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Part III - Variation in Beliefs

Published online by Cambridge University Press:  03 November 2022

Julien Musolino
Affiliation:
Rutgers University, New Jersey
Joseph Sommer
Affiliation:
Rutgers University, New Jersey
Pernille Hemmer
Affiliation:
Rutgers University, New Jersey
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The Cognitive Science of Belief
A Multidisciplinary Approach
, pp. 417 - 591
Publisher: Cambridge University Press
Print publication year: 2022

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References

References

Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) The computational anatomy of psychosis. Frontiers in Psychiatry, 4, 47. https://doi.org/10.3389/fpsyt.2013.00047Google Scholar
Bleuler, E. (1908) Die Prognose der Dementia praecox (Schizophreniegruppe). Allgemeine Zeitschrift für Psychiatrie und psychischgerichtliche Medizin, 65, 436464Google Scholar
Buchy, L., Woodward, T. S., & Liotti, M. (2007) A cognitive bias against disconfirmatory evidence (BADE) is associated with schizotypy. Schizophrenia Research, 90(1–3), 334337. https://doi.org/10.1016/j.schres.2006.11.012Google Scholar
Cacioppo, J. T., Fowler, J. H., & Christakis, N. A. (2009) Alone in the crowd: the structure and spread of loneliness in a large social network. Journal of Personality and Social Psychology, 97(6), 977991. https://doi.org/10.1037/a0016076CrossRefGoogle Scholar
Christakis, N. A., & Fowler, J. H. (2007) The spread of obesity in a large social network over 32 years. New England Journal of Medicine, 357(4), 370379. https://doi.org/10.1056/NEJMsa066082Google Scholar
Christakis, N. A., & Fowler, J. H. (2008) The collective dynamics of smoking in a large social network. New England Journal of Medicine, 358(21), 22492258. https://doi.org/10.1056/NEJMsa0706154Google Scholar
Clark, A. (2013) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181204. https://doi.org/10.1017/S0140525X12000477CrossRefGoogle ScholarPubMed
Coltheart, M. (2002) Cognitive neuropsychology. In Pashler, H., Wixted, J. (Ed.), Steven’s handbook of experimental psychology (3 ed., Vol. 4, 139174). John Wiley & Sons.Google Scholar
Coltheart, M. (2010) The neuropsychology of delusions. Annals of the New York Academy of Sciences, 1191(1), 1626. https://doi.org/NYAS5496 [pii]10.1111/j.1749-6632.2010.05496.xGoogle Scholar
Coltheart, M., & Davies, M. (2000) Pathologies of belief. Blackwell.Google Scholar
Coltheart, M., Langdon, R., & McKay, R. (2010) Delusional Belief. Annual Reviews Psychology, 62, 271298. https://doi.org/10.1146/annurev.psych.121208.131622Google Scholar
Coltheart, M., Menzies, P., & Sutton, J. (2010) Abductive inference and delusional belief. Cognitive Neuropsychiatry, 15(1), 261287. https://doi.org/10.1080/13546800903439120Google Scholar
Conant, R. C., & Ashby, W. R. (1970) Every good regulator of a system must be a model of that system. International Journal of Systems Science, 1(2), 8997.Google Scholar
Corlett, P. R., Cambridge, V., Gardner, J. M. et al. (2013) Ketamine effects on memory reconsolidation favor a learning model of delusions. PLoS ONE, 8(6), e65088. https://doi.org/10.1371/journal.pone.0065088CrossRefGoogle Scholar
Corlett, P. R., & Fletcher, P. C. (2012) The neurobiology of schizotypy: fronto-striatal prediction error signal correlates with delusion-like beliefs in healthy people. Neuropsychologia, 50(14), 36123620. https://doi.org/10.1016/j.neuropsychologia.2012.09.045Google Scholar
Corlett, P. R., Fletcher, P. C. (2014) Computational psychiatry: a Rosetta Stone linking the brain to mental illness. Lancet Psychiatry 1(5), 399402.Google Scholar
Corlett, P. R., Frith, C. D., & Fletcher, P. C. (2009) From drugs to deprivation: a Bayesian framework for understanding models of psychosis. Psychopharmacology (Berlin), 206(4), 515530.Google Scholar
Corlett, P. R., Honey, G. D., Aitken, M. R. et al. (2006) Frontal responses during learning predict vulnerability to the psychotogenic effects of ketamine: linking cognition, brain activity, and psychosis. Archives of General Psychiatry, 63(6), 611621. https://doi.org/10.1001/archpsyc.63.6.611Google Scholar
Corlett, P. R., Honey, G. D., & Fletcher, P. C. (2007) From prediction error to psychosis: ketamine as a pharmacological model of delusions. Journal of Psychopharmacology, 21(3), 238252. https://doi.org/10.1177/0269881107077716Google Scholar
Corlett, P. R., Honey, G. D., Krystal, J. H., & Fletcher, P. C. (2011) Glutamatergic model psychoses: prediction error, learning, and inference. Neuropsychopharmacology, 36(1), 294315. https://doi.org/10.1038/npp.2010.163Google Scholar
Corlett, P. R., Krystal, J. H., Taylor, J. R., & Fletcher, P. C. (2009) Why do delusions persist? Frontiers in Human Neuroscience, 3, 12. https://doi.org/10.3389/neuro.09.012.2009Google Scholar
Corlett, P. R., Murray, G. K., Honey, G. D. et al. (2007) Disrupted prediction-error signal in psychosis: evidence for an associative account of delusions. Brain, 130(Pt 9), 23872400. https://doi.org/10.1093/brain/awm173Google Scholar
Corlett, P. R., Taylor, J. R., Wang, X. J., Fletcher, P. C., & Krystal, J. H. (2010a) Toward a neurobiology of delusions. Progress in Neurobiology, 92(3), 345369. https://doi.org/10.1016/j.pneurobio.2010.06.007Google Scholar
Culbreth, A. J., Gold, J. M., Cools, R., & Barch, D. M. (2016) Impaired activation in cognitive control regions predicts reversal learning in schizophrenia. Schizophrenia Bulletin, 42(2), 484493. https://doi.org/10.1093/schbul/sbv075Google Scholar
Dayan, P., Kakade, S., & Montague, P. R. (2000) Learning and selective attention. Nature Neuroscience, 3(Suppl), 12181223. https://doi.org/10.1038/81504Google Scholar
Dickinson, A. (2001) The 28th Bartlett Memorial Lecture. Causal learning: an associative analysis. Quarterly Journal of Experimental Psychology B, 54(1), 325.Google Scholar
Diederen, K. M., & Schultz, W. (2015) Scaling prediction errors to reward variability benefits error-driven learning in humans. Journal of Neurophysiology, 114(3), 16281640. https://doi.org/10.1152/jn.00483.2015Google Scholar
Durkheim, E. (1897/1967) Le suicide: etude de sociologie. Presses Universitaires de France.Google Scholar
Feeney, E. J., Groman, S. M., Taylor, J. R., & Corlett, P. R. (2017) Explaining delusions: reducing uncertainty through basic and computational neuroscience. Schizophrenia Bulletin, 43(2), 263272. https://doi.org/10.1093/schbul/sbw194Google Scholar
Fletcher, P. C., Anderson, J. M., Shanks, D. R. (2001) Responses of human frontal cortex to surprising events are predicted by formal associative learning theory. Nature Neuroscience, 4(10), 10431048. https://doi.org/10.1038/nn733Google Scholar
Fletcher, P. C., & Frith, C. D. (2009) Perceiving is believing: a Bayesian approach to explaining the positive symptoms of schizophrenia. Nature Reviews Neuroscience, 10(1), 4858.Google Scholar
Fodor, J. A. (1983) The modularity of mind: an essay on faculty psychology. MIT Press.CrossRefGoogle Scholar
Fotopoulou, A. (2014) Time to get rid of the “Modular” in neuropsychology: a unified theory of anosognosia as aberrant predictive coding. Journal of Neuropsychology, 8(1), 119. https://doi.org/10.1111/jnp.12010Google Scholar
Gradin, V. B., Kumar, P., Waiter, G. et al. (2011). Expected value and prediction error abnormalities in depression and schizophrenia. Brain, 134(Pt 6), 17511764. https://doi.org/10.1093/brain/awr059Google Scholar
Halligan, P. W., & David, A. S. (2001) Cognitive neuropsychiatry: towards a scientific psychopathology. Nature Reviews Neuroscience, 2(3), 209215.CrossRefGoogle ScholarPubMed
Hartley, D. (1749/1976) Observations on Man, his frame, his duty, and his expectations. Delmar.Google Scholar
Helmholtz, H. V. (1867) Handbuch der physiologischen Optik. Voss.Google Scholar
Heyes, C., & Pearce, J. M. (2015) Not-so-social learning strategies. Proceedings in Biological Science, 282(1802). https://doi.org/10.1098/rspb.2014.1709Google Scholar
Holme, P., & Newman, M. E. (2006) Nonequilibrium phase transition in the coevolution of networks and opinions. Physics Review E Statistical Nonlinear and Soft Matter Physics, 74(5 Pt 2), 056108. https://doi.org/10.1103/PhysRevE.74.056108Google Scholar
Honsberger, M. J., Taylor, J. R., & Corlett, P. R. (2015) Memories reactivated under ketamine are subsequently stronger: A potential pre-clinical behavioral model of psychosis. Schizophrenia Research. https://doi.org/10.1016/j.schres.2015.02.009Google Scholar
Hume, D. (1900) An enquiry concerning human understanding. The Open court publishing co.Google Scholar
Izquierdo, A., Brigman, J. L., Radke, A. K., Rudebeck, P. H., & Holmes, A. (2016) The neural basis of reversal learning: An updated perspective. Neuroscience 14;345:1226. https://doi.org/10.1016/j.neuroscience.2016.03.021Google Scholar
Johnson, D. D., & Fowler, J. H. (2011) The evolution of overconfidence. Nature, 477(7364), 317320. https://doi.org/10.1038/nature10384Google Scholar
Kilhlstrom, J. F., & Hoyt, I. P. (1988) Hypnosis and the psychology of delusions. Wiley.Google Scholar
Lavigne, K. M., Menon, M., Moritz, S., & Woodward, T. S. (2020) Functional brain networks underlying evidence integration and delusional ideation. Schizophrenia Research, 216, 302309. https://doi.org/10.1016/j.schres.2019.11.038CrossRefGoogle ScholarPubMed
Laws, K. R., Kondel, T. K., Clarke, R., & Nillo, A. M. (2011) Delusion-prone individuals: stuck in their ways? Psychiatry Research, 186(2–3), 219224. https://doi.org/10.1016/j.psychres.2010.09.018Google Scholar
Lupyan, G., & Clark, A. (2015) Words and the world: predictive coding and the language-perception-cognition interface. Current Directions in Psychological Science, 24(4), 279284. https://doi.org/10.1177/0963721415570732Google Scholar
Mackintosh, N. J. (1975) A theory of attention: variations in the associability of stimuli with reinforcement. Psychological Review, 82(4), 276298.Google Scholar
Maher, B. A. (1974) Delusional thinking and perceptual disorder. Journal of Individual Psychol, 30(1), 98113.Google Scholar
Maher, B. A. (1988a) Anomalous experience and delusional thinking: The logic of explanations. In Oltmanns, T. F., & Maher, B.A. (Eds.). Delusional Beliefs (pp. 1533). John Wiley and Sons.Google Scholar
Maher, B. A. (1988b) Delusions as normal theories. Wiley.Google Scholar
McKay, R. T., & Dennett, D. C. (2009) The evolution of misbelief. Behavioral and Brain Sciences, 32(6), 493510. https://doi.org/10.1017/S0140525X09990975Google Scholar
Miller, R. (1976) Schizophrenic psychology, associative learning and the role of forebrain dopamine. Medical Hypotheses, 2(5), 203211.Google Scholar
Mitchell, C. J., De Houwer, J., & Lovibond, P. F. (2009) The propositional nature of human associative learning. The Behavioral and Brain Sciences, 32(2), 183198. https://doi.org/10.1017/S0140525X09000855Google Scholar
Moritz, S., & Woodward, T. (2004) Plausibility judgment in schizophrenic patients: evidence for a liberal acceptance bias. German Journal of Psychiatry, 7(4), 6674.Google Scholar
Nassar, M. R., Waltz, J. A., Albrecht, M. A., Gold, J. M., & Frank, M. J. (2021) All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. Brain, 144(3), 10131029 https://doi.org/10.1093/brain/awaa453Google Scholar
Pearce, J. M., & Hall, G. (1980) A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli. Psychological Review, 87(6), 532552.Google Scholar
Peters, E., Joseph, S., Day, S., & Garety, P. (2004) Measuring delusional ideation: the 21-item Peters et al. Delusions Inventory (PDI). Schizophrenia Bulletin, 30(4), 10051022.Google Scholar
Peters, E. R., Joseph, S. A., & Garety, P. A. (1999) Measurement of delusional ideation in the normal population: introducing the PDI (Peters et al. Delusions Inventory). Schizophrenia Bulletin, 25(3), 553576.Google Scholar
Powers, A. R., Mathys, C., & Corlett, P. R. (2017) Pavlovian conditioning-induced hallucinations result from overweighting of perceptual priors. Science, 357(6351), 596600. https://doi.org/10.1126/science.aan3458Google Scholar
Powers, A. R. III, Kelley, M., Corlett, P.R. (2016) Hallucinations as Top-Down effects on Perception. Biological Psychiatry: CNNI, 1(5), 393400.Google Scholar
Preuschoff, K., & Bossaerts, P. (2007) Adding prediction risk to the theory of reward learning. Annals of the New York Academy of Sciences, 1104, 135146. https://doi.org/10.1196/annals.1390.005Google Scholar
Preuschoff, K., Quartz, S. R., & Bossaerts, P. (2008) Human insula activation reflects risk prediction errors as well as risk. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 28(11), 27452752. https://doi.org/10.1523/JNEUROSCI.4286-07.2008Google Scholar
Quine, W. V., & Quine, W. V. (1951) Two dogmas of empiricism. Philosophical Review, 60, 2043.CrossRefGoogle Scholar
Reddy, L. F., Waltz, J. A., Green, M. F., Wynn, J. K., & Horan, W. P. (2016) Probabilistic reversal learning in schizophrenia: stability of deficits and potential causal mechanisms. Schizophrenia Bulletin, 42(4), 942951. https://doi.org/10.1093/schbul/sbv226Google Scholar
Reed, E. J., Uddenberg, S., Suthaharan, P. (2020) Paranoia as a deficit in non-social belief updating. Elife, 9. https://doi.org/10.7554/eLife.56345Google Scholar
Reed, G. F. (1972) The psychology of anomalous experience: a cognitive approach. Hutchinson.Google Scholar
Rescorla, R. A., Wagner, A.R. (1972) A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and non-reinforcement. In Black, A. H., & Prokasy, W. F. (Eds.). Classical conditioning II: Current research and theory (pp. 6499). Appleton-Century-Crofts.Google Scholar
Romaniuk, L., Honey, G. D., King, J. R. et al. (2010) Midbrain activation during Pavlovian conditioning and delusional symptoms in schizophrenia. Archives of General Psychiatry, 67(12), 12461254. https://doi.org/10.1001/archgenpsychiatry.2010.169Google Scholar
Rosenquist, J. N., Fowler, J. H., & Christakis, N. A. (2011) Social network determinants of depression. Molecular Psychiatry, 16(3), 273281. https://doi.org/10.1038/mp.2010.13Google Scholar
Ross, R. M., McKay, R., Coltheart, M., & Langdon, R. (2015) Jumping to conclusions about the beads task? A meta-analysis of delusional ideation and data-gathering. Schizophrenia Bulletin, 41(5), 11831191. https://doi.org/10.1093/schbul/sbu187Google Scholar
Schlagenhauf, F., Huys, Q. J., Deserno, L. et al. (2014) Striatal dysfunction during reversal learning in unmedicated schizophrenia patients. Neuroimage, 89 (100), 171180. https://doi.org/10.1016/j.neuroimage.2013.11.034Google Scholar
Schlagenhauf, F., Sterzer, P., Schmack, K. et al. (2009) Reward feedback alterations in unmedicated schizophrenia patients: relevance for delusions. Biological Psychiatry, 65(12), 10321039. https://doi.org/10.1016/j.biopsych.2008.12.016CrossRefGoogle ScholarPubMed
Sutton, R. S., Barto, A. G. (1998) Reinforcement learning: an introduction. MIT Press.Google Scholar
Tranel, D., & Damasio, A. R. (1985) Knowledge without awareness: an autonomic index of facial recognition by prosopagnosics. Science, 228(4706), 14531454.Google Scholar
Waltz, J. A. (2016) The neural underpinnings of cognitive flexibility and their disruption in psychotic illness. Neuroscience, 345, 203217. https://doi.org/10.1016/j.neuroscience.2016.06.005Google Scholar
Waltz, J. A., & Gold, J. M. (2007) Probabilistic reversal learning impairments in schizophrenia: further evidence of orbitofrontal dysfunction. Schizophrenia research, 93(1–3), 296303. https://doi.org/10.1016/j.schres.2007.03.010Google Scholar
Waltz, J. A., Kasanova, Z., Ross, T. J. et al. (2013) The roles of reward, default, and executive control networks in set-shifting impairments in schizophrenia. PLoS ONE, 8(2), e57257. https://doi.org/10.1371/journal.pone.0057257Google Scholar
Waltz, J. A., Schweitzer, J. B., Ross, T. J. et al. (2010) Abnormal responses to monetary outcomes in cortex, but not in the basal ganglia, in schizophrenia. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 35(12), 24272439. doi: 10.1038/npp.2010.126Google Scholar
Widrow, B., Hoff, M.E. Jr. (1960) Adaptive switching circuits. Technical Report No. 1553-1 June 30, 1960.Google Scholar
Young, G. (2008) Capgras delusion: an interactionist model. Conscious and Cognition, 17(3), 863876.CrossRefGoogle ScholarPubMed

