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N. 3 (2022)

Metacognitive Decision-Making Scenarios (MDMS): proposta di uno strumento per valutare la consapevolezza nei processi decisionali

DOI
https://doi.org/10.3280/rip2022oa15308
Inviata
25 gennaio 2023
Pubblicato
02-02-2023

Abstract

La capacità decisionale costituisce uno degli aspetti più pervasivi e importanti durante tutto il ciclo di vita dell’individuo. Compiere correttamente le proprie scelte è essenziale per il mantenimento di una prolungata autonomia nella quotidianità, aspetto che risulta cruciale soprattutto con l’avanzare dell’età.
Sebbene numerosi studi evidenzino che per una decisione efficace è importante essere consapevoli del processo decisionale attuato, in letteratura non sono disponibili strumenti che siano in grado di rilevare tale consapevolezza.
Questʼultima risulta importante soprattutto nell’anzianità, quando tendenzialmente la maggior parte delle funzioni cognitive sottostanti alla capacità decisionale risulta meno efficiente, inficiando così anche la qualità delle proprie decisioni. Nel presente contributo si vuole descrivere il Metacognitive Decision-Making Scenarios, uno strumento self-report progettato per indagare la consapevolezza all’interno del processo decisionale dell’anziano, assieme ai risultati derivati da una sua preliminare applicazione in fase pilota.
Sono state analizzate le risposte di 40 partecipanti, rilevando che lo strumento presenta livelli di consistenza interna superiori alla soglia di accettazione e stabilità nel tempo delle risposte. Vengono inoltre considerate le relazioni esistenti tra le sottoscale e le principali abilità cognitive e caratteristiche psicologiche legate al processo decisionale, oltre a possibili differenze nelle risposte in base a età, scolarità e genere.

