, J. B., & DeYoung, C. G. (2016) · Journal of Personality · doi:10.1111/jopy.12156 · Cited by 623
On the reception and detection of pseudo-profound bullshit
Pennycook, G., Allan Cheyne, J., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2015) · Judgment and Decision Making · doi:10.1017/s1930297500006999 · Cited by 536
Metacognition and consciousness
Koriat, A. (2007) · The Cambridge Handbook of Consciousness · doi:10.1017/cbo9780511816789.012 · Cited by 554
Analytic cognitive style predicts religious and paranormal belief
Pennycook, G., Cheyne, J. A., Seli, P., Koehler, D. J., & Fugelsang, J. A. (2012) · Cognition · doi:10.1016/j.cognition.2012.03.003 · Cited by 544
The Metacognitive Demands and Opportunities of Generative AI
Tankelevitch, L., Kewenig, V., Simkute, A., Scott, A. E., Sarkar, A., Sellen, A., & Rintel, S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642902 · Cited by 493
Do frequency representations eliminate conjunction effects? An exercise in adversarial collaboration
Mellers, B., Hertwig, R., & Kahneman, D. (2001) · Psychological Science · doi:10.1111/1467-9280.00350 · Cited by 448
An evaluation of dual-process theories of reasoning
Osman, M. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03196730 · Cited by 444
Explaining modulation of reasoning by belief
Goel, V., & Dolan, R. J. (2003) · Cognition · doi:10.1016/s0010-0277(02)00185-3 · Cited by 442
Cokely, E. T., & Kelley, C. M. (2009) · Judgment and Decision Making · doi:10.1017/s193029750000067x · Cited by 427
West, R. F., Toplak, M. E., & Stanovich, K. E. (2008) · Journal of Educational Psychology · doi:10.1037/a0012842 · Cited by 416
Self-citationSchönberg, T., Daw, N. D., Joel, D., & O'Doherty, J. P. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2496-07.2007 · Cited by 390
Zou, X., Tam, K.-P., Morris, M. W., Lee, S.-L., Lau, I. Y.-M., & Chiu, C.-Y. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0016399 · Cited by 369
Natural myside bias is independent of cognitive ability
Stanovich, K. E., & West, R. F. (2007) · Thinking & Reasoning · doi:10.1080/13546780600780796 · Cited by 356
Self-citationIdeology, Motivated Reasoning, and Cognitive Reflection: An Experimental Study
Kahan, D. M. (2012) · doi:10.2139/ssrn.2182588 · Cited by 331
Behavioral components of impulsivity.
Stahl, C., Voss, A., Schmitz, F., Nuszbaum, M., Tüscher, O., Lieb, K., & Klauer, K. C. (2014) · Journal of Experimental Psychology: General · doi:10.1037/a0033981 · Cited by 319
The brain in your pocket: Evidence that Smartphones are used to supplant thinking
Barr, N., Pennycook, G., Stolz, J. A., & Fugelsang, J. A. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.029 · Cited by 327
Toplak, M. E., Sorge, G. B., Benoit, A., West, R. F., & Stanovich, K. E. (2010) · Clinical Psychology Review · doi:10.1016/j.cpr.2010.04.002 · Cited by 326
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GEARY, D. C. (2008) · Educational Psychologist · doi:10.1080/00461520802392133 · Cited by 324
Shafir, E., & LeBoeuf, R. A. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135213 · Cited by 317
Toplak, M. E., Jain, U., & Tannock, R. (2005) · Behavioral and Brain Functions · doi:10.1186/1744-9081-1-8 · Cited by 303
Nilsen, P., Roback, K., Broström, A., & Ellström, P.-E. (2012) · Implementation Science · doi:10.1186/1748-5908-7-53 · Cited by 284
Implicit cognition and substance use: a meta-analysis
Rooke, S. E., Hine, D. W., & Thorsteinsson, E. B. (2008) · Addictive Behaviors · doi:10.1016/j.addbeh.2008.06.009 · Cited by 278
Kokis, J. V., Macpherson, R., Toplak, M. E., West, R. F., & Stanovich, K. E. (2002) · Journal of Experimental Child Psychology · doi:10.1016/s0022-0965(02)00121-2 · Cited by 274
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Wozny, D. R., Beierholm, U. R., & Shams, L. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000871 · Cited by 265
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Ståhl, T., & van Prooijen, J.-W. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2017.10.026 · Cited by 245
Risen, J. L. (2016) · Psychological Review · doi:10.1037/rev0000017 · Cited by 221
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The dynamics of deductive reasoning: an fMRI investigation
Rodriguez-Moreno, D., & Hirsch, J. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.08.030 · Cited by 71
(Hans) Korteling, J. E., & Toet, A. (2022) · Encyclopedia of Behavioral Neuroscience, 2nd edition · doi:10.1016/b978-0-12-809324-5.24105-9 · Cited by 65
From Visualization to Legal Design: A Collaborative and Creative Process
Berger‐Walliser, G., Barton, T. D., & Haapio, H. (2017) · American Business Law Journal · doi:10.1111/ablj.12101 · Cited by 62
Felmingham, C. M., Adler, N. R., Ge, Z., Morton, R. L., Janda, M., & Mar, V. J. (2021) · American Journal of Clinical Dermatology · doi:10.1007/s40257-020-00574-4 · Cited by 57
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Deming, D. (2021) · doi:10.3386/w28733 · Cited by 52
Trust in deliberation: The consequences of deliberative decision strategies for medical decisions.
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Li, J.-Z., Gui, D.-Y., Feng, C.-L., Wang, W.-Z., Du, B.-Q., Gan, T., & Luo, Y.-J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040316 · Cited by 37
Parsons, P., & Sedig, K. (2014) · Handbook of Human Centric Visualization · doi:10.1007/978-1-4614-7485-2_28 · Cited by 27
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Metadata
- Authors
- Stanovich, K. E., & West, R. F.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 2000-10
- Volume
- 23
- Issue
- 5
- Pages
- 645-665
- ISSN
- 0140-525X
- 1469-1825
- Cited by
- 2,762
- References
- 133
- Language
- en
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