References

American Psychiatric Association (2000) Diagnostic and statistical manual of mental disorders: DSM-IV-TR. American Psychiatric Publishing.Google Scholar
American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders: DSM-5. American Psychiatric Publishing.Google Scholar
Bayne, T. (2010) Delusions as doxastic states: contexts, compartments, and commitments. Philosophy, Psychiatry, & Psychology, 17(4), 329336.Google Scholar
Birnbaum, K. (1974) The making of a psychosis: the principles of structural analysis in psychiatry. In Hirsch, S. R., & Shepherd, M. (Eds.). Themes and variations in European psychiatry: an anthology (pp. 197238). John Wright & Sons.Google Scholar
Bleuler, E. (1911) Dementia Praecox oder Gruppe der Schizophrenien. Franz Deuticke.Google Scholar
Boller, F., Verny, M., Hugonot-Diener, L., & Saxton, J. (2002). Clinical features and assessment of severe dementia. A review. European Journal of Neurology, 9(2), 125136.Google Scholar
Bortolotti, L. (2010) Delusions and other irrational beliefs. Oxford University Press.Google Scholar
Coltheart, M., Menzies, P., & Sutton, J. (2010) Abductive inference and delusional belief. Cognitive Neuropsychiatry, 15(1), 261287.Google Scholar
Currie, G. (2000) Imagination, delusion and hallucinations. Mind and Language, 15(1), 168183.Google Scholar
Davies, M., Coltheart, M., Langdon, R., & Breen, N. (2001) Monothematic delusions: towards a two-factor account. Philosophy, Psychiatry, & Psychology, 8(2), 133158.Google Scholar
Dennett, D. C. (1987) The intentional stance. MIT Press.Google Scholar
Disner, S. G., Beevers, C. G., Haigh, E. a P., & Beck, A. T. (2011) Neural mechanisms of the cognitive model of depression. Nature Reviews. Neuroscience, 12(8), 467477.Google Scholar
Frith, C. D. & Done, D. J. (1989) Experiences of alien control in schizophrenia reflect a disorder in the central monitoring of action. Psychological Medicine, 19(2), 359363.Google Scholar
Garety, P. A., Hemsley, D. R., & Wessely, S. (1991) Reasoning in deluded schizophrenic and paranoid patients. Biases in performance on a probabilistic inference task. The Journal of Nervous and Mental Disease, 179(4), 194201.Google Scholar
Hohwy, J. & Rajan, V. (2012) Delusions as forensically disturbing perceptual inferences. Neuroethics, 5(1), 511.CrossRefGoogle Scholar
Jaspers, K. (1963) General psychopathology, Hoenig, J. & Hamilton, M. W. (Trans.). Manchester University Press.Google Scholar
Johns, L., Jolley, S., Keen, N., & Peters, E. (2014) CBT with people with psychosis. In Adrian, W. & Grey, N. (Eds.). How to Become a More Effective CBT Therapist (pp. 191207). John Wiley & Sons.Google Scholar
Kapur, S. (2003) Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia. American Journal of Psychiatry, 160(1), 1323.Google Scholar
Kremen, W. S., Seidman, L. J., Goldstein, J. M., Faraone, S. V., & Tsuang, M. T. (1994) Systematized delusions and neuropsychological function in paranoid and nonparanoid schizophrenia. Schizophrenia Research, 12(3), 223236.Google Scholar
Kumral, E. & Oztürk, O. (2004) Delusional state following acute stroke. Neurology, 62(1), 110113.Google Scholar
Lewis, A. (1934) The psychopathology of insight. British Journal of Medical Psychology, 14(4), 332348.Google Scholar
Maher, B A. (1974) Delusional thinking and perceptual disorder. Journal of Individual Psychology, 30(1), 98113.Google Scholar
Maher, B. A. & Ross, J. S. (1984) Delusions. In Adams, H. E. & Sutker, P. B. (Eds.). Comprehensive Handbook of Psychopathology (pp. 383409). Plenum Press.Google Scholar
McKay, R. (2012) Delusional inference. Mind & Language, 27(3), 330355.Google Scholar
Millikan, R. G. (1989) In defense of proper functions. Philosophy of Science, 56(2), 288302.Google Scholar
Miyazono, K. (2015) Delusions as harmful malfunctioning beliefs. Consciousness and Cognition, 33, 561573.Google Scholar
Miyazono, K. (2020) Delusion and evidence (Mousou to shouko) [in Japanese]. Tetsugaku-Zasshi, 134(807), 90113.Google Scholar
Murphy, D. (2012) The folk epistemology of delusions. Neuroethics, 5(1), 1922.Google Scholar
Peters, E. R., Joseph, S. A., & Garety, P. A. (1999) Measurement of delusional ideation in the normal population: introducing the PDI (Peters et al. Delusions Inventory). Schizophrenia Bulletin, 25(3), 553576.Google Scholar
Rosner, R. ed. (2000) Principles and practice of forensic psychiatry (2nd ed.). CRC Press.Google Scholar
Sakakibara, E. (2016) Irrationality and pathology of beliefs. Neuroethics, 9(2), 147157.Google Scholar
Sakakibara, E. (2019) Intensity of experience: Maher’s theory of schizophrenic delusion revisited. Neuroethics, 12(2), 171182.Google Scholar
Schneider, K. (1959) Clinical psychopathology, Hamilton, M. W. (Trans.). Grune & Stratton.Google Scholar
Searle, J. R. (1979) Expression and meaning: studies in the theory of speech acts. Cambridge University Press.Google Scholar
Stone, T. & Young, A. W. (1997) Delusions and brain injury: the philosophy and psychology of belief. Mind and Language, 12(3&4), 327364.Google Scholar
Tumulty, M. (2012) Delusions and not-quite-beliefs. Neuroethics, 5(1), 2937.Google Scholar
Von Domarus, E. (1944) The specific laws of logic in schizophrenia. In Kasanin, J. S. (Ed.). Language and thought in schizophrenia (pp. 104114). University of California Press.Google Scholar
Wakefield, J. C. (1992) Disorder as harmful dysfunction: a conceptual critique of DSM-III – R’s definition of mental disorder. Psychological Review, 99(2), 232247.Google Scholar
Wessely, S., Buchanan, A., Reed, A., Cutting, J., Everitt, B., Garety, P., & Taylor, P. J. (1993) Acting on delusions. I: prevalence. The British Journal of Psychiatry, 163(1), 6976.Google Scholar
Williams, E. B. (1964) Deductive reasoning in schizophrenia. Journal of Abnormal Psychology, 69(1), 4761.Google Scholar
Woodward, T. S., Moritz, S., Cuttler, C., & Whitman, J. C. (2006) The contribution of a cognitive bias against disconfirmatory evidence (BADE) to delusions in schizophrenia. Journal of Clinical and Experimental Neuropsychology, 28(4), 605617.Google Scholar