Riferimenti bibliografici

  1. Antonietti, A. (2011). Introspecting a conscious decision or the consciousness of a decision?. Consciousness and Cognition, 20, 1916-1917. DOI: 10.1016/j.concog.2011.04.011.
  2. Baldi, P. L., Iannello, P., Riva, S., & Antonietti, A. (2013). Cognitive reflection and socially biased decisions. Studia Psychologica, 55, 265-271. DOI: 10.21909/sp.2013.04.641.
  3. Besedeš, T., Deck, C., Sarangi, S, & Shor, M. (2012). Age effects and heuristics in decision making. The Review of Economics and Statistics, 94(2), 580-595. DOI: 10.1162/REST_a_00174.
  4. Betsch, C. (2004). Preference for Intuition and Deliberation (PID): an inventory for assessing affect and cognition based decision making. Zeitschrift für Differentielle und Diagnostische Psychologie, 25, 179-197. DOI: 10.12691/rpbs-1-3-2.
  5. Biassoni, F., Iannello. P., Antonietti, A., Ciceri, M.R. (2016). Influences of fertility status on risky driving behaviour. Applied Cognitive Psychology, 30(6), 946-952. DOI: 10.1002/acp.3283.
  6. Bruine de Bruin, W., Parker, A. M., & Fischhoff, B. (2007). Individual differences in adult decision-making competence. Journal of Personality and Social Psychology, 92, 938-956. DOI: 10.1037/0022-3514.92.5.938.
  7. Bruine De Bruin, W., Parker, A. M., & Fischhoff, B. (2012). Explaining adult age differences in decision-making competence. Journal of Behavioral Decision Making, 25, 352- 360. DOI: 10.1002/bdm.712.
  8. Busenitz, L. W., & Barney, J. B. (1997). Differences between entrepreneurs and managers in large organizations: Biases and heuristics in strategic decisionmaking. Journal of Business Venturing, 12(1), 9-30. DOI: 10.1016/s0883-9026(96)00003-1.
  9. Caffarra, P., Vezzadini, G., Dieci, F., Zonato, F., & Venneri, A. (2002). A short version of the Stroop test: Normative data in an Italian population sample. Nuova rivista di neurologia, 12, 111-115.
  10. Cannon-Bowers, J. A., & Salas, E. (2002). Individual and team decision making under stress: Theoretical underpinnings. In J.A. Cannon-Bowers, & E. Salas (Eds.), Making decisions under stress (pp. 17-38). Washington, DC: American Psychological Association.
  11. Caplan, L. J., & Schooler, C. (2003). The roles of fatalism, self-confidence, and intellectual resources in the disablement process in older adults. Psychology and Aging, 18(3), 551-561. DOI: 10.1037/0882-7974.18.3.551.
  12. Cohen, M. S., Freeman, J. T., & Thompson, B. B. (1997). Training the naturalistic decision maker. In C. E. Zsambok, G. Klein (Eds.). Naturalistic decision making (pp. 257-268). Hillsdale, NJ: Erlbaum.
  13. Colautti, L., Antonietti, A., & Iannello, P. (2022). Executive Functions in Decision Making under Ambiguity and Risk in Healthy Adults: A Scoping Review Adopting the Hot and Cold Executive Functions Perspective. Brain Sciences, 12, 1335. DOI: 10.3390/brainsci12101335.
  14. Colombo, B., Iannello, P., & Antonietti, A. (2010). Metacognitive knowledge of decision making. In A. Efklides, & P. Misailidi (Eds). Trends and prospects in metacognition research (pp. 445-472). New York: Springer.
  15. Cristini, C., Rizzi, R., & Zago, S. (2005). La vecchiaia fra salute e malattia. Bologna: Pendragon.
  16. Del Missier, F., Mäntylä, T., & Bruine de Bruin, W. (2012). Decision-making competence, executive functioning, and general cognitive abilities. Journal of Behavioral Decision Making, 25, 331-351. DOI: 10.1002/bdm.731.
  17. Desender, K., Boldt, A., & Yeung, N. (2018). Subjective confidence predicts information seeking in decision making. Psychological science, 29(5), 761-778. DOI: 10.1177/095679761774477.
  18. Eberhardt, W., Bruine de Bruin, W., & Strough, J. N. (2019). Age differences in financial decision making: the benefits of more experience and less negative emotions. Journal of Behavioral Decision Making, 32, 79-93. DOI: 10.1080/13825585.2017.1418283.
  19. Evans J. (2008). Dual-processing accounts of reasoning, judgment, and social cognit ion. Annual Review of Psychology, 59, 255-278. DOI: 10.1146/annurev.psych.59.103006.093629.
  20. Ewell-Kumar, A. (1999). The influence of metacognition on managerial hiring decision making: implications for management development. Dissertation Abstracts International, A (Humanities and Social Sciences), 59(10-A), 3714. http://hdl.handle.net/10919/30644.
  21. Finucane, M. L., Mertz, C. K., Slovic, P., & Schmidt, E. S. (2005). Task complexity and older adults’ decision-making competence. Psychology and Aging, 20(1), 71-84. DOI: 10.1037/0882-7974.20.1.71.
  22. Finucane, M. L., & Gullion, C. M. (2010). Developing a tool for measuring the decision-making competence of older adults. Psychology and Aging, 25(2), 271-288. DOI: 10.1037/a0019106.
  23. Flavell, J. H. (1979). Metacognition and cognitive monitoring: a new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911. DOI: 10.1037/0003-066X.34.10.906.
  24. Flavell, J. H., Green, F. L., & Flavell, E. R. (1995). Young children’s knowledge about thinking. Monographs of the Society for the Research in Child Development, 60(1) [243], v-96. DOI: 10.2307/1166124.
