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{ "pk": 27909, "title": "Measuring Belief Bias with Ternary Response Sets", "subtitle": null, "abstract": "Belief bias in syllogistic reasoning refers to the finding thatindividuals are more likely to accept believable than unbeliev-able conclusions independent of their logical validity. Mosttheories argue that belief bias is driven by differences in rea-soning processes between believable and unbelievable syllo-gisms. In contrast, Dube, Rotello, and Heit (2010) proposedthat belief bias is solely an effect of response processes. Weinvestigated belief bias without having to rely on response biasmanipulations (Klauer, Musch, and Naumer, 2000) or confi-dence ratings (Dube et al., 2010). Instead, we added a thirdresponse (“I don’t know”) to the usual binary response set(“Yes”/“No”). This allowed us to test belief bias with a fullyidentified multinomial processing tree model, in a hierarchicalBayesian framework. We found evidence that the belief biasis driven by differences in response processes. Evidence for adifference in reasoning processes was inconclusive.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "belief bias; syllogisms; multinomial processing tree models" } ], "section": "Publication-based-Talks", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/895205x6", "frozenauthors": [ { "first_name": "Samuel", "middle_name": "", "last_name": "Winiger", "name_suffix": "", "institution": "University of Zurich", "department": "" }, { "first_name": "Henrik", "middle_name": "", "last_name": "Singmann", "name_suffix": "", "institution": "University of Zurich", "department": "" }, { "first_name": "David", "middle_name": "", "last_name": "Kellen", "name_suffix": "", "institution": "Syracuse", "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/27909/galley/17547/download/" } ] }