| Uncovering contrast categories in categorization with a probabilistic threshold model. | |
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MedLine Citation:
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PMID: 21767056 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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A contrast category effect on categorization occurs when the decision to apply a category term to an entity not only involves a comparison between the entity and the target category but is also influenced by a comparison of the entity with 1 or more alternative categories from the same domain as the target. Establishing a contrast category effect on categorization in natural language categories has proven to be laborious, especially when the categories concerned are natural kinds situated at the superordinate level of abstraction. We conducted 3 studies with these categories to look for an influence on categorization of both similarity to the target category and similarity to a contrast category. The results are analyzed with a probabilistic threshold model that assumes categorization decisions arise from the placement of threshold criteria by individual categorizers along a single scale that holds the experimental stimuli. The stimuli's positions along the scale are shown to be influenced by similarity to both target and contrast. These findings suggest that the prevalence of contrast category effects on categorization might have been underestimated. Additional analyses demonstrate how the proposed model can be employed in future studies to systematically investigate the origins of contrast category effects on categorization. (PsycINFO Database Record (c) 2011 APA, all rights reserved). |
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Authors:
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Steven Verheyen; Simon De Deyne; Matthew J Dry; Gert Storms |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-7-18 |
Journal Detail:
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Title: Journal of experimental psychology. Learning, memory, and cognition Volume: - ISSN: 1939-1285 ISO Abbreviation: - Publication Date: 2011 Jul |
Date Detail:
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Created Date: 2011-7-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8207540 Medline TA: J Exp Psychol Learn Mem Cogn Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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