References

Abelson, R. P. (1986) Beliefs are like possessions. Journal of the Theory of Social Behaviour, 16, 223250.Google Scholar
Abelson, R. P. (1988) Conviction. American Psychologist, 43, 267275.Google Scholar
Aczel, B., Bago, B., Szollosi, A., Foldes, A., & Lukacs, B. (2015) Measuring individual differences in decision biases: methodological considerations. Frontiers in Psychology, 6(1770). https://doi.org/10.3389/fpsyg.2015.01770Google Scholar
Ahn, W.-Y., Kishida, K., Gu, X. et al. (2014) Nonpolitical images evoke neural predictors of political ideology. Current Biology, 24(22), 26932699.Google Scholar
Alloy, L. B. & Tabachnik, N. (1984) Assessment of covariation by humans and animals: the joint influence of prior expectations and current situational information. Psychological Review, 91, 112149.Google Scholar
Babcock, L., Loewenstein, G., Issacharoff, S., & Camerer, C. (1995) Biased judgments of fairness in bargaining. The American Economic Review, 85, 13371343.Google Scholar
Blackmore, S. (1999) The meme machine. Oxford University Press.Google Scholar
Block, J. & Block, J. H. (2006) Nursery school personality and political orientation two decades later. Journal of Research in Personality, 40, 734749.Google Scholar
Bolsen, T. & Palm, R. (2020) Motivated reasoning and political decision making. In Thompson, W. (Ed.). Oxford Research Encyclopedia, Politics. https://doi.org/10.1093/acrefore/9780190228637.013.923. https://oxfordre.com/politics/politics/view/10.1093/acrefore/9780190228637.001.0001/acrefore-9780190228637-e-923Google Scholar
Bouchard, T. J. & McGue, M. (2003) Genetic and environmental influences on human psychological differences. Journal of Neurobiology, 54, 445.Google Scholar
Bovens, L. & Hartmann, P. (2003) Bayesian epistemology. Oxford University Press.Google Scholar
Bruine de Bruin, W., Parker, A. M., & Fischhoff, B. (2007) Individual differences in adult decision-making competence. Journal of Personality and Social Psychology, 92, 938956.Google Scholar
Clark, C. J., Liu, B. S., Winegard, B. M., & Ditto, P. H. (2019) Tribalism is human nature. Current Directions in Psychological Science, 28, 587592.Google Scholar
Clark, C. J. & Winegard, B. M. (2020) Tribalism in war and peace: the nature and evolution of ideological epistemology and its significance for modern social science. Psychological Inquiry, 31, 122.Google Scholar
Clements, Z. A. & Munro, G. D. (2021) Biases and their impact on opinions of transgender bathroom usage. Journal of Applied Social Psychology, 51 370383. https://doi.org/10.1111/jasp.12741Google Scholar
Dawes, R. M. (1989) Statistical criteria for establishing a truly false consensus effect. Journal of Experimental Social Psychology, 25, 117.Google Scholar
Dawes, R. M. (1990) The potential nonfalsity of the false consensus effect. In Hogarth, R. M. (Ed.). Insights into decision making (pp. 179199). University of Chicago Press.Google Scholar
De Neve, J.-E. (2015) Personality, childhood experience, and political ideology. Political Psychology, 36, 5573.Google Scholar
Dennett, D. C. (1995) Darwin’s dangerous idea: evolution and the meanings of life. Simon & Schuster.Google Scholar
Dennett, D. C. (2017) From bacteria to Bach and back. Norton.Google Scholar
Dentakos, S., Saoud, W., Ackerman, R., & Toplak, M. E. (2019) Does domain matter? Monitoring accuracy across domains. Metacognition and Learning, 14, 413436. https://doi.org/10.1007/s11409–019-09198-4Google Scholar
Ditto, P., Liu, B., Clark, C. et al. (2019a) At least bias Is bipartisan: a meta-analytic comparison of partisan bias in liberals and conservatives. Perspectives on Psychological Science, 14, 273291.Google Scholar
Ditto, P., Liu, B., Clark, C. et al. (2019b) Partisan bias and its discontents. Perspectives on Psychological Science, 14, 304316.Google Scholar
Druckman, J. N. (2012) The politics of motivation. Critical Review, 24(2), 199216.Google Scholar
Drummond, C. & Fischhoff, B. (2017) Individuals with greater science literacy and education have more polarized beliefs on controversial science topics. Proceedings of the National Academy of Sciences, 114(36), 9587.Google Scholar
Drummond, C. & Fischhoff, B. (2019) Does “putting on your thinking cap” reduce myside bias in evaluation of scientific evidence? Thinking & Reasoning, 25, 477505.Google Scholar
Edwards, K. & Smith, E. E. (1996) A disconfirmation bias in the evaluation of arguments. Journal of Personality and Social Psychology, 71, 524.Google Scholar
Ehret, P. J., Sparks, A. C., & Sherman, D. K. (2017) Support for environmental protection: an integration of ideological-consistency and information-deficit models. Environmental Politics, 26, 253277.Google Scholar
Eichmeier, A. & Stenhouse, N. (2019) Differences that don’t make much difference: Party asymmetry in open-minded cognitive styles has little relationship to information processing behavior. Research & Politics, 6(3), 2053168019872045. https://doi.org/10.1177/2053168019872045Google Scholar
Epley, N. & Gilovich, T. (2016) The mechanics of motivated reasoning. Journal of Economic Perspectives, 30(3), 133140.Google Scholar
Evans, J. St. B. T. (2019) Reflections on reflection: the nature and function of Type 2 processes in dual-process theories of reasoning. Thinking and Reasoning, 25, 383415.Google Scholar
Evans, J. St. B. T., Over, D. E., & Manktelow, K. (1993) Reasoning, decision making and rationality. Cognition, 49, 165187.Google Scholar
Finucane, M. L. & Gullion, C. M. (2010) Developing a tool for measuring the decision-making competence of older adults. Psychology and Aging, 25, 271288.Google Scholar
Fraley, R. C., Griffin, B. N., Belsky, J., & Roisman, G. I. (2012) Developmental antecedents of political ideology: A longitudinal investigation from birth to age 18 years. Psychological Science, 23, 14251431.Google Scholar
Frederick, S. (2005) Cognitive reflection and decision making. Journal of Economic Perspectives, 19, 2542.Google Scholar
Funk, C. L., Smith, K. B., Alford, J. R. et al. (2013) Genetic and environmental transmission of political orientations. Political Psychology, 34, 805819.Google Scholar
Gentzkow, M. & Shapiro, J. (2006) Media bias and reputation. Journal of Political Economy, 114, 280316.Google Scholar
Greene, J. D. (2013) Moral tribes. Penguin Press.Google Scholar
Guay, B. & Johnston, C. (2021) Ideological asymmetries and the determinants of politically motivated reasoning. American Journal of Political Science, 65.Google Scholar
Hahn, U. & Harris, A. J. L. (2014) What does it mean to be biased: motivated reasoning and rationality. In Ross, B. H. (Ed.). Psychology of Learning and Motivation, Vol. 61(pp. 41102). Academic Press.Google Scholar
Haidt, J. (2012) The righteous mind. Pantheon Books.Google Scholar
Hamilton, L. C. (2011) Education, politics and opinions about climate change evidence for interaction effects. Climatic Change, 104, 231242.Google Scholar
Harris, E. A. & Van Bavel, J. J. (2021) Preregistered replication of “feeling superior is a bipartisan issue: extremity (not direction) of political views predicts perceived belief superiority”. Psychological Science, 32, 451458.Google Scholar
Hart, W., Albarracin, D., Eagly, A. H., Brechan, I., Lindberg, M. J., & Merrill, L. (2009) Feeling validated versus being correct: a meta-analysis of selective exposure to information. Psychological Bulletin, 135, 555588.Google Scholar
Hatemi, P. K. & McDermott, R. (2016) Give me attitudes. Annual Review of Political Science, 19, 331350.Google Scholar
Henry, P. J. & Napier, J. L. (2017) Education is related to greater ideological prejudice. Public Opinion Quarterly, 81, 930942.Google Scholar
Hoch, S. J. (1987) Perceived consensus and predictive accuracy: the pros and cons of projection. Journal of Personality and Social Psychology, 53, 221234.Google Scholar
Houston, D. A. & Fazio, R. H. (1989) Biased processing as a function of attitude accessibility: making objective judgments subjectively. Social Cognition, 7, 5166.Google Scholar
Hufer, A., Kornadt, A. E., Kandler, C., & Riemann, R. (2020) Genetic and environmental variation in political orientation in adolescence and early adulthood: a nuclear twin family analysis. Journal of Personality and Social Psychology, 118, 762776.Google Scholar
Jones, P. E. (2019) Partisanship, political awareness, and retrospective evaluations, 1956–2016. Political Behavior, 42, 12951317. doi:10.1007/s11109-019-09543-yGoogle Scholar
Joslyn, M. R. & Haider-Markel, D. P. (2014) Who knows best? Education, partisanship, and contested facts. Politics & Policy, 42, 919947.Google Scholar
Kahan, D. M. (2013) Ideology, motivated reasoning, and cognitive reflection. Judgment and Decision Making, 8, 407424.Google Scholar
Kahan, D. M. (2015) Climate-science communication and the measurement problem. Political Psychology, 36, 143.Google Scholar
Kahan, D. M. & Corbin, J. C. (2016) A note on the perverse effects of actively open-minded thinking on climate-change polarization. Research & Politics, 3(4), 15. https://doi.org/10.1177/2053168016676705Google Scholar
Kahan, D. M., Hoffman, D. A., Braman, D., Evans, D., & Rachlinski, J. J. (2012) “They saw a protest”: cognitive illiberalism and the speech-conduct distinction. Stanford Law Review, 64(4), 851906.Google Scholar
Kahan, D. M., Peters, E., Dawson, E., & Slovic, P. (2017) Motivated numeracy and enlightened self-government. Behavioural Public Policy, 1, 5486.Google Scholar
Kahan, D. M., Peters, E., Wittlin, M. et al. (2012) The polarizing impact of science literacy and numeracy on perceived climate change risks. Nature Climate Change, 2, 732735.Google Scholar
Kahan, D. M. & Stanovich, K. E. (2016) Rationality and belief in human evolution. Annenberg Public Policy Center Working Paper No. 5. https://ssrn.com/abstract=2838668Google Scholar
Kahneman, D. (2011) Thinking, fast and slow. Farrar, Straus & Giroux.Google Scholar
Klaczynski, P. A. (1997) Bias in adolescents’ everyday reasoning and its relationship with intellectual ability, personal theories, and self-serving motivation. Developmental Psychology, 33, 273283.Google Scholar
Klaczynski, P. A. (2014) Heuristics and biases: interactions among numeracy, ability, and reflectiveness predict normative responding. Frontiers in Psychology, 5, 113.Google Scholar
Klaczynski, P. A., & Lavallee, K. L. (2005) Domain-specific identity, epistemic regulation, and intellectual ability as predictors of belief-based reasoning: A dual-process perspective. Journal of Experimental Child Psychology, 92, 124.Google Scholar
Klaczynski, P. A., & Robinson, B. (2000) Personal theories, intellectual ability, and epistemological beliefs: adult age differences in everyday reasoning tasks. Psychology and Aging, 15, 400416.Google Scholar
Koehler, J. J. (1993) The influence of prior beliefs on scientific judgments of evidence quality. Organizational Behavior and Human Decision Processes, 56, 2855.Google Scholar
Kokis, J., Macpherson, R., Toplak, M., West, R. F., & Stanovich, K. E. (2002) Heuristic and analytic processing: age trends and associations with cognitive ability and cognitive styles. Journal of Experimental Child Psychology, 83, 2652.Google Scholar
Kornblith, H. (1993) Inductive inference and its natural ground. MIT University Press.Google Scholar
Kraft, P. W., Lodge, M., & Taber, C. S. (2015) Why people “Don’t trust the evidence”: motivated reasoning and scientific beliefs. The Annals of the American Academy of Political and Social Science, 658(1), 121133.Google Scholar
Kuhn, D. & Modrek, A. (2018) Do reasoning limitations undermine discourse? Thinking & Reasoning, 24, 97116.Google Scholar
Liberali, J. M., Reyna, V. F., Furlan, S., Stein, L. M., & Pardo, S. T. (2012) Individual differences in numeracy and cognitive reflection, with implications for biases and fallacies in probability judgment. Journal of Behavioral Decision Making, 25, 361381.Google Scholar
Ludeke, S., Johnson, W., & Bouchard, T. J. (2013) “Obedience to traditional authority:” a heritable factor underlying authoritarianism, conservatism and religiousness. Personality and Individual Differences, 55, 375380.Google Scholar
Lupia, A., Levine, A. S., Menning, J. O., & Sin, G. (2007) Were Bush tax cut supporters “simply ignorant?” A second look at conservatives and liberals in “Homer Gets a Tax Cut.” Perspectives on Politics, 5, 773784.Google Scholar
Macpherson, R. & Stanovich, K. E. (2007) Cognitive ability, thinking dispositions, and instructional set as predictors of critical thinking. Learning and Individual Differences, 17, 115127.Google Scholar
Mercier, H. & Sperber, D. (2017) The enigma of reason. Harvard University Press.Google Scholar
O’Connor, C. & Weatherall, J. O. (2018) Scientific polarization. European Journal for Philosophy of Science, 8, 855875.Google Scholar
Olsson, E. J. (2013) A Bayesian simulation model of group deliberation and polarization. In Zenker, F. (Ed.). Bayesian argumentation (pp. 113133). Springer.Google Scholar
Oskarsson, S., Cesarini, D., Dawes, C. et al. (2015) Linking genes and political orientations: testing the cognitive ability as mediator hypothesis. Political Psychology, 36, 649665.Google Scholar
Parker, A. M., Bruine de Bruin, W., Fischhoff, B., & Weller, J. (2018) Robustness of decision-making competence: evidence from two measures and an 11-year longitudinal study. Journal of Behavioral Decision Making, 31, 380391.Google Scholar
Parker, A. M. & Fischhoff, B. (2005) Decision-making competence: external validation through an individual differences approach. Journal of Behavioral Decision Making, 18, 127.Google Scholar
Patel, N., Baker, S. G., & Scherer, L. D. (2019) Evaluating the cognitive reflection test as a measure of intuition/reflection, numeracy, and insight problem solving, and the implications for understanding real-world judgments and beliefs. Journal of Experimental Psychology: General, 148, 21292153.Google Scholar
Perkins, D. N. (1985). Postprimary education has little impact on informal reasoning. Journal of Educational Psychology, 77, 562571.Google Scholar
Perkins, D. N., Farady, M., & Bushey, B. (1991) Everyday reasoning and the roots of intelligence. In Voss, J., Perkins, D., & Segal, J. (Eds.). Informal reasoning and education (pp. 83105). Erlbaum.Google Scholar
Ross, L., Greene, D., & House, P. (1977) The “false consensus effect”: an egocentric bias in social perception and attribution processes. Journal of Experimental Social Psychology, 13, 279301.Google Scholar
, W., West, R. F., & Stanovich, K. E. (1999) The domain specificity and generality of belief bias: searching for a generalizable critical thinking skill. Journal of Educational Psychology, 91, 497510.Google Scholar
Sarathchandra, D., Navin, M. C., Largent, M. A., & McCright, A. M. (2018) A survey instrument for measuring vaccine acceptance. Preventive Medicine, 109, 17.CrossRefGoogle ScholarPubMed
Simas, E. N., Clifford, S., & Kirkland, J. H. (2020). How empathic concern fuels political polarization. American Political Science Review, 114, 258269.Google Scholar
Sinayev, A. & Peters, E. (2015) Cognitive reflection vs. calculation in decision making. Frontiers in Psychology, 6(532). doi:10.3389/fpsyg.2015.00532Google Scholar
Sloman, S. & Fernbach, P. M. (2017) The knowledge illusion. Riverhead Books.Google Scholar
Spearman, C. (1904) General intelligence, objectively determined and measured. American Journal of Psychology, 15, 201293.Google Scholar
Spearman, C. (1927) The abilities of man. Macmillan.Google Scholar
Stanovich, K. E. (1999) Who is rational? Studies of individual differences in reasoning. Erlbaum.Google Scholar
Stanovich, K. E. (2004) The robot’s rebellion: finding meaning in the age of Darwin. University of Chicago Press.Google Scholar
Stanovich, K. E. (2021) The bias that divides us: The science and politics of myside thinking. MIT Press.Google Scholar
Stanovich, K. E. & Toplak, M. E. (2019) The need for intellectual diversity in psychological science: our own studies of actively open-minded thinking as a case study. Cognition, 187, 156166.Google Scholar
Stanovich, K. E. & West, R. F. (1997) Reasoning independently of prior belief and individual differences in actively open-minded thinking. Journal of Educational Psychology, 89, 342357.Google Scholar
Stanovich, K. E. & West, R. F. (1998a) Individual differences in rational thought. Journal of Experimental Psychology: General, 127, 161188.CrossRefGoogle Scholar
Stanovich, K. E. & West, R. F. (1998b) Who uses base rates and P(D/~H)? An analysis of individual differences. Memory & Cognition, 26, 161179.Google Scholar
Stanovich, K. E. & West, R. F. (2000) Individual differences in reasoning: implications for the rationality debate? Behavioral and Brain Sciences, 23, 645726.Google Scholar
Stanovich, K. E. & West, R. F. (2007) Natural myside bias is independent of cognitive ability. Thinking & Reasoning, 13, 225247.Google Scholar
Stanovich, K. E. & West, R. F. (2008) On the failure of intelligence to predict myside bias and one-sided bias. Thinking & Reasoning, 14, 129167.Google Scholar
Stanovich, K. E., West, R. F., & Toplak, M. E. (2016) The rationality quotient: toward a test of rational thinking. MIT Press.Google Scholar
Stenhouse, N., Myers, T. A., Vraga, E. K., Kotcher, J. E., Beall, L., & Maibach, E. W. (2018) The potential role of actively open-minded thinking in preventing motivated reasoning about controversial science. Journal of Environmental Psychology, 57, 1724.Google Scholar
Taber, C. S. & Lodge, M. (2006) Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50, 755769.Google Scholar
Tappin, B. M., Pennycook, G., & Rand, D. G. (2020) Thinking clearly about causal inferences of politically motivated reasoning. Current Opinion in Behavioral Sciences, 34, 8187.Google Scholar
Tetlock, P. E. (1986) A value pluralism model of ideological reasoning. Journal of Personality and Social Psychology, 50, 819827.Google Scholar
Tetlock, P. E. (2002) Social functionalist frameworks for judgment and choice: intuitive politicians, theologians, and prosecutors. Psychological Review, 109, 451471.Google Scholar
Toner, K., Leary, M. R., Asher, M. W., & Jongman-Sereno, K. P. (2013) Feeling superior is a bipartisan issue: extremity (not direction) of political views predicts perceived belief superiority. Psychological Science, 24, 24542462.Google Scholar
Toplak, M. E., Liu, E., Macpherson, R., Toneatto, T., & Stanovich, K. E. (2007) The reasoning skills and thinking dispositions of problem gamblers: a dual-process taxonomy. Journal of Behavioral Decision Making, 20, 103124.Google Scholar
Toplak, M. E. & Stanovich, K. E. (2002) The domain specificity and generality of disjunctive reasoning: searching for a generalizable critical thinking skill. Journal of Educational Psychology, 94, 197209.CrossRefGoogle Scholar
Toplak, M. E. & Stanovich, K. E. (2003) Associations between myside bias on an informal reasoning task and amount of post-secondary education. Applied Cognitive Psychology, 17, 851860.Google Scholar
Toplak, M. E., West, R. F., & Stanovich, K. E. (2011) The Cognitive Reflection Test as a predictor of performance on heuristics and biases tasks. Memory & Cognition, 39, 12751289.Google Scholar
Toplak, M. E., West, R. F., & Stanovich, K. E. (2014a) Assessing miserly processing: an expansion of the Cognitive Reflection Test. Thinking & Reasoning, 20, 147168.Google Scholar
Toplak, M. E., West, R. F., & Stanovich, K. E. (2014b) Rational thinking and cognitive sophistication: development, cognitive abilities, and thinking dispositions. Developmental Psychology, 50, 10371048.Google Scholar
Tversky, A. & Kahneman, D. (1974) Judgment under uncertainty: heuristics and biases. Science, 185, 11241131.Google Scholar
Twito, L. & Knafo-Noam, A. (2020) Beyond culture and the family: evidence from twin studies on the genetic and environmental contribution to values. Neuroscience & Biobehavioral Reviews, 112, 135143.CrossRefGoogle ScholarPubMed
Van Bavel, J. J. & Pereira, A. (2018) The partisan brain: an identity-based model of political belief. Trends in Cognitive Sciences, 22(3), 213224.Google Scholar
Van Boven, L., Ramos, J., Montal-Rosenberg, R., Kogut, T., Sherman, D. K., & Slovic, P. (2019) It depends: partisan evaluation of conditional probability importance. Cognition, 188, 5163.Google Scholar
Viator, R. E., Harp, N. L., Rinaldo, S. B., & Marquardt, B. B. (2020) The mediating effect of reflective-analytic cognitive style on rational thought. Thinking & Reasoning, 26, 133.Google Scholar
Weaver, E. A. & Stewart, T. R. (2012) Dimensions of judgment: factor analysis of individual differences. Journal of Behavioral Decision Making, 25, 402413.CrossRefGoogle Scholar
Weller, J., Ceschi, A., Hirsch, L., Sartori, R., & Costantini, A. (2018) Accounting for individual differences in decision-making competence: personality and gender differences. Frontiers in Psychology, 9, 22582258.Google Scholar
Westen, D., Blagov, P., Kilts, C., & Hamann, S. (2006) Neural bases of motivated reasoning: an fMRI study of emotional constraints on partisan political judgment in the 2004 U.S. Presidential Election. Journal of Cognitive Neuroscience, 18, 19471958.Google Scholar
Westwood, S. J., Iyengar, S., Walgrave, S., Leonisio, R., Miller, L., & Strijbis, O. (2018) The tie that divides: cross-national evidence of the primacy of partyism. European Journal of Political Research, 57, 333354.Google Scholar
Wynn, K. (2016) Origins of value conflict: babies do not agree to disagree. Trends in Cognitive Sciences, 20(1), 35.CrossRefGoogle Scholar
Yudkin, D., Hawkins, S., & Dixon, T. (2019) The perception gap: how false impressions are pulling Americans apart. More in Common. https://psyarxiv.com/r3h5q/Google Scholar