  25. Fleming, S. M., Ryu, J., Golfinos, J. G., & Blackmon, K. E. (2014) Domainspecific impairment in metacognitive accuracy following anterior prefrontal lesions. Brain, 137, 2811-2822. DOI: 10.1093/brain/awu221.
  26. Fleming, S. M., Maniscalco, B., Ko, Y., Amendi, N., Ro, T., & Lau, H. (2015). Action-specific disruption of perceptual confidence. Psychological Science, 26, 89-98. DOI: 10.1177/0956797614557697.
  27. Gambetti, E., Fabbri, M., Bensi, L., & Tonetti, L. (2008). A contribution to the Italian validation of the General Decision-making Style Inventory. Personality and Individual Differences, 44(4), 842-852. DOI: 10.1016/j.paid.2007.10.017.
  28. Gilovich, T., Griffin, D., Kahneman, D. (2002). Heuristics and biases: The psychology of intuitive judgment. New York: Cambridge University Press.
  29. Giovagnoli, A. R., Del Pesce, M., Mascheroni, S., Simoncelli, M., Laiacona, M., & Capitani, E. (1996). Trail Making Test: Normative values from 287 normal adult controls. ltalian Journal of Neurological Sciences, 17, 305-309. DOI: 10.1007/BF01997792.
  30. Halpern, D. F. (2013). Thought and knowledge: An introduction to critical thinking. Oxfordshire: Psychology Press.
  31. Hertzog, C., & Hultsch, D. F. (2000). Metacognition in adulthood and old age. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (pp. 417-466). Lawrence Erlbaum Associates Publishers.
  32. Hertzog, C., Smith, R. M., & Ariel, R. (2018). Does the Cognitive Reflection Test actually capture heuristic versus analytic reasoning styles in older adults?. Experimental aging research, 44(1), 18-34. DOI: 10.1080/0361073X.2017.1398508.
  33. Hoge, G. L., Stylianou, A. M., Hetling, A., & Postmus, J. L. (2017). Developing and validating the Scale of Economic Self-Efficacy. Journal of
  34. Interpersonal Violence, 1-23. DOI: 10.1177/0886260517706761.
  35. Iannello, P., & Antonietti, A. (2012). Relations between maximizing tendencies and styles in decision-making. In K. O. Moore & N. P. Gonzalez (Eds.), Handbook on psychology of decision-making (pp. 131-152). Hauppauge, NY: Nova Science Publishers.
  36. Iannello, P., Balconi, M., & Antonietti, A. (2014). Intuitive versus analytical decision making modulates trust in e-commerce. Neuropsychological Trends, 16, 31-49. DOI: 10.7358/neur-2014-016-iann.
  37. Iannello, P., Perucca, V., Riva, S., Antonietti, A., & Pravettoni, G. (2015). What do physicians believe about the way decisions are made? A pilot study on metacognitive knowledge in the medical context. Europe’s Journal of Psychology, 11(4), 1-16, article 1841-0413. DOI: 10.5964/ejop.v11i4.979.
  38. Jackson, S. A., & Kleitman, S. (2014). Individual differences in decisionmaking and confidence: capturing decision tendencies in a fictitious medical test. Metacognition and Learning 9(1), 25-49. DOI: 10.1007/s11409-013-9110-y.
  39. Jackson, S. A, Kleitman, S., Howie, P., & Stankov, L. (2016). Cognitive abilities, monitoring confidence, and control thresholds explain individual differences in heuristics and biases. Frontiers in Psychology, 7, 1-14. DOI: 10.3389/fpsyg.2016.01559.
  40. Kvidera, S., & Koutstaal, W. (2008). Confidence and decision type under matched stimulus conditions: overconfidence in perceptual but not conceptual decisions. Journal of Behavioral Decision Making, 21, 253-281. DOI: 10.1002/bdm.587.
  41. Löckenhoff, C. E. (2018). Aging and decision-making: A conceptual framework for future research-a mini-review. Gerontology, 64(2), 140-148. DOI: 10.1159/000485247.
  42. Lown, J. M. (2011). Development and Validation of a Financial Self-Efficacy Scale. Journal of Financial Counseling and Planning, 22(2), 54-63.
  43. Magni E, Binetti G, Bianchetti A, Rozzini R, & Trabucchi M: (1996). Mini-Mental state examination: a normative study in italian elderly population. European Journal of Neurology, 3, 1-5. DOI: 10.1111/j.1468-1331.1996.tb00423.x.
  44. Mann, L., Burnett, P., Radford, M., & Ford, S. (1997). The Melbourne Decision Making Questionnaire: an instrument for measuring patterns for coping with decisional conflict. Journal of Behavioural Decision Making, 10, 1-19. DOI: 10.1002/(SICI)1099-0771(199703)10:1<1::AID-BDM242>3.0.CO;2-X.
  45. Mather, M. (2006). A review of decision-making processes: weighing the risks and benefits of aging. In L. L. Carstensen, C. R. Hartel (Eds.), When I’m 64 (pp. 145-173). Washington D.C.: The National Academies Press.
  46. McCormick, M., Reyna, V. F., Ball, K., Katz, J. S., & Deshpande, G. (2019). Neural underpinnings of financial decision bias in older adults: putative theoretical models and a way to reconcile them. Frontiers in Neuroscience, 13, 184. DOI: 10.3389/fnins.2019.00184.
  47. Mecocci, P., Cherubini, A., & Senin, U. (2002). Invecchiamento cerebrale, declino cognitivo, demenza. Un continuum?. Critical Medicine Publishing.
