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{ "pk": 25878, "title": "A Computational Modeling Approach to Understanding Gender Differences in the\nIowa Gambling Task", "subtitle": null, "abstract": "Several studies have found gender differences in Iowa Gambling Task (IGT) performance in which males typically\noutperform females. However, the precise mechanism that underlies this effect remains unclear, and prior modeling efforts\nhave been unable to pinpoint specific gender differences in behavioral aspects of the IGT. Our results replicated the behavioral\ngender difference finding and showed that females select the disadvantageous Deck B more than males. We fit the data with\nversions of the Expectancy Valence and Prospect Valence Learning models that included a parameter to account for participants’\nperseverative tendencies. The addition of this parameter to the models led to a substantial improvement in the fit to the data.\nAn examination of the best fitting parameter differences suggests that females give greater weight to recent events than males,\nwhich may lead females to discount the large, infrequent losses given by Deck B more and select that option more frequently", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Member Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/45b392sd", "frozenauthors": [ { "first_name": "Kaileigh", "middle_name": "A", "last_name": "Byrne", "name_suffix": "", "institution": "Texas A&M University", "department": "" }, { "first_name": "Darrell", "middle_name": "A", "last_name": "Worthy", "name_suffix": "", "institution": "Texas A&M University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25878/galley/15502/download/" } ] }