References

Adomavicius, G., Bockstedt, J., & Curley, S. P. (2015) Bundling effects on variety seeking for digital information goods. Journal of Management Information Systems, 31 (4), 182212.Google Scholar
Bartlema, A., Lee, M. D., Wetzels, R., & Vanpaemel, W. (2014) A Bayesian hierarchical mixture approach to individual differences: case studies in selective attention and representation in category learning. Journal of Mathematical Psychology, 59, 132150.Google Scholar
Batchelder, W. H. & Anders, R. (2012) Cultural consensus theory: comparing different concepts of cultural truth. Journal of Mathematical Psychology, 56(5), 316332.Google Scholar
Behrend, T. S., Sharek, D. J., Meade, A. W., & Wiebe, E. N. (2011) The viability of crowdsourcing for survey research. Behavior Research Methods, 43(3), 800813.CrossRefGoogle ScholarPubMed
Böckenholt, U. (1992) Thurstonian representation for partial ranking data. British Journal of Mathematical and Statistical Psychology, 45(1), 3149.Google Scholar
Böckenholt, U. (1993) Applications of Thurstonian models to ranking data. In Probability Models and Statistical Analyses for Ranking Data (pp. 157172). Springer.Google Scholar
Böckenholt, U. (2006) Thurstonian-based analyses: past, present, and future utilities. Psychometrika, 71(4), 615629.CrossRefGoogle ScholarPubMed
Brady, H. E. (1990) Dimensional analysis of ranking data. American Journal of Political Science, 34(4), 10171048.Google Scholar
Brooks, S. P. & Gelman, A. (1997) General methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics, 7(4), 434455.Google Scholar
Carey, S. (2004) Bootstrapping & the origin of concepts. Daedalus, 133(1), 5968.Google Scholar
Coaley, K. (2014) An introduction to psychological assessment and psychometrics. Sage.Google Scholar
Cronbach, L. J. (1957) The two disciplines of scientific psychology. American Psychologist, 12(11), 671684.Google Scholar
Duncan, O. D. (1984) Notes on social measurement: historical and critical. Russell Sage Foundation.Google Scholar
Farrell, S. & Lewandowsky, S. (2018) Computational modeling of cognition and behavior. Cambridge University Press.Google Scholar
Florig, H. K., Morgan, M., Morgan, K. M., et al. (2001) A deliberative method for ranking risks (i): overview and test bed development. Risk Analysis, 21(5), 913913.Google Scholar
Geiger, D., Seedorf, S., Schulze, T., Nickerson, R. C., & Schader, M. (2011) Managing the crowd: towards a taxonomy of crowdsourcing Processes. In AMCIS Proceedings, 430.Google Scholar
Giles, O., Richards, R., & Markkula, G. (2018) Bayesian analysis of subjective ranking data using Thurstonian models: tutorial, novel methods, and an open-source library. PsyArXiv, https://doi.org/10.31234/osf.io/t7szv.Google Scholar
Healey, M. K. & Kahana, M. J. (2014) Is memory search governed by universal principles or idiosyncratic strategies? Journal of Experimental Psychology: General, 143(2), 575596.Google Scholar
Hemmer, P., Steyvers, M., & Miller, B. (2010) The wisdom of crowds with informative priors. In Ohlsson, S., & Catrambone, R. (Eds.). Proceedings of the 32nd annual conference of the Cognitive Science Society, (pp. 11301135). Cognitive Science Society.Google Scholar
Hult, G. T. M., Neese, W. T., & Bashaw, R. E. (1997) Faculty perceptions of marketing journals. Journal of Marketing Education, 19(1), 3752.Google Scholar
Johnson, T. R. & Kuhn, K. M. (2013) Bayesian Thurstonian models for ranking data using JAGS. Behavior Research Methods, 45(3), 857872.Google Scholar
Kass, R. E. & Raftery, A. E. (1995) Bayes factors. Journal of the American Statistical Association, 90(430), 377395.Google Scholar
Katsikatsou, M. & Yang-Wallentin, F. (2011) On the dentification of the unrestricted Thurstonian model for ranking data. In Working Paper, Department of Statistics (p. 32). Uppsala University.Google Scholar
Kemp, C. & Tenenbaum, J. B. (2008) The discovery of structural form. Proceedings of the National Academy of Sciences, 105(31), 1068710692.Google Scholar
Krabbe, P. F. (2008) Thurstone scaling as a measurement method to quantify subjective health outcomes. Medical Are, 46(4), 357–365.Google Scholar
Lee, M. D. (2011) How cognitive modeling can benefit from hierarchical Bayesian models. Journal of Mathematical Psychology, 55(1), 17.Google Scholar
Lee, M. D. (2006) A hierarchical Bayesian model of human decision making on an optimal stopping problem. Cognitive Science, 30(3), 555580.Google Scholar
Lee, M. D., Bock, J. R., Cushman, I., & Shankle, W. R. (2020) An application of multinomial processing tree models and Bayesian methods to understanding memory impairment. Journal of Mathematical Psychology, 95, 102328.Google Scholar
Lee, M. D., Liu, E. C., & Steyvers, M. (2015) The roles of knowledge and memory in generating top-10 lists. In Noelle, D. C., & Dale, R. (Eds.). Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 12671272). Cognitive Science Society.Google Scholar
Lee, M. D., Steyvers, M., de Young, M., & Miller, B. J. (2012) Inferring expertise in knowledge and prediction ranking tasks. Topics in Cognitive Science, 4(1), 151163.Google Scholar
Lee, M. D., Steyvers, M., & Miller, B. J. (2014) A cognitive model for aggregating people’s rankings. PLoS ONE, 9(5), 19.Google Scholar
Lee, M. D. & Vanpaemel, W. (2008). Exemplars, prototypes, similarities and rules in category representation: an example of hierarchical Bayesian analysis. Cognitive Science, 32(8), 14031424.Google Scholar
Lichtenstein, S., Fischoff, B., & Phillips, L. D. (1982) Calibration of probabilities: the state of the art to 1980. In Kahneman, D., Slovic, P., & Tversky, A. (Eds.). Judgment Under Uncertainty: Heuristics and Biases (pp. 306334). Cambridge University Press.CrossRefGoogle Scholar
Maydeu-Olivares, A. (1999) Thurstonian modeling of ranking data via mean and covariance structure analysis. Psychometrika, 64(3), 325340.Google Scholar
Miller, G. A. (1956) The magical number seven, plus or minus two. Psychological Review, 63(2), 8197.Google Scholar
Milosavljevic, M., Navalpakkam, V., Koch, C., & Rangel, A. (2012) Relative visual saliency differences induce sizable bias in consumer choice. Journal of Consumer Psychology, 22(1), 6774.Google Scholar
Morgan, K. M., DeKay, M. L., Fischbeck, P. S., Morgan, M. G., Fischhoff, B., & Florig, H. K. (2001) A deliberative method for ranking risks (ii): evaluation of validity and agreement among risk managers. Risk Analysis, 21(5), 923–923.Google Scholar
Oakes, M. E. & Slotterback, C. S. (2002) The good, the bad, and the ugly: characteristics used by young, middle-aged, and older men and women, dieters and non-dieters to judge healthfulness of foods. Appetite, 38(2), 9197.Google Scholar
Orne, M. T. (1962) On the social psychology of the psychological experiment: with particular reference to demand characteristics and their implications. American Psychologist, 17(11), 776783.Google Scholar
Pearson, R. G. & Byars, G. E. (1956) The development and validation of a checklist for measuring subjective fatigue. Technical report, School of Aviation Medicine, Randolph AFB TX.Google Scholar
Pew, R. W. (1969) The speed-accuracy operating characteristic. Acta Psychologica, 30, 1626.Google Scholar
Piaget, J. (2003). Part I: cognitive development in children–Piaget development and learning. Journal of Research in Science Teaching, 40(1), 8–18.Google Scholar
Plummer, M. (2003) JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling. In K. Hornik, F. Leisch, & A. Zeileis (Eds.). Proceedings of the 3rdInternational Workshop on Distributed Statistical Computing (DSC 2003).Google Scholar
Romney, A. K., Batchelder, W. H., & Weller, S. C. (1987) Recent applications of cultural consensus theory. American Behavioral Scientist, 31(2), 163177.Google Scholar
Selker, R., Lee, M. D., & Iyer, R. (2017) Thurstonian cognitive models for aggregating top-n lists. Decision, 4(2), 87101.Google Scholar
Shafir, E. (1993) Choosing versus rejecting: why some options are both better and worse than others. Memory & Cognition, 21(4), 546556.Google Scholar
Shiffrin, R. M., Lee, M. D., Kim, W.-J., & Wagenmakers, E.-J. (2008) A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods. Cognitive Science, 32(8), 12481284.Google Scholar
Siena College Research Institute (2018) US presidents study historical rankings. https://scri.siena.edu/us-presidents-study-historical-rankings/Google Scholar
Surowiecki, J. (2004) The wisdom of crowds. Random House.Google Scholar
Taylor, J. (2006) The rivalry: Bill Russell, Wilt Chamberlain, and the golden age of basketball. Ballantine Books.Google Scholar
Thurstone, L. L. (1927a) A law of comparative judgement. Psychological Review, 34(4), 273286.Google Scholar
Thurstone, L. L. (1927b) The method of paired comparisons for social values. The Journal of Abnormal and Social Psychology, 21(4), 384400.Google Scholar
Van Vaerenbergh, Y., & Thomas, T. D. (2013) Response styles in survey research: a literature review of antecedents, consequences, and remedies. International Journal of Public Opinion Research, 25(2), 195217.Google Scholar
Villarreal, M., Velázquez, C., Baroja, J. L., Segura, A., Bouzas, A., & Lee, M. D. (2019) Bayesian methods applied to the generalized matching law. Journal of the Experimental Analysis of Behavior, 111(2), 252273.Google Scholar
Weber, S. J. & Cook, T. D. (1972) Subject effects in laboratory research: an examination of subject roles, demand characteristics, and valid inference. Psychological Bulletin, 77(4), 273295.Google Scholar
Wetzels, R., Grasman, R. P. P. P., & Wagenmakers, E. (2010) An encompassing prior generalization of the Savage-Dickey density ratio test. Computational Statistics and Data Analysis, 54(9), 20942102.Google Scholar
Wine, B., Gilroy, S., & Hantula, D. A. (2012) Temporal (in) stability of employee preferences for rewards. Journal of Organizational Behavior Management, 32(1), 5864.Google Scholar
Yao, G. & Böckenholt, U. (1999) Bayesian estimation of Thurstonian ranking models based on the Gibbs sampler. British Journal of Mathematical and Statistical Psychology, 52(1), 7992.Google Scholar
Zhang, H. & Maloney, L. T. (2012) Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action and cognition. Frontiers in Neuroscience, 6(1), 114.Google Scholar
Zizzo, D. J. (2010) Experimenter demand effects in economic experiments. Experimental Economics, 13(1), 7598.Google Scholar

