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{ "pk": 27802, "title": "Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment", "subtitle": null, "abstract": "Self-assessment, or the evaluation of one’s ability on a task, is\nwidely perceived as a fundamental skill, yet in most studies,\npeople are found to be poorly calibrated to their own abilities.\nSome results seem to show poorer calibration for low perform-\ners than for high performers. This effect has been explained\nin multiple ways: it could indicate worse metacognitive abil-\nity among the low performers (the “Dunning-Kruger” effect),\nor simply regression to the mean. To tease apart these expla-\nnations we develop a Bayesian model of self-assessment and\nevaluate its predictions in two experiments. Our results suggest\nthat poor self-assessment is caused by the influence of prior be-\nliefs and imperfect skill at determining whether a problem was\nsolved correctly or not, and offer only weak support for of a\nrelationship between metacognitive ability and performance.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "self-assessment" }, { "word": "Logical reasoning" }, { "word": "metacognition" }, { "word": "Bayesian modeling" } ], "section": "Publication-based-Talks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/5fh7m0zt", "frozenauthors": [ { "first_name": "Rachel", "middle_name": "A", "last_name": "Jansen", "name_suffix": "", "institution": "UC Berkley", "department": "" }, { "first_name": "Anna", "middle_name": "N", "last_name": "Rafferty", "name_suffix": "", "institution": "Carleton College", "department": "" }, { "first_name": "Thomas", "middle_name": "L", "last_name": "Griffiths", "name_suffix": "", "institution": "UC Berkley", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2018-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27802/galley/17442/download/" } ] }