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Locating the Source of Approach/Avoidance Effects on Natural Language Category Decisions

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dc.contributor.advisorAndrew Cohen
dc.contributor.advisorCharles Clifton, Jr.
dc.contributor.advisorRonnie Janoff-Bulman
dc.contributor.authorZivot, Matthew
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.date2023-09-23T07:39:19.000
dc.date.accessioned2024-04-26T19:52:39Z
dc.date.available2024-04-26T19:52:39Z
dc.date.issued2012-09-01
dc.description.abstractIn this dissertation, two exemplar-based models of categorization, the General Context Model (GCM) and the Exemplar Based Random Walk model (EBRW), were used to describe between-group categorization differences in artificial and natural language categories. Prior research has shown that political Conservatives in avoidance mode are more exclusive categorizers of natural language category members than Conservatives in approach mode, but this effect was absent for Liberals (Rock & Janoff-Bulman, 2010). In Experiment 1, experimenter-generated stimuli were used to show that the EBRW could account for between-group differences in categorization decisions. In Experiment 2, the data collected by Rock and Janoff-Bulman were used to develop techniques allowing the GCM to account for between-group differences in natural language categorization decisions. Experiment 3 extends these methods to allow the EBRW to account for between-group differences in natural language categorization decisions. Across these experiments, the models identify between-group differences in determining similarity, bias to give an "in-the-category" decision, and the amount of information required to make a categorization decision. Techniques for modeling natural language categorization decisions are discussed.
dc.description.degreeDoctor of Philosophy (PhD)
dc.description.departmentPsychology
dc.identifier.doihttps://doi.org/10.7275/3534276
dc.identifier.urihttps://hdl.handle.net/20.500.14394/39122
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1675&context=open_access_dissertations&unstamped=1
dc.source.statuspublished
dc.subjectApproach/Avoidance motivation
dc.subjectModels of categorization
dc.subjectNatural Language Categories
dc.subjectPolitical Orientation
dc.subjectPsychiatry and Psychology
dc.titleLocating the Source of Approach/Avoidance Effects on Natural Language Category Decisions
dc.typedissertation
dc.typearticle
dc.typedissertation
digcom.contributor.authorisAuthorOfPublication|email:mzivot@gmail.com|institution:University of Massachusetts Amherst|Zivot, Matthew
digcom.identifieropen_access_dissertations/674
digcom.identifier.contextkey3534276
digcom.identifier.submissionpathopen_access_dissertations/674
dspace.entity.typePublication
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