References

American Anthropological Association. (1947) Statement on human rights. American Anthropologist, 49(4), 540541.Google Scholar
Anthony, D. (2019) The world conference on human rights: still a guiding light a quarter of a century later. Australian Journal of Human Rights, 23(13), 411427.Google Scholar
Atran, S. (2002) In gods we trust. Oxford University Press.Google Scholar
Baron-Cohen, S. (1997) Mindblindness: an essay on autism and theory of mind. MIT Press.Google Scholar
Barrett, H. C. (2005) Enzymatic computation and cognitive modularity. Mind and Language, 20(3), 259287.Google Scholar
Barrett, H. C. (2020) Towards a cognitive science of the human: cross-cultural approaches and their urgency. Trends in Cognitive Science, 24(8), 620638.CrossRefGoogle ScholarPubMed
Barrett, H. C., & Kurzban, R. (2006) Modularity in cognition: framing the debate. Psychological Review, 113(3), 628647.Google Scholar
Bendaña, J. & Mandelbaum, E. (2021) The fragmentation of belief. In Kindermann, D., Borgoni, C., & Onofri, A. (Eds.). The fragmentation of mind. Oxford University Press.Google Scholar
Bettinger-Lopez, C. (2018) The long arc of human rights: a case for optimism. Foreign Affairs, 97 3, 186–190 (April 17, 2018). May/June 2018, University of Miami Legal Studies Research Paper No. 18-18, Available at SSRN: https://ssrn.com/abstract=3164566Google Scholar
Blackburn, S. (2005) The Oxford dictionary of philosophy. Oxford University Press.Google Scholar
Buskell, A. (2017) What are cultural attractors? Biology and Philosophy, 32(3), 118.Google Scholar
Carchidi, V. J. (2020) The nature of morals: how universal moral grammar provides the conceptual basis for the Universal Declaration of Human Rights. Human Rights Review, 21(1), 6592.Google Scholar
Clarke, K. (2009) Fictions of justice: the international criminal court and the challenge of legal pluralism in Sub-Saharan Africa. Cambridge University Press.Google Scholar
Connors, M. H. & Halligan, P.W. (2015) A cognitive account of belief: a tentative road map. Frontiers in Psychology, 5(1588), 114.Google Scholar
Cosmides, L. & Tooby, J. (1992) Cognitive adaptations for social exchange. In Barkow, J., Cosmides, L., & Tooby, J. (Eds.). The adapted mind: evolutionary psychology and the generation of culture (pp. 19136). Oxford University Press.Google Scholar
Council on Foreign Relations. (2009) U.S. opinion on human rights. www.cfr.org/backgrounder/us-opinion-human-rightsGoogle Scholar
Council on Foreign Relations. (2011) Public opinion on global issues. www.cfr.org/thinktank/iigg/pop/Google Scholar
Council on Foreign Relations (2012) The global human rights regime. www.cfr.org/report/global-human-rights-regimeGoogle Scholar
Council on Foreign Relations (2021) Annual report from the council on foreign relations. https://www.cfr.org/annual-report-2021Google Scholar
D’Andrade, R. (1995) The development of cognitive anthropology. Cambridge University Press.Google Scholar
Delaet, D. L. (2015) The global struggle for human rights: universal principles in world politics. Cengage Learning.Google Scholar
Dembour, M. B. (2010) What are human rights? Four schools of thought. Human Rights Quarterly, 32(1), 120.Google Scholar
Doyal, L. (2001) The moral foundations of the clinical duties of care: Needs, duties and human rights. Bioethics, 15(5–6), 520535.Google Scholar
Dwyer, S. (2006) How good is the linguistic analogy? In Carruthers, P., Laurence, S., & Titch, S. (Eds.). The innate mind: culture and cognition (pp. 237256). Oxford University Press.Google Scholar
Fariss, C. J. (2019) Yes, human rights practices are improving over time. American Political Science Review, 113(3), 868881.Google Scholar
Friedman, J. (2017) Inquiry and belief. Noûs, 53(2), 296315.Google Scholar
Geertz, C. (1985) The uses of diversity. In Borofsky, R. (Ed.), Assessing Cultural Anthropology (pp. 454465). New York: McGraw-Hill.Google Scholar
Gragl, P. & Fitzmaurice, M. (2019) The legal character of Article 18 of the Vienna Convention on the law of treaties. International and Comparative Law Quarterly, 68(3), 699717.Google Scholar
Gready, P. & Robins, S. (2020) Transitional justice and theories of change: towards evaluation as understanding. International Journal of Transitional Justice, 14(2), 280299.Google Scholar
Gu, X., Lohrenz, T., Salas, R., et al. (2015) Belief about nicotine selectively modulates value and reward prediction error signals in smokers. PNAS, 112(8), 25392544.Google Scholar
Holbraad, M. (2012) Truth in motion: the recursive anthropology of Cuban divination. University of Chicago Press.Google Scholar
Holbraad, M. & Pedersen, M. A. (2017) The ontological turn: an anthropological exposition. Cambridge University Press.Google Scholar
Hubálek, M. (2021) A brief (hi)story of just-so stories in evolutionary science. Philosophy of Social Sciences, 51(5), 447468.Google Scholar
Hyafil, A. & Baumard, N. (in press) Evoked and transmitted culture models: Using Bayesian methods to infer the evolution of cultural traits in history.Google Scholar
Kahneman, D. (2011) Thinking, fast and slow. Farrar, Straus and Giroux.Google Scholar
Kalyuga, S. (2006) Assessment of learners’ organized knowledge structures in adaptive learning environments. Applied Cognitive Psychology, 20(3), 333342.Google Scholar
Kentridge, R. W. & Heywood, C. A. (2000) Metacognition and awareness. Consciousness and Cognition, 9(2), 308312.Google Scholar
Klosko, G. (1993) Rawls’s “political” philosophy and American democracy. American Political Science Review, 87(2), 348359.Google Scholar
Koinova, M. & Karabegović, D. (2017) Diasporas and transitional justice: transitional activism from local to global levels of engagement. Global Networks, 17(2), 212233.Google Scholar
Leicester, J. (2008) The nature and purpose of belief. Journal of Mind and Behavior, 29(3), 217237.Google Scholar
Lewis, R. (2018) What actually is a belief? And why is it so hard to change? Psychology Today (October 7, 2018). www.psychologytoday.com/us/blog/finding-purpose/201810/what-actually-is-belief-and-why-is-it-so-hard-changeGoogle Scholar
López, J. J. (2019) Human rights as political imaginary. Palgrave Macmillan.Google Scholar
Malinowski, B. (1961) Argonauts of the Western Pacific. Waveland Press (Original work published in 1922).Google Scholar
Matthias, R. (2015) Handbook of research methods and applications in environmental studies. Edward Elgar Publishing.Google Scholar
McFarland, S. (2011) The slow creation of humanity. Political Psychology, 32(1), 120.Google Scholar
McFarland, S. (2015) Culture, individual differences, and support for human rights: A general review. Peace and Conflict, 21(1), 1027.Google Scholar
McFarland, S., Hackett, J., Hamer, K. et al. (2019) Global human identification and citizenship: a review of psychological studies. Political Psychology, 40(1), 141171.Google Scholar
McKay, R. T. & Dennett, D. C. (2009) The evolution of misbelief. Behavioral and Brain Sciences, 32(6), 493561.Google Scholar
Mercier, H. (2006) Some ideas to study the evolution of mathematics. In Gontier, N., Van Bendegem, J. P., & Aerts, D. (Eds.). Evolutionary Epistemology, Language and Culture (pp. 351377). Springer.Google Scholar
Mikhail, J. (2007) Universal moral grammar: theory, evidence and the future. TRENDS in Cognitive Science, 11(4), 143152.Google Scholar
Mikhail, J. (2011) Elements of moral cognition. Cambridge University Press.Google Scholar
Mikhail, J. (2012) Moral grammar and human rights: some reflections on cognitive science and enlightenment rationalism. In Goodman, R., Jinks, D., & Woods, A. K. (Eds.). Understanding social action, promoting human rights (pp. 160202). Oxford University Press.Google Scholar
Moyn, S. (2014) The Universal Declaration of Human Rights of 1948 in the history of cosmopolitanism. Critical Inquiry, 40(4), 365384.Google Scholar
Moyn, S. (2018) Not enough: human rights in an unequal world. Harvard University Press.Google Scholar
Nadin, P. (2016) UN Security Council reform. Routledge University Press.Google Scholar
Needham, R. (1972) Belief, language, and experience. Blackwell Publishing.Google Scholar
Needham, R. (1975) Polythetic classification: convergence and consequences. Man, 10(3), 349369.Google Scholar
Newman, M. (2019) Transitional justice. Polity Press.Google Scholar
Oyowe, A. (2014) An African conception of human rights? Comments on the challenges of relativism. Human Rights Review, 15(3), 329347.Google Scholar
Petersen, M. B. (2012) Is the political animal politically ignorant? Applying evolutionary psychology to the study of political attitudes. Evolutionary Psychology, 10(5), 802817.Google Scholar
Petersen, M. B. (2015) Evolutionary political psychology: on the origin and structure of heuristics and biases in politics. Advances in Political Psychology, 36(1), 4578.Google Scholar
Porot, N. & Mandelbaum, E. (2021) The science of belief: a progress report WIREs Cognitive Science 12(2), 1–17.Google Scholar
Prati, F. & Loughnan, S. (2017) Imagined intergroup contact promotes support for human rights through increased humanization. European Journal of Social Psychology, 48(1), 5161.Google Scholar
Quilty-Dunn, J. (2020) Rationalization is irrational and self-serving, but useful. Behavioral and Brain Sciences, 43, e42. doi: 10.1017/S0140525X19002218.Google Scholar
Rawls, J. (1985) Justice as fairness: political not metaphysical. Philosophy & Public Affairs, 14(3), 223251.Google Scholar
Rawls, J. (1987) The idea of an overlapping consensus. Oxford Journal of Legal Studies, 7(1), 125.Google Scholar
Robbins, J. (2007) Continuity thinking and the problem of Christian culture: belief, time, and the anthropology of Christianity. Current Anthropology, 48(1), 517.Google Scholar
Robertson, G. (2012) Crimes against humanity: the struggle for global justice. The New Press.Google Scholar
Schwitzgebel, E. (2006) Belief. Stanford Encyclopedia of Philosophy. Zalta, N. (Ed.). (Fall 2019 Edition). https://plato.stanford.edu/entries/belief/#AcaGoogle Scholar
Sen, A. (1997) Human Rights and Asian values. Carnegie Council on Ethics and International Affairs.Google Scholar
Shue, H. (2020) Basic rights: subsistence, affluence, and U.S. foreign policy. Princeton University Press.Google Scholar
Sibeud, E. (2012) A useless colonial science? Practicing anthropology in the French Colonial Empire, circa 1880–1960. Current Anthropology, 53(S5), S83S94.Google Scholar
Sikkink, K. (2011) The justice cascade: how human rights prosecutions are changing world politics. W.W. Norton.Google Scholar
Sikkink, K. & Kim, H. J. (2013) The justice cascade: the origins and effectiveness of prosecutions of rights violations. Annual Review of Law and Social Science, 9, 269285.Google Scholar
Soysal, N. (1994) Limits of citizenship: migrants and postnational membership in Europe. University of Chicago Press.Google Scholar
Sperber, D. (1996) Explaining culture: a naturalistic approach. Blackwell.Google Scholar
Sperber, D. (2009) Culturally transmitted misbeliefs. Behavioral and Brain Sciences, 32(6), 534535.Google Scholar
Stolwijk, S. & Vis, B. (2020) Politicians, the representativeness heuristic and decision-making biases. Political Behavior, 43(1), 14111432.Google Scholar
Streeter, J. (2020) Should we worry about belief? Anthropological Theory, 20(2), 133156.Google Scholar
Stremlau, N. (2019) Developing bottom-up indicators for human rights. The International Journal of Human Rights, 23(8), 13781394.Google Scholar
Téson, F. (1992) International human rights and cultural relativism. In Claude, P. & Weston, B. H. (Eds.). Human rights in the world community. University of Pennsylvania Press.Google Scholar
Thagard, P. (2000) Coherence in thought and action. MIT Press.Google Scholar
Tooby, J. & Cosmides, L. (1992) Psychological foundations of culture. In Barkow, J., Cosmides, L., & Tooby, J. (Eds.). The adapted mind: evolutionary psychology and the generation of culture (pp. 19136). Oxford University Press.Google Scholar
Torney-Putra, J. & Barber, C. (2011) Fostering young people’s support for participatory human rights through their developmental niches. American Journal of Orthopsychiatry, 81(4), 473481.Google Scholar
United Nations. (2000) Principles Relating to the Status of National Institutions (The Paris Principles). www.un.org/ruleoflaw/files/PRINCI~5.PDFGoogle Scholar
Van Leeuwen, N. (2017) Two paradigms for religious representation: the physicist and the playground. Cognition, 164(July), 206211.Google Scholar
Vivieros de Castro, E. (2014) Cannibal metaphysics, Skafish, P. (Trans.). Univocal.Google Scholar
Von Hippel, W. & Trivers, R. (2011) The evolution and psychology of self-deception. Behavioral and Brain Sciences, 34(1), 156.Google Scholar
Willard, A. K. & Norenzayan, A. (2013) Cognitive biases explain religious belief, paranormal belief, and belief in life’s purpose. Cognition 129(2), 379391.Google Scholar
Wittgenstein, L. (2009) Philosophical Investigations, 4th Ed. (Hacker, P. M., & Schulte, J., Eds.) Wiley-Blackwell.Google Scholar

