{"id":{"repo_id":"unt","oai_identifier":"info:ark/67531/metadc2906"},"canonical_url":"https://search.dev.ndltd.org/etd/unt/info:ark/67531/metadc2906","repository":{"repo_id":"unt","name":"University of North Texas","base_url":"https://digital.library.unt.edu/oai/"},"display":{"title":"Patterns of Change in Semantic Clustering in Schizophrenia Spectrum Disorders: What Can it Tell Us about the Nature of Clustering Deficits","abstract":"Semantic clustering has been used as a measure of learning strategies in a number of clinical populations and has been found to be deficient in individuals with Schizophrenia, but less attention has been paid to the dynamic use of this strategy over the course of fixed-order learning trials. In the current study, we examined this pattern of clustering use over trials in a sample of individuals with Schizophrenia, and explored whether the addition of this dynamic information would help us to better predict specific executive deficits. Results suggested that a decrease in semantic clustering across trials was associated with some executive deficits in the predicted manner. Nonetheless, the overall semantic clustering index generally proved more effective for the purposes, suggesting that in this population, the addition of dynamic information in strategy use is not likely to add considerably to clinical prediction and understanding.","abstract_html":"Semantic clustering has been used as a measure of learning strategies in a number of clinical populations and has been found to be deficient in individuals with Schizophrenia, but less attention has been paid to the dynamic use of this strategy over the course of fixed-order learning trials. In the current study, we examined this pattern of clustering use over trials in a sample of individuals with Schizophrenia, and explored whether the addition of this dynamic information would help us to better predict specific executive deficits. Results suggested that a decrease in semantic clustering across trials was associated with some executive deficits in the predicted manner. Nonetheless, the overall semantic clustering index generally proved more effective for the purposes, suggesting that in this population, the addition of dynamic information in strategy use is not likely to add considerably to clinical prediction and understanding.","abstract_has_math":false,"creators":["Edwards, Kimberly"],"institution":"University of North Texas","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Neumann, Craig S.","Chandler, Cynthia K.","Sewell, Kenneth W.","Harrell, Ernest"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2001,"date_issued":"2001-08","date_published":"2001-08","updated_at":"2026-07-24T05:34:52Z","subjects":["Schizophrenia.","Schizophrenics -- Language.","Learning, Psychology of.","semantic clustering","clinical populations","strategy use","Schizophrenia","learning strategies"],"languages":["English"],"rights":["Public","Copyright","Edwards, Kimberly","Copyright is held by the author, unless otherwise noted. All rights reserved."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["oclc: 50988982","https://digital.library.unt.edu/ark:/67531/metadc2906/","ark: ark:/67531/metadc2906"],"render_values":[{"text":"oclc: 50988982","href":null,"code":true},{"text":"https://digital.library.unt.edu/ark:/67531/metadc2906/","href":"https://digital.library.unt.edu/ark:/67531/metadc2906/","code":true},{"text":"ark: ark:/67531/metadc2906","href":null,"code":true}]}]},"links":{"outbound_url":"https://doi.org/10.12794/metadc2906","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Neumann, Craig S.","Chandler, Cynthia K.","Sewell, Kenneth W.","Harrell, Ernest"]},{"key":"dc:creator","label":"Author","values":["Edwards, Kimberly"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2001-08"]},{"key":"dc:publisher","label":"Institution","values":["University of North Texas"]},{"key":"dc:type","label":"Dc Type","values":["Thesis or Dissertation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Schizophrenia.","Schizophrenics -- Language.","Learning, Psychology of.","semantic clustering","clinical populations","strategy use","Schizophrenia","learning strategies"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["Public","Copyright","Edwards, Kimberly","Copyright is held by the author, unless otherwise noted. 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Results suggested that a decrease in semantic clustering across trials was associated with some executive deficits in the predicted manner. Nonetheless, the overall semantic clustering index generally proved more effective for the purposes, suggesting that in this population, the addition of dynamic information in strategy use is not likely to add considerably to clinical prediction and understanding."]},{"key":"dc:format","label":"Dc Format","values":["Text"]},{"key":"dc:title","label":"Title","values":["Patterns of Change in Semantic Clustering in Schizophrenia Spectrum Disorders: What Can it Tell Us about the Nature of Clustering Deficits"]}]}],"canonical_facts":{"dc:contributor":["Neumann, Craig S.","Chandler, Cynthia K.","Sewell, Kenneth W.","Harrell, Ernest"],"dc:creator":["Edwards, Kimberly"],"dc:date":["2001-08"],"dc:description":["Semantic clustering has been used as a measure of learning strategies in a number of clinical populations and has been found to be deficient in individuals with Schizophrenia, but less attention has been paid to the dynamic use of this strategy over the course of fixed-order learning trials. In the current study, we examined this pattern of clustering use over trials in a sample of individuals with Schizophrenia, and explored whether the addition of this dynamic information would help us to better predict specific executive deficits. Results suggested that a decrease in semantic clustering across trials was associated with some executive deficits in the predicted manner. 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