  48. Mikels, J. A., Cheung, E., Cone, J., & Gilovich, T. (2013). The dark side of intuition: aging and increases in nonoptimal intuitive decisions. Emotion, 13(2), 189-195. DOI: 10.1037/a0030441.
  49. Monacis, L., de Paolo, V., Di Nuovo, S., & Sinatra, M. (2016). Validation of the Rational and Experiential Multimodal Inventory in the Italian context. Psychological Reports, 119(1) 242-262. DOI: 10.1177/0033294116657623.
  50. Monaco, M., Costa, A, Caltagirone, C., & Carlesimo, G. A. (2012). Forward and backward span for verbal and visuo-spatial data: standardization and normative data from an Italian adult population. Official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 34, 749-754. DOI: 10.1007/s10072-012-1130-x. Epub 2012 Jun 12.
  51. Moye, J., & Marson, D. C. (2007). Assessment of Decision-Making Capacity in Older Adults: An Emerging Area of Practice and Research. Journal of Gerontology, 62(1), 3-11. DOI: 10.1093/geronb/62.1.p3.
  52. Nolan, M. T., Hughes, M. T., Kub, J., Terry, P. B., Astrow, A., Thompson, R. E., Clawson, L., Texeira, K., & Sulmasy, D. P. (2009). Development and validation of the Family Decision-Making Self-Efficacy Scale. Palliative & Supportive Care, 7(3), 1-12. DOI: 10.1017/S1478951509990241.
  53. Osmani, J. (2018). Decision making and overconfidence: is there a correlation with age?. Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture, 945.
  54. Paraskevoudi, N., Balcı, F., & Vatakis, A. (2018). “Walking” through the sensory, cognitive, and temporal degradations of healthy aging. Annals of the New York Academy of Sciences, 1426(1), 72-92. DOI: 10.1111/nyas.13734.
  55. Peters, E., & Bruine de Bruin, W. (2012). Aging and decision skills. In M. K. Dhami, A., Schlottmann, & M. Waldmann (Eds). Judgment and Decision Making as a Skill: Learning, Development, and Evolution. Cambridge University Press.
  56. Qiu L, Su J, Ni Y, Bai Y, Zhang X, Li X, et al. (2018) The neural system of metacognition accompanying decision-making in the prefrontal cortex. PLoS Biol, 16(4): e2004037. DOI: 10.1371/journal.pbio.2004037.
  57. Quattropani, M.C., Lenzo, V., Mucciardi, M. & Toffle, M.E. (2014). Psychometric properties of the Italian version of the Short Form of the
  58. Metacognitions Questionnaire-30 (MCQ-30). Bollettino di Psicologia Applicata, 269, 29-41.
  59. Queen, T. L., & Hess, T. M. (2010). Age differences in the effects of conscious and unconscious thought in decision making. Psychology and Aging, 25, 251-261. DOI: 10.1037/a0018856.
  60. Raffaldi, S., Iannello, P., Vittani, L., & Antonietti, A. (2012). Decision-making styles in the workplace: Relationships between self-report questionnaires and a contextualised measure of the analytical-systematic versus global-intuitive approach. Sage Open. DOI: 10.1177/2158244012448082.
  61. Ramchandran, K., Tranel, D., Duster, K., & Denburg, N. L. (2020). The role of emotional vs. cognitive intelligence in economic decision-making amongst older adults. Frontiers in neuroscience, 14, 497. DOI: 10.3389/fnins.2020.00497.
  62. Rosi, A., Bruine de Bruin, W., Del Missier, F., Cavallini, E., & Russo, R. (2019a). Decision-making competence in older and younger adults: Which cognitive abilities contribute to the application of decision rules? Aging, Neuropsychology, and Cognition, 26(2), 174-189. DOI: 10.1080/13825585.2017.1418283.
  63. Rosi, A., Vecchi, T., & Cavallini, E. (2019b). Metacognitive-strategy training promotes decision-making ability in older adults. Open Psychology, 1, 200-214. DOI: 10.1515/psych-2018-0014.
  64. Salthouse, T. (2012). Consequences of age-related cognitive declines. Annual Review of Psychology, 63, 201-226. DOI: 10.1146/annurev-psych-120710-100328.
  65. Samanez-Larkin, G. R., & Knutson, B. (2015). Decision making in the ageing brain: changes in affective and motivational circuits. Nature Reviews Neuroscience, 16, 278-289. DOI: 10.1038/nrn3917.
  66. Sanna, L. J., & Schwarz, N. (2006). Metacognitive experiences and human judgment: The case of hindsight bias and its debiasing. Current Directions in Psychological Science, 15, 172-176. DOI: 10.1111/j.1467-8721.2006.00430.x.
  67. Sanz de Acedo Lizarraga, M. L., Sanz de Acedo Baquedano, M. T., Oliver, M. S., & Closas, A. (2009). Development and validation of a decision-making questionnaire. British Journal of Guidance & Counselling, 37(3), 357-373. DOI: 10.1080/03069880902956959.
  68. Sibilia, L., Schwarzer, R., & Jerusalem, M. (1995). Italian adaptation of the general self-efficacy scale: Self-Efficacy Generalized. http://userpage.fuberlin.de/health/italian.htm.
  69. Strough, J., Mehta, C. M., McFall, J. P., & Schuller, K. L. (2008). Are older adults less subject to the sunk-cost fallacy than younger adults?
  70. Psychological Science, 19, 650-652. DOI: 10.1111/j.1467-9280.2008.02138.x.
  71. Wokke, M. E., Achoui, D., & Cleeremans, A. (2020). Action information contributes to metacognitive decision-making. Scientific Reports, 10(3632). DOI: 10.1038/s41598-020-60382-y.

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