References

Aarts, H. & Dijksterhuis, A. (2000). Habits as knowledge structures: automaticity in goal-directed behavior. Journal of Personality and Social Psychology, 78(1), 5363. https://doi.org/10.1037/0022-3514.78.1.53Google Scholar
Abdel Sater, R., Perona, M., Huillery, E., & Chevallier, C. (2020). Behavioural insights to reduce air pollution caused by wood burning. Evidence from a Randomized Controlled Trial in France. https://doi.org/10.17605/OSF.IO/5BR8YGoogle Scholar
Ajzen, I. (2005). Laws of human behavior: symmetry, compatibility, and attitude-behavior correspondence. In Multivariate Research Strategies, (pp. 3–19). Shaker Verlag.Google Scholar
Alcock, I., White, M. P., Taylor, T. et al. (2017). “Green” on the ground but not in the air: pro-environmental attitudes are related to household behaviours but not discretionary air travel. Global Environmental Change, 42, 136147. https://doi.org/10.1016/j.gloenvcha.2016.11.005Google Scholar
Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9–10), 10821095. https://doi.org/10.1016/j.jpubeco.2011.03.003CrossRefGoogle Scholar
Armitage, C. J. & Christian, J. (2003). From attitudes to behaviour: basic and applied research on the theory of planned behaviour. Current Psychology, 22(3), 187195.Google Scholar
Attari, S. Z., DeKay, M. L., Davidson, C. I., & Bruin, W. B. de. (2010). Public perceptions of energy consumption and savings. Proceedings of the National Academy of Sciences, 107(37), 1605416059. https://doi.org/10.1073/pnas.1001509107Google Scholar
Babutsidze, Z. & Chai, A. (2018). Look at me saving the planet! The imitation of visible green behavior and its impact on the climate value–action gap. Ecological Economics, 146, 290303.Google Scholar
Baiocchi, G., Minx, J., & Hubacek, K. (2010). The impact of social factors and consumer behavior on carbon dioxide emissions in the United Kingdom: a regression based on input–output and geodemographic consumer segmentation data. Journal of Industrial Ecology, 14(1), 5072.Google Scholar
Bamberg, S. (2003). How does environmental concern influence specific environmentally related behaviors? A new answer to an old question. Journal of Environmental Psychology, 23(1), 2132.Google Scholar
Bamberg, S. & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: a new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 1425. https://doi.org/10.1016/j.jenvp.2006.12.002Google Scholar
Barclay, P. (2012). Harnessing the power of reputation: strengths and limits for promoting cooperative behaviors. Evolutionary Psychology, 10(5), 868?883. https://doi.org/10.1177/147470491201000509Google Scholar
Barclay, P. & Barker, J. L. (2020). Greener than thou: people who protect the environment are more cooperative, compete to be environmental, and benefit from reputation. Journal of Environmental Psychology, 72, 114. https://doi.org/10.1016/j.jenvp.2020.101441Google Scholar
Barr, S. (2004). Are we all environmentalists now? Rhetoric and reality in environmental action. Geoforum, 35(2), 231249.Google Scholar
Barr, S. (2006). Environmental action in the home: investigating the “value–action” gap. Geography, 91(1), 4354.Google Scholar
Baumard, N. (2016). The origins of fairness: how evolution explains our moral nature. Oxford University Press.Google Scholar
Bellet, C. (2017). the paradox of the Joneses superstar houses and mortgage frenzy in suburban America. CEP Discussion Paper No. 1462.Google Scholar
Bertoldo, R., & Castro, P. (2019). From legal to normative: a combined social representations and sociocognitive approach to diagnosing cultural change triggered by new environmental laws. Culture & Psychology, 25(3), 324344.Google Scholar
Blake, J. (1999). Overcoming the “value–action gap” in environmental policy: Tensions between national policy and local experience. Local Environment, 4(3), 257278.Google Scholar
Blankenberg, A.-K., & Alhusen, H. (2019). On the determinants of pro-environmental behavior: a literature review and guide for the empirical economist. Center for European, Governance, and Economic Development Research (CEGE), Number 350. http://dx.doi/10.2139/ssrn.3473702Google Scholar
Boon-Falleur, M., Grandin, A., Baumard, N., & Chevallier, C. (2022). Leveraging social cognition to promote effective climate change mitigation. Nature Climate Change, 12(4), 332338. https://doi.org/10.1038/s41558-022-01312-wGoogle Scholar
Brent, D. A., Lott, C., Taylor, M. et al. (2017). Are normative appeals moral taxes? Evidence from a field experiment on water conservation. Louisiana State Department of Economics Working Papers Series.Google Scholar
Büchs, M., Bahaj, A. S., Blunden, L. et al. (2018). Promoting low carbon behaviours through personalised information? Long-term evaluation of a carbon calculator interview. Energy Policy, 120, 284293.Google Scholar
Camilleri, A. R., Larrick, R. P., Hossain, S., & Patino-Echeverri, D. (2019). Consumers underestimate the emissions associated with food but are aided by labels. Nature Climate Change, 9(1), 5358. https://doi.org/10.1038/s41558–018-0354-zGoogle Scholar
Chai, A., Bradley, G., Lo, A., & Reser, J. (2015). What time to adapt? The role of discretionary time in sustaining the climate change value–action gap. Ecological Economics, 116, 95107.Google Scholar
Chen, M.-F. (2015). An examination of the value-belief-norm theory model in predicting pro-environmental behaviour in Taiwan. Asian Journal of Social Psychology, 18(2), 145151. https://doi.org/10.1111/ajsp.12096Google Scholar
Chin, Y. S. J., Pretto, L. D., Thuppil, V., & Ashfold, M. J. (2019). Public awareness and support for environmental protection – A focus on air pollution in peninsular Malaysia. PLoS ONE, 14(3), 121. https://doi.org/10.1371/journal.pone.0212206Google Scholar
Cohen, S. A., & Higham, J. E. (2011). Eyes wide shut? UK consumer perceptions on aviation climate impacts and travel decisions to New Zealand. Current Issues in Tourism, 14(4), 323335.Google Scholar
Conner, M., McEachan, R., Jackson, C., McMillan, B., Woolridge, M., & Lawton, R. (2013). Moderating effect of socioeconomic status on the relationship between health cognitions and behaviors. Annals of Behavioral Medicine, 46(1), 1930. https://doi.org/10.1007/s12160–013-9481-yGoogle Scholar
Courtenay-Hall, P., & Rogers, L. (2002). Gaps in mind: problems in environmental knowledge-behaviour modelling research. Environmental Education Research, 8(3), 283297.Google Scholar
Davidson, A. R., & Jaccard, J. J. (1979). Variables that moderate the attitude–behavior relation: results of a longitudinal survey. Journal of Personality and Social Psychology, 37(8), 13641376.Google Scholar
Debove, S., André, J.-B., & Baumard, N. (2015). Partner choice creates fairness in humans. Proceedings of the Royal Society B: Biological Sciences, 282(1808), 17. https://doi.org/10.1098/rspb.2015.0392Google Scholar
de Gavelle, E., Davidenko, O., Fouillet, H. et al. (2019). Self-declared attitudes and beliefs regarding protein sources are a good prediction of the degree of transition to a low-meat diet in France. Appetite, 142, 19.Google Scholar
Delgado, M. S., Harriger, J. L., & Khanna, N. (2015). The value of environmental status signaling. Ecological Economics, 111, 111. https://doi.org/10.1016/j.ecolecon.2014.12.021Google Scholar
Diekmann, A. & Preisendörfer, P. (2003). Green and greenback: the behavioral effects of environmental attitudes in low-cost and high-cost situations. Rationality and Society, 15(4), 441472.Google Scholar
Dietz, T., Stern, P. C., & Guagnano, G. A. (1998). Social structural and social psychological bases of environmental concern. Environment and Behavior, 30(4), 450471.Google Scholar
Douenne, T., & Fabre, A. (2019). Can we reconcile French people with the carbon tax? Disentangling beliefs from preferences. Working Papers 2019.10, FAERE – French Association of Environmental and Resource Economists.Google Scholar
Eom, K., Kim, H. S., & Sherman, D. K. (2018). Social class, control, and action: socioeconomic status differences in antecedents of support for pro-environmental action. Journal of Experimental Social Psychology, 77, 6075. https://doi.org/10.1016/j.jesp.2018.03.009Google Scholar
Farjam, M., Nikolaychuk, O., & Bravo, G. (2019). Experimental evidence of an environmental attitude–behavior gap in high-cost situations. Ecological Economics, 166, 16.Google Scholar
Fishbein, M. & Ajzen, I. (1977). Belief, attitude, intention, and behavior: an introduction to theory and research. Philosophy and Rhetoric, 10(2), 130132.Google Scholar
Gallup. (2008). Awareness, opinions about global warming vary worldwide. https://news.gallup.com/poll/117772/Awareness-Opinions-Global-Warming-Vary-Worldwide.aspxGoogle Scholar
Gelman, A. (2015). What’s the most important thing in statistics that’s not in the textbooks? Statistical Modeling, Causal Inference, and Social Science. https://statmodeling.stat.columbia.edu/2015/04/28/whats-important-thing-statistics-thats-not-textbooks/Google Scholar
Gifford, R. (2011). The dragons of inaction: psychological barriers that limit climate change mitigation and adaptation. American Psychologist, 66(4), 290.Google Scholar
Gifford, R., & Nilsson, A. (2014). Personal and social factors that influence pro-environmental concern and behaviour: a review. International Journal of Psychology, 49(3), 141157. https://doi.org/10.1002/ijop.12034Google Scholar
Goldstein, N. J., Cialdini, R. B., & Griskevicius, V. (2008). A room with a viewpoint: using social norms to motivate environmental conservation in hotels. Journal of Consumer Research, 35(3), 472482. https://doi.org/10.1086/586910Google Scholar
Griskevicius, V., Tybur, J. M., & Van den Bergh, B. (2010). Going green to be seen: status, reputation, and conspicuous conservation. Journal of Personality and Social Psychology, 98(3), 392404. https://doi.org/10.1037/a0017346Google Scholar
Gu, D., Jiang, J., Zhang, Y., Sun, Y., Jiang, W., & Du, X. (2020). Concern for the future and saving the earth: when does ecological resource scarcity promote pro-environmental behavior? Journal of Environmental Psychology, 72, 112. https://doi.org/10.1016/j.jenvp.2020.101501Google Scholar
Haferkamp, A., Fetchenhauer, D., Belschak, F., & Enste, D. (2009). Efficiency versus fairness: the evaluation of labor market policies by economists and laypeople. Journal of Economic Psychology, 30(4), 527539. https://doi.org/10.1016/j.joep.2009.03.010Google Scholar
Hammami, M. B. A., Mohammed, E. Q., Hashem, A. M. et al. (2017). Survey on awareness and attitudes of secondary school students regarding plastic pollution: implications for environmental education and public health in Sharjah city, UAE. Environmental Science and Pollution Research, 24(25), 2062620633.Google Scholar
Hansmann, R., Baur, I., & Binder, C. R. (2020). Increasing organic food consumption: an integrating model of drivers and barriers. Journal of Cleaner Production, 275, 118.Google Scholar
Hennighausen, C., Hudders, L., Lange, B. P., & Fink, H. (2016). What If the rival drives a Porsche? Luxury car spending as a costly signal in male intrasexual competition. Evolutionary Psychology, 14(4), 113. https://doi.org/10.1177/1474704916678217Google Scholar
Hertwig, R., & Engel, C. (2016). Homo ignorans: deliberately choosing not to know. Perspectives on Psychological Science, 11(3), 359372.Google Scholar
Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and Synthesis of Research on Responsible Environmental Behavior: a Meta-Analysis. The Journal of Environmental Education, 18(2), 18. https://doi.org/10.1080/00958964.1987.9943482Google Scholar
Hope, A. L., Jones, C. R., Webb, T. L., Watson, M. T., & Kaklamanou, D. (2018). The role of compensatory beliefs in rationalizing environmentally detrimental behaviors. Environment and Behavior, 50(4), 401425.Google Scholar
Huber, R. A., Wicki, M. L., & Bernauer, T. (2020). Public support for environmental policy depends on beliefs concerning effectiveness, intrusiveness, and fairness. Environmental Politics, 29(4), 649673. https://doi.org/10.1080/09644016.2019.1629171Google Scholar
Hurth, V. (2010). Creating sustainable identities: the significance of the financially affluent self. Sustainable Development, 18(3), 123134.Google Scholar
Johnstone, M.-L. & Tan, L. P. (2015). Exploring the gap between consumers’ green rhetoric and purchasing behaviour. Journal of Business Ethics, 132(2), 311328.Google Scholar
Kennedy, E. H., Beckley, T. M., McFarlane, B. L., & Nadeau, S. (2009). Why we don’t “walk the talk”: understanding the environmental values/behaviour gap in Canada. Human Ecology Review, 16(2), 151160.Google Scholar
Kennedy, E. H., & Givens, J. E. (2019). Eco-habitus or eco-powerlessness? examining environmental concern across social class. Sociological Perspectives, 62(5), 646667. https://doi.org/10.1177/0731121419836966Google Scholar
Klöckner, C. A. (2013). A comprehensive model of the psychology of environmental behaviour – a meta-analysis. Global Environmental Change, 23(5), 10281038. https://doi.org/10.1016/j.gloenvcha.2013.05.014Google Scholar
Kollmuss, A. & Agyeman, J. (2002). Mind the gap: why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239260. https://doi.org/10.1080/13504620220145401Google Scholar
Kormos, C., Gifford, R., & Brown, E. (2014). The influence of descriptive social norm information on sustainable transportation behavior: a field experiment. Environment and Behavior, 47(5), 479501.Google Scholar
Kraus, S. J. (1995). Attitudes and the prediction of behavior: a meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21(1), 5875. https://doi.org/10.1177/0146167295211007Google Scholar
Krosnick, J. A., Holbrook, A. L., Lowe, L., & Visser, P. S. (2006). The origins and consequences of democratic citizens’ policy agendas: a study of popular concern about global warming. Climatic Change, 77(1), 743. https://doi.org/10.1007/s10584–006-9068-8Google Scholar
LaPiere, R. T. (1934). Attitudes vs. actions. Social Forces, 13(2), 230237.Google Scholar
Lea, E. & Worsley, T. (2005). Australians’ organic food beliefs, demographics and values. British Food Journal, 107(11), 855869.Google Scholar
Longhi, S. (2013). Individual pro-environmental behaviour in the household context. ISER Working Paper Series.Google Scholar
Lynn, P. (2014). Distinguishing dimensions of pro-environmental behaviour. ISER Working Paper Series.Google Scholar
Maione, M., Mocca, E., Eisfeld, K., Kazepov, Y., & Fuzzi, S. (2020). Public perception of air pollution sources across Europe. Ambio, 50(6), 11501158.Google Scholar
Maiteny, P. T. (2002). Mind in the Gap: summary of research exploring “inner” influences on pro-sustainability learning and behaviour. Environmental Education Research, 8(3), 299306.Google Scholar
McCright, A. M., Dunlap, R. E., & Xiao, C. (2013). Perceived scientific agreement and support for government action on climate change in the USA. Climatic Change, 119(2), 511518. https://doi.org/10.1007/s10584–013-0704-9Google Scholar
Milfont, T. L. (2009). The effects of social desirability on self-reported environmental attitudes and ecological behaviour. The Environmentalist, 29(3), 263269.Google Scholar
Milfont, T. L. & Duckitt, J. (2010). The environmental attitudes inventory: a valid and reliable measure to assess the structure of environmental attitudes. Journal of Environmental Psychology, 30(1), 8094. https://doi.org/10.1016/j.jenvp.2009.09.001Google Scholar
Nolan, J. M., Schultz, P. W., Cialdini, R. B., Goldstein, N. J., & Griskevicius, V. (2008). Normative social influence is underdetected. Personality and Social Psychology Bulletin, 34(7), 913923.Google Scholar
Palminteri, S. & Chevallier, C. (2018). Can we infer inter-individual differences in risk-taking from behavioral tasks? Frontiers in Psychology, 9(2307), 15. https://doi.org/10.3389/fpsyg.2018.02307Google Scholar
Pew Research Center. (2019). A look at how people around the world view climate change. Pew Research Center. www.pewresearch.org/fact-tank/2019/04/18/a-look-at-how-people-around-the-world-view-climate-change/Google Scholar
Rabinovich, A., Morton, T., & Postmes, T. (2009). Time perspective and attitude-behaviour consistency in future-oriented behaviours. The British Journal of Social Psychology, 49(Pt 1), 6989.Google Scholar
Ramakrishnan, A., Kalkuhl, M., Ahmad, S., & Creutzig, F. (2020). Keeping up with the Patels: conspicuous consumption drives the adoption of cars and appliances in India. Energy Research & Social Science, 70, 112. https://doi.org/10.1016/j.erss.2020.101742Google Scholar
Redondo, I. & Puelles, M. (2017). The connection between environmental attitude–behavior gap and other individual inconsistencies: a call for strengthening self-control. International Research in Geographical and Environmental Education, 26(2), 107120. https://doi.org/10.1080/10382046.2016.1235361Google Scholar
Schultz, P. W. (1999). Changing behavior with normative feedback interventions: a field experiment on curbside recycling. Basic and Applied Social Psychology, 21(1), 2536. https://doi.org/10.1207/s15324834basp2101_3Google Scholar
Schultz, P. W., & Oskamp, S. (1996). Effort as a moderator of the attitude-behavior relationship: general environmental concern and recycling. Social Psychology Quarterly, 59(4), 375383.Google Scholar
Shepherd, S. & Kay, A. C. (2012). On the perpetuation of ignorance: system dependence, system justification, and the motivated avoidance of sociopolitical information. Journal of Personality and Social Psychology, 102(2), 264280. https://doi.org/10.1037/a0026272Google Scholar
Sommer, S., Mattauch, L., & Pahle, M. (2020). Supporting carbon taxes: the role of fairness. Ruhr Economic Papers.Google Scholar
Stern, P. C. (2000). New environmental theories: toward a coherent theory of environmentally significant behavior. Journal of Social Issues, 56(3), 407424.Google Scholar
Tam, K.-P. & Chan, H.-W. (2017). Environmental concern has a weaker association with pro-environmental behavior in some societies than others: a cross-cultural psychology perspective. Journal of Environmental Psychology, 53, 213223.Google Scholar
Tam, K.-P. & Chan, H.-W. (2018). Generalized trust narrows the gap between environmental concern and pro-environmental behavior: multilevel evidence. Global Environmental Change, 48, 182194. https://doi.org/10.1016/j.gloenvcha.2017.12.001Google Scholar
Tarrant, M. A. & Cordell, H. K. (1997). The effect of respondent characteristics on general environmental attitude–behavior correspondence. Environment and Behavior, 29(5), 618637.Google Scholar
Tomás, M., López, L. A., & Monsalve, F. (2020). Carbon footprint, municipality size and rurality in Spain: inequality and carbon taxation. Journal of Cleaner Production, 266, 111. https://doi.org/10.1016/j.jclepro.2020.121798Google Scholar
Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. Nebraska Symposium on Motivation, 27, 195259.Google Scholar
van der Linden, S. L., Leiserowitz, A. A., Feinberg, G. D., & Maibach, E. W. (2015). The scientific consensus on climate change as a gateway belief: experimental evidence. PLoS ONE, 10(2), 18.Google Scholar
Vesely, S. & Klöckner, C. A. (2020). Social desirability in environmental psychology research: three meta-analyses. Frontiers in Psychology, 11(1395), 19. https://doi.org/10.3389/fpsyg.2020.01395Google Scholar
Wicker, A. W. (1969). Attitudes versus actions: the relationship of verbal and overt behavioral responses to attitude objects. Journal of Social Issues, 25(4), 4178.Google Scholar

References

Arkes, H. R. (1981) Impediments to accurate clinical judgment and possible ways to minimize their impact. Journal of Consulting and Clinical Psychology, 49(3), 323330.Google Scholar
Arkes, H. R. (1991) Costs and benefits of judgment errors: implications for debiasing. Psychological Bulletin, 110(3), 486498.Google Scholar
Arkes, H. R. & Blumer, C. (1985) The psychology of sunk cost. Organizational Behavior and Human Decision Processes, 35(1), 124140.Google Scholar
Arkes, H. R., Faust, D., Guilmette, T. J. & Hart, K. (1988) Eliminating the hindsight bias. Journal of Applied Psychology, 73(2), 305307.Google Scholar
Arkes, H. R., & Harkness, A. R. (1983) Estimates of contingency between two dichotomous variables. Journal of Experimental Psychology: General, 112(1), 117135.Google Scholar
Barton, M., Symborski, C., Quinn, M. M., Morewedge, C. K., Kassam, K. S., & Korris, J. H. (2015) The Use of Theory in Designing a Serious Game for the Reduction of Cognitive Biases. Paper presented at the DiGRA ‘15 – Proceedings of the 2015 DiGRA International Conference.Google Scholar
Benartzi, S. & Thaler, R. (2007) Heuristics and biases in retirement savings behavior. Journal of Economic Perspectives, 21(3), 81104.Google Scholar
Bhargava, S. & Loewenstein, G. (2015) Behavioral economics and public policy 102: beyond nudging. American Economic Review, 105(5), 396401.Google Scholar
de Bruin, W. B., Parker, A. M., & Fischhoff, B. (2007) Individual differences in adult decision-making competence. Journal of Personality and Social Psychology, 92(5), 938956.Google Scholar
Camerer, C. F. & Hogarth, R. M. (1999) The effects of financial incentives in experiments: a review and capital-labor-production framework. Journal of Risk and Uncertainty, 19(1), 742.Google Scholar
Chang, W., Chen, E., Mellers, B., & Tetlock, P. (2016) Developing expert political judgment: the impact of training and practice on judgmental accuracy in geopolitical forecasting tournaments. Judgment and Decision Making, 11(5), 509526.Google Scholar
Davies, M. F. (1992) Field dependence and hindsight bias: cognitive restructuring and the generation of reasons. Journal of Research in Personality, 26(1), 5874.Google Scholar
Downs, J. S. & Shafir, E. (1999) Why some are perceived as more confident and more insecure, more reckless and more cautious, more trusting and more suspicious, than others: enriched and impoverished options in social judgment. Psychonomic Bulletin & Review, 6(4), 598610.Google Scholar
Fischhoff, B. (1977) Perceived informativeness of facts. Journal of Experimental Psychology: Human Perception and Performance, 3(2), 349358.Google Scholar
Fischhoff, B. (1982) Debiasing. In Kahneman, D., Slovic, P., & Tversky, A. (Eds.). Judgment under uncertainty: heuristics and biases (pp. 422444). Cambridge University Press.Google Scholar
Fong, G. T., Krantz, D. H., & Nisbett, R. E. (1986) The effects of statistical training on thinking about everyday problems. Cognitive Psychology, 18(3), 253292.Google Scholar
Fong, G. T. & Nisbett, R. E. (1991) Immediate and delayed transfer of training effects in statistical reasoning. Journal of Experimental Psychology: General, 120(1), 3445.Google Scholar
Frederick, S. (2005) Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 2542.Google Scholar
Gigerenzer, G. & Hoffrage, U. (1995) How to improve Bayesian reasoning without instruction: frequency formats, Psychological Review, 102(4), 684704.Google Scholar
Gilovich, T., Griffin, D., & Kahneman, D. (Eds.) (2002) Heuristics and biases: the psychology of intuitive judgment. Cambridge University Press.Google Scholar
Hertwig, R. (2017) When to consider boosting: some rules for policy-makers. Behavioural Public Policy, 1(2), 143161.Google Scholar
Hertwig, R. & Grüne-Yanoff, T. (2017) Nudging and boosting: steering or empowering good decisions. Perspectives on Psychological Science, 12(6), 973986.Google Scholar
Hogarth, R. M. (2001). Educating intuition. The University of Chicago Press.Google Scholar
Holmes, D. S. (1968) Dimensions of projection. Psychological Bulletin, 69(4), 248268.Google Scholar
Johnson, E. J. & Goldstein, D. (2003) Medicine. Do defaults save lives? Science, 302(5649), 13381339.Google Scholar
Jones, E. E. & Harris, V. A. (1967) The attribution of attitudes. Journal of Experimental Social Psychology, 3(1), 124.Google Scholar
Kahneman, D. (2011) Thinking, fast and slow. Farrar, Straus and Giroux.Google Scholar
Kahneman, D. & Tversky, A. (1972) Subjective probability: a judgment of representativeness. Cognitive Psychology, 3(3), 430454.Google Scholar
Kahneman, D. & Tversky, A. (1979) Intuitive prediction: Biases and corrective procedures. Management Science, 12, 313327.Google Scholar
Kahneman, D. & Tversky, A. (1982) On the study of statistical intuitions. Cognition, 11(2), 123141.Google Scholar
Klayman, J. & Ha, Y. W. (1987) Confirmation, disconfirmation, and information in hypothesis testing. Psychological Review, 94(2), 211228.Google Scholar
Koriat, A., Lichtenstein, S., & Fischhoff, B. (1980) Reasons for confidence. Journal of Experimental Psychology: Human Learning & Memory, 6(2), 107118.Google Scholar
Krueger, J. & Stanke, D. (2001) The role of self-referent and other-referent knowledge in perceptions of group characteristics. Personality and Social Psychology Bulletin, 27(7), 878888.Google Scholar
Larrick, R. P. (2004) Debiasing, Blackwell handbook of judgment and decision making (pp. 316337): Blackwell Publishing Ltd.Google Scholar
Larrick, R. P., Morgan, J. N., & Nisbett, R. E. (1990) Teaching the use of cost–benefit reasoning in everyday life. Psychological Science, 1(6), 362370.Google Scholar
Larrick, R. P. & Soll, J. B. (2006) Intuitions about combining opinions: misappreciation of the averaging principle. Management Science, 52(1), 111127.Google Scholar
Lehman, D. R., Lempert, R. O., & Nisbett, R. E. (1988) The effects of graduate training on reasoning: Formal discipline and thinking about everyday-life events. American Psychologist, 43(6), 431442.Google Scholar
Lehman, D. R. & Nisbett, R. E. (1990) A longitudinal study of the effects of undergraduate training on reasoning. Developmental Psychology, 26(6), 952960.Google Scholar
Lerner, J. & Tetlock, P. (1999) Accounting for the effects of accountability. Psychological Bulletin, 125(2), 255275.Google Scholar
Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., & Cook, J. (2012) Misinformation and its correction continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106131.Google Scholar
Lichtenstein, S. & Fischhoff, B. (1980) Training for calibration. Organizational Behavior and Human Performance, 26(2), 149171.Google Scholar
Lilienfeld, S. O. (2008) Can psychology save the world? British Psychological Society Research Digest. http://bps-research-digest.blogspot.com/2007/09/can-psychology-save-world.htmlGoogle Scholar
Lilienfeld, S. O., Ammirati, R., & Landfield, K. (2009) Giving debiasing away: can psychological research on correcting cognitive errors promote human welfare? Perspectives on Psychological Science, 4(4), 390398.Google Scholar
Lord, C. G., Lepper, M. R., & Preston, E. (1984) Considering the opposite: a corrective strategy for social judgment. Journal of Personality and Social Psychology, 47(6), 12311243.Google Scholar
Milkman, K. L., Chugh, D., & Bazerman, M. H. (2009). How can decision making be improved? Perspectives on Psychological Science, 4(4), 379383.Google Scholar
Morewedge, C. K. & Kahneman, D. (2010) Associative processes in intuitive judgment. Trends in Cognitive Sciences, 14(10), 435440.Google Scholar
Morewedge, C. K., Yoon, H., Scopelliti, I., Symborski, C. W., Korris, J. H., & Kassam, K. S. (2015) Debiasing decisions: improved decision making with a single training intervention. Policy Insights from the Behavioral and Brain Sciences, 2(1), 129140.Google Scholar
Mussweiler, T., Strack, F., & Pfeiffer, T. (2000) Overcoming the inevitable anchoring effect: considering the opposite compensates for selective accessibility. Personality and Social Psychology Bulletin, 26(9), 11421150.Google Scholar
Nickerson, R. S. (1998) Confirmation bias: A ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175220.Google Scholar
Nisbett, R. E. (1993) Rules for reasoning. Psychology Press.Google Scholar
Nisbett, R. E., Fong, G. T., Lehman, D. R., & Cheng, P. W. (1987) Teaching reasoning. Science, 238(4827), 625631.Google Scholar
Nisbett, R. E., Krantz, D. H., Jepson, G., & Kunda, Z. (1983) The use of statistical heuristics in everyday inductive reasoning. Psychological Review, 90(4), 339363.Google Scholar
Northcraft, G. B. & Neale, M. A. (1987) Experts, amateurs, and real estate: an anchoring-and-adjustment perspective on property pricing decisions. Organizational Behavior and Human Decision Processes, 39(1), 8497.Google Scholar
Parker, A. M. & Fischhoff, B. (2005) Decision-making competence: external validation through an individual-differences approach. Journal of Behavioral Decision Making, 18(1), 127.Google Scholar
Payne, J. W., Bettman, J. R., & Johnson, E. J. (1993) The adaptive decision maker. Cambridge University Press.Google Scholar
Phillips, J. K., Klein, G., & Sieck, W. R. (2004) Expertise in judgment and decision making: a case for training intuitive decision skills. In Keren, G. & Wu, G. (Eds.). Handbook of judgment and decision making (pp. 297315). Wiley-Blackwell.Google Scholar
Pronin, E., Gilovich, T., & Ross, L. (2004) Objectivity in the eye of the beholder: divergent perceptions of bias in self versus others. Psychological Review, 111(3), 781799.Google Scholar
Pronin, E., Lin, D., & Ross, L. (2002) The bias blind spot: perceptions of bias in self and others. Personality and Social Psychology Bulletin, 28(3), 369381.Google Scholar
Ross, L. (1977) The intuitive psychologist and his shortcomings: distortions in the attribution process. In Berkowitz, L. (Ed.). Advances in experimental social psychology, Vol. 10 (pp. 173220). Academic Press.Google Scholar
Ross, L., Amabile, T., & Steinmetz, J. (1977) Social roles, social control, and biases in social perception processes. Journal of Personality and Social Psychology, 35(7), 485494.Google Scholar
Ross, L., Greene, D., & House, P. (1977) The “false consensus effect”: an egocentric bias in social perception and attribution processes. Journal of Experimental Social Psychology, 13(3), 279301.Google Scholar
Ross, L., Lepper, M. R., & Hubbard, M. (1975) Perseverance in self-perception and social perception: biased attributional processes in the debriefing paradigm. Journal of Personality and Social Psychology, 32(5), 880892.Google Scholar
Scopelliti, I., Min, H. L., McCormick, E., Kassam, K. S., & Morewedge, C. K. (2018) Individual differences in correspondence bias: measurement, consequences, and correction of biased interpersonal attributions. Management Science, 64(4), 18791910.Google Scholar
Scopelliti, I., Morewedge, C. K., McCormick, E., Min, H. L., Lebrecht, S., & Kassam, K. S. (2015) Bias blind spot: structure, measurement, and consequences. Management Science, 61(10), 24682486.Google Scholar
Schneider, W. & Shiffrin, R. M. (1977) Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84(1), 166.Google Scholar
Sellier, A. L., Scopelliti, I., & Morewedge, C. K. (2019) Debiasing training improves decision making in the field. Psychological Science, 30(9), 13711379.Google Scholar
Shefrin, H. & Statman, M. (1985) The disposition to sell winners too early and ride losers too long: theory and evidence. The Journal of Finance, 40(3), 777790.Google Scholar
Shiffrin, R. M. & Schneider, W. (1977) Controlled and automatic human information processing: II. perceptual learning, automatic attending, and a general theory. Psychological Review, 84(2), 127190.Google Scholar
Sloman, S. (1996) The empirical case for two systems of reasoning. Psychological Bulletin, 119(1), 322.Google Scholar
Snyder, M. L. & Frankel, A. (1976) Observer bias: a stringent test of behavior engulfing the field. Journal of Personality and Social Psychology, 34(5), 857864.Google Scholar
Snyder, M. & Swann, W. B. (1978) Hypothesis-testing processes in social interaction. Journal of Personality and Social Psychology, 36(11), 12021212.Google Scholar
Soll, J. B., Milkman, K. L., & Payne, J. W. (2016) A user’s guide to debiasing. In Keren, G. & Wu, G. (Eds.). Handbook of judgment and decision making (pp. 924951). Wiley-Blackwell.Google Scholar
Stanovich, K. E. (1999) Who is rational?: Studies of individual differences in reasoning. Lawrence Erlbaum Associates Publishers.Google Scholar
Stanovich, K. E. (2011) Rationality and the reflective mind. Oxford University Press.Google Scholar
Stanovich, K. E. & West, R. F. (1998) Individual differences in rational thought. Journal of Experimental Psychology: General, 127(2), 161188.Google Scholar
Stone, E. R. & Opel, R. B. (2000) Training to improve calibration and discrimination: the effects of performance and environmental feedback. Organizational Behavior and Human Decision Processes, 83(2), 282309.Google Scholar
Symborski, C., Barton, M., Quinn, M. M., Korris, J. H., Kassam, K. S., & Morewedge, C. K. (2017) The design and development of serious games using iterative evaluation. Games and Culture, 12(3), 252268.Google Scholar
Thaler, R. H. & Benartzi, S. (2004) Save more tomorrowTM: using behavioral economics to increase employee saving. Journal of Political Economy, 112(S1), S164S187.Google Scholar
Thaler, R. H. & Sunstein, C. R. (2008) Nudge. Yale University Press.Google Scholar
Tschirgi, J. E. (1980) Sensible reasoning: a hypothesis about hypotheses. Child Development, 51(1), 110.Google Scholar
Tversky, A. & Kahneman, D. (1973) Availability: a heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207232.Google Scholar
Tversky, A. & Kahneman, D. (1974) Judgment under uncertainty: heuristics and biases. Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 11241131.Google Scholar
Tversky, A. & Kahneman, D. (1981) The framing of decisions and the psychology of choice. Science, 211(4481), 453458.Google Scholar
Ward, W. C., & Jenkins, H. M. (1965) The display of information and the judgment of contingency. Canadian Journal of Psychology, 19(3), 231241.Google Scholar
Wason, P. C. (1960) On the failure to eliminate hypotheses in a conceptual task. Quarterly Journal of Experimental Psychology, 12(3), 129140.Google Scholar
Wason, P. C. (1968) Reasoning about a rule. The Quarterly Journal of Experimental Psychology, 20(3), 273281.Google Scholar
Weinstein, N. & Klein, W. (1995) Resistance of personal risk perceptions to debiasing interventions. Health Psychology, 14(2), 132140.Google Scholar
West, R. F., Meserve, R. J., & Stanovich, K. E. (2012) Cognitive sophistication does not attenuate the bias blind spot. Journal of Personality and Social Psychology, 103(3), 506519.Google Scholar
Wilson, T. & Brekke, N. (1994) Mental contamination and mental correction: unwanted influences on judgments and evaluations. Psychological Bulletin, 116(1), 117142.Google Scholar
Yoon, H., Scopelliti, I., & Morewedge, C. K. (2021) Decision making can be improved through observational learning. Organizational Behavior and Human Decision Processes, 162(January), 155188.Google Scholar

References

Allcott, H. & Gentzkow, M. (2017) Social media and fake news in the 2016 election. Journal of Economic Perspectives, 31(2), 211236.Google Scholar
Baron, J. (1985) Rationality and intelligence. Cambridge University Press.Google Scholar
Baron, J. (1995) Myside bias in thinking about abortion. Thinking & Reasoning, 1(3), 221235.Google Scholar
Baron, J. (1988/2008) Thinking and deciding, 4th Ed. Cambridge University Press.Google Scholar
Baron, J. (2017) Comment on Kahan and Corbin: can polarization increase with actively open-minded thinking? Research and Politics, 4(1), 14 https://doi.org/10.1177/2053168016688122.Google Scholar
Baron, J. (2019) Actively open-minded thinking in politics. Cognition, 188, 818.Google Scholar
Baron, J., Gürçay, B., & Metz, S. E. (2017) Reflection, intuition, and actively open- minded thinking. In Toplak, M., & Weller, J. (Eds.). Individual differences in judgment and decision making from a developmental context (pp. 107126). Routledge.Google Scholar
Baron, J. & High, D. (2020) People who endorse actively open-minded thinking (AOT) are sensitive to cues indicating AOT of sources. Poster. www.sjdm.org/presentations/2019-Poster-Baron-Jonathan-endorse-AOT-cues.pdfGoogle Scholar
Baron, J., Scott, S., Fincher, K., & Metz, S. E. (2015) Why does the Cognitive Reflection Test (sometimes) predict utilitarian moral judgment (and other things)? Journal of Applied Research in Memory and Cognition, 4(3), 265284.Google Scholar
Bronstein, M., Pennycook, G., Bear, A., Rand, D., & Cannon, T. (2019) Reduced analytic and actively open-minded thinking help to explain the link between belief in fake news and delusionality, dogmatism, and religious fundamentalism. https://ssrn.com/abstract=3172140Google Scholar
Cacioppo, J. T. & Petty, R. E. (1982) The need for cognition. Journal of Personality and Social Psychology, 42(1), 116131.Google Scholar
Cacioppo, J. T., Petty, R. E., & Feng Kao, C. (1984) The efficient assessment of need for cognition. Journal of Personality Assessment, 48(3), 306307.Google Scholar
Carpenter, J., Preotiuc-Pietro, D., Clark, J. et al. (2018) The impact of actively open-minded thinking on social media communication. Judgment & Decision Making, 13(6), 562574.Google Scholar
Cederblom, J. (1989) Willingness to reason and the identification of the self. In Maimon, E. P., Nodine, B. F., & O’Connor, F. W. (Eds.). Thinking, Reasoning, and Writing (pp. 147159). Longman.Google Scholar
Chinn, C. A., O’Donnell, A. M., & Jinks, T. S. (2000) The structure of discourse in collaborative learning. The Journal of Experimental Education, 69(1), 7797.Google Scholar
Cohen, D. K. & Ball, D. L. (1990) Policy and practice: an overview. Educational Evaluation and Policy Analysis, 12(3), 233239. doi:10.3102/01623737012003233Google Scholar
Cruz, J. A., Frey, W. J., & Sanchez, H. D. (2004) The ethics bowl in engineering ethics at the university of Puerto Rico-Mayagüez. Teaching Ethics, 4(2), 1531.Google Scholar
Cusimano, C. & Lombrozo, T. (2021) Morality justifies motivated reasoning in the folk ethics of belief. Cognition, 209(10451), 124.Google Scholar
Di Domenico, G., Sit, J., Ishizaka, A., & Nunan, D. (2021) Fake news, social media and marketing: a systematic review. Journal of Business Research, 124, 329341.Google Scholar
Epstein, S. & Meier, P. (1989) Constructive thinking: a broad coping variable with specific components. Journal of Personality and Social Psychology, 57, 332350.Google Scholar
Erwin, T. D. (1981) Manual for the Scale of Intellectual Development. Developmental Analytics.Google Scholar
Erwin, T. D. (1983) The scale of intellectual development: measuring Perry’s scheme. Journal of College Student Personnel, 24, 612.Google Scholar
Fay, A. L. & Klahr, D. (1996) Knowing about guessing and guessing about knowing: preschoolers’ understanding of indeterminacy. Child Development, 67(2), 689716.Google Scholar
Frederick, S. (2005) Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 2442.Google Scholar
Gürçay-Morris, B. (2016) The use of alternative reasons in probabilistic judgment. Doctoral Dissertation, Department of Psychology, University of Pennsylvania http://finzi.psych.upenn.edu/baron/theses/GurcayMorrisDissertation.pdfGoogle Scholar
Haidt, J. (2001) The emotional dog and its rational tail: a social intuitionist approach to moral judgment. Psychological Review, 108(4), 814834.Google Scholar
Haran, U., Ritov, I., & Mellers, B. A. (2013) The role of actively open-minded thinking in information acquisition, accuracy, and calibration. Judgment and Decision Making, 8(3), 188201.Google Scholar
Kahan, D. M. (2017) “Ordinary science intelligence”: a science-comprehension measure for study of risk and science communication, with notes on evolution and climate change. Journal of Risk Research, 20(8), 9951016.Google Scholar
Kahan, D. M. & Braman, D. (2006) Cultural cognition and public policy. Yale Law & Policy Review, 24, 147170.Google Scholar
Kahan, D. M. & Corbin, J. C. (2016) A note on the perverse effects of actively open- minded thinking on climate-change polarization. Research and Politics, 3(4), 15.Google Scholar
Kahneman, D. (2011) Thinking, fast and slow. Macmillan.Google Scholar
Kent, S. (1964) Words of estimative probability. Studies in Intelligence, 8(4), 4965.Google Scholar
King, P. M. (1992) How do we know? Why do we believe? Learning to make reflective judgments. Liberal Education, 78(1), 29.Google Scholar
King, P. M. & Kitchener, K. S. (2004) Reflective judgment: theory and research on the development of epistemic assumptions through adulthood. Educational Psychologist, 39(1), 518.Google Scholar
Kokis, J. V., Macpherson, R., Toplak, M. E., West, R. F., & Stanovich, K. E. (2002) Heuristic and analytic processing: Age trends and associations with cognitive ability and cognitive styles. Journal of Experimental Child Psychology, 83(1), 2652.Google Scholar
Kruglanski, A. W., Webster, D. M., & Klem, A. (1993) Motivated resistance and openness to persuasion in the presence or absence of prior information. Journal of Personality and Social Psychology, 65(5), 861876.Google Scholar
Ladenson, R. F. (2001) The educational significance of the ethics bowl. Teaching Ethics, 1(1), 6378.Google Scholar
Ladenson, R. F. (2018) Ethics bowl: an approach to implementing ethics across the curriculum. In Ethics across the curriculum – Pedagogical perspectives (pp. 289302). Springer.Google Scholar
Lazer, D. M., Baum, M. A., Benkler, Y. et al. (2018) The science of fake news. Science, 359(6380), 10941096.Google Scholar
Mason, L. & Boscolo, P. (2004) Role of epistemological understanding and interest in interpreting a controversy and in topic-specific belief change. Contemporary Educational Psychology, 29(2), 103128.Google Scholar
McNeill, K. L., Gonzalez-Howard, M., Katsh-Singer, R., & Loper, S. (2017) Moving beyond pseudoargumentation: teachers’ enactments of an educative science curriculum focused on argumentation. Science Education, 101(3), 426457.Google Scholar
Mellers, B., Stone, E., Atanasov, P. et al. (2015) The psychology of intelligence analysis: Drivers of prediction accuracy in world politics. Journal of Experimental Psychology: Applied, 21(1), 114.Google Scholar
Mellers, B., Ungar, L., Baron, J. et al. (2014) Psychological strategies for winning a geopolitical forecasting tournament. Psychological Science, 25(5), 11061115.Google Scholar
Mercier, H. & Sperber, D. (2011) Why do humans reason? Arguments for an argumentative theory. Behavioral and Brain Sciences, 34(2), 5774.Google Scholar
Merrick, A., Green, R., Cunningham, T. V., Eisenberg, L. R., & Hester, D. M. (2016) Introducing the medical ethics bowl. Cambridge Q. Healthcare Ethics, 25, 141149.Google Scholar
Metz, S. E., Baelen, R. N., & Yu, A. (2020) Actively open-minded thinking in American adolescents. Review of Education, 8(3), 768799.Google Scholar
Meyer, T. (2012) The intercollegiate ethics bowl: an active learning experience. Marketing Education Review, 22(3), 215224.Google Scholar
Mill, J. S. (1859) On liberty. J.W. Parker & Son.Google Scholar
Morewedge, C. K., Yoon, H., Scopelliti, I., Symborski, C. W., Korris, J. H., & Kassam, K. S. (2015) Debiasing decisions: improved decision making with a single training intervention. Policy Insights from the Behavioral and Brain Sciences, 2(1), 129140.Google Scholar
Mulhall, P. J., Smith, D. V., Hart, C. E., & Gunstone, R. F. (2017) Contemporary scientists discuss the need for openness and open-mindedness in science and society. Research in Science Education, 47(5), 11511168.Google Scholar
Nickerson, R. S. (1998) Confirmation bias: a ubiquitous phenomenon in many guises. Review of General Psychology, 2(2), 175220.Google Scholar
Pennycook, G., Cheyne, J. A., Koehler, D., & Fugelsang, J. A. (2020) On the belief that beliefs should change according to evidence: Implications for conspiratorial, moral, paranormal, political, religious, and science beliefs. Judgment and Decision Making, 15 (4), 476498.Google Scholar
Perkins, D. (1986/2019) Learning to reason: the influence of instruction, prompts and scaffolding, metacognitive knowledge, and general intelligence on informal reasoning about everyday social and political issues. Judgment and Decision Making, 14(6), 624643.Google Scholar
Perkins, D. (1995) Outsmarting IQ: the emerging science of learnable intelligence. Simon & Schuster.Google Scholar
Perkins, D. & Ritchhart, R. (2004) When is good thinking. In Dai, D. Y. & Sternberg, R. J. (Eds.), Motivation, emotion, and cognition: Integrative Perspectives on Intellectual Functioning and Development (pp. 351384). Lawrence Erlbaum Associates, Publishers.Google Scholar
Perry, W. G. (1970) Forms of intellectual and ethical development in the college years: a scheme. Holt, Rinehart & Winston.Google Scholar
Peters, E., Joseph, S., Day, S., & Garety, P. (2004) Measuring delusional ideation: the 21-item Peters et al. Delusions Inventory (PDI). Schizophrenia Bulletin, 30(4), 10051022.Google Scholar
Ranney, M. A. & Clark, D. (2016) Climate change conceptual change: scientific information can transform attitudes. Topics in Cognitive Science, 8(1), 4975.Google Scholar
Rokeach, M. (1960) The open and closed mind. Basic Books.Google Scholar
, W. C., Kelly, C. N., Ho, C., & Stanovich, K. E. (2005) Thinking about personal theories: individual differences in the coordination of theory and evidence. Personality and Individual Differences, 38(5), 11491161.Google Scholar
, W. C., West, R. F., & Stanovich, K. E. (1999) The domain specificity and generality of belief bias: searching for a generalizable critical thinking skill. Journal of Educational Psychology, 91(3), 497510.Google Scholar
, W. C. & Stanovich, K. K. (2001) The domain specificity and generality of mental contamination: accuracy and projection in judgments of mental content. Journal of Educational Psychology, 91(3), 281302.Google Scholar
Slater, M. D. & Rouner, D. (1996) How message evaluation and source attributes may influence credibility assessment and belief change. Journalism & Mass Communication Quarterly, 73(4), 974991.Google Scholar
Stanovich, K. (2011) Rationality and the reflective mind. Oxford University Press.Google Scholar
Stanovich, K. E. & West, R. F. (1997) Reasoning independently of prior belief and individual differences in actively open-minded thinking. Journal of Educational Psychology, 89(2), 342357.Google Scholar
Stanovich, K. E. & West, R. F. (1998) Individual differences in rational thought. Journal of Experimental Psychology: General, 127(2), 161188.Google Scholar
Stanovich, K. E. & West, R. F. (2007) Natural myside bias is independent of cognitive ability. Thinking and Reasoning, 13(3), 225247.Google Scholar
Stanovich, K. E. & West, R. F. (2008) On the failure of cognitive ability to predict myside and one-sided thinking biases. Thinking and Reasoning, 14(2), 129167.Google Scholar
Stanovich, K. E., West, R. F., & Toplak, M. E. (2013) Myside bias, rational thinking, and intelligence. Current Directions in Psychological Science, 22(4), 259264.Google Scholar
Svedholm, A. M. & Lindeman, M. (2013) The separate roles of the reflective mind and involuntary inhibitory control in gatekeeping paranormal beliefs and the underlying intuitive confusions. British Journal of Psychology, 104(3), 303319.Google Scholar
Svedholm, A. M. & Lindeman, M. (2017) Actively open-minded thinking: development of a shortened scale and disentangling attitudes toward knowledge and people. Thinking and Reasoning, 24(1), 2140.Google Scholar
Swami, V., Voracek, M., Stieger, S., Tran, U. S., & Furnham, A. (2014) Analytic thinking reduces belief in conspiracy theories. Cognition, 133(3), 572585.Google Scholar
Tetlock, P. E. (2002) Social functionalist frameworks for judgment and choice: intuitive politicians, theologians, and prosecutors. Psychological Review, 109(3), 451471.Google Scholar
Tetlock, P. E., Mellers, B. A., & Scoblic, J. P. (2017) Bringing probability judgments into policy debates via forecasting tournaments. Science, 355(6324), 481483.Google Scholar
Thompson, V. A., Prowse Turner, J. A., & Pennycook, G. (2011) Intuition, reason, and metacognition. Cognitive Psychology, 63(3), 107140.Google Scholar
Toplak, M. E. & Stanovich, K. E. (2003) Associations between myside bias on an informal reasoning task and amount of post-secondary education. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 17(7), 851860.Google Scholar
Toplak, M. E., West, R. F., & Stanovich, K. E. (2014) Rational thinking and cognitive sophistication: development, cognitive abilities, and thinking dispositions. Developmental Psychology, 50(4), 10371048.Google Scholar
Wineburg, S. & McGrew, S. (2017) Lateral reading: reading less and learning more when evaluating digital information. Stanford History Education Group Working Paper No. 2017-A1Google Scholar

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