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dc.contributor.advisorWilson, Stephen M.en
dc.contributor.advisorBeeson, Pélagieen
dc.contributor.authorCasilio, Marianne
dc.creatorCasilio, Marianneen
dc.date.accessioned2017-06-13T23:34:19Z
dc.date.available2017-06-13T23:34:19Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10150/624122
dc.description.abstractPurpose: The goal of this study was to develop a novel tool for connected speech analysis in aphasia, so that spoken output can be characterized in a data-driven and explanatory manner. Method: We designed a multidimensional rating scheme called the Auditory-Perceptual Rating of Connected Speech in Aphasia (APROCSA), in which 27 common features were each rated on a 5-point scale. Three researchers and twelve student clinicians rated 24 connected speech samples from the AphasiaBank database. Results: Ratings conducted by both researchers and student clinicians demonstrated good-to-excellent reliability and strong concurrent validity with AphasiaBank measures derived from transcriptions, clinical measures, and subscores from the Western Aphasia Battery (WAB). Factor analysis revealed that four underlying factors—Paraphasia, Logopenia, Agrammatism, and Motor speech—accounted for 79% of the variance in the connected speech profiles. Examination of individual patient scores showed considerable diversity of factor scores among patients of any given aphasia subtype. Conclusions: The APROCSA proved to be a reliable, valid, and efficient tool for research or clinical purposes. The preliminary findings of the factor analysis suggest a parcellation of non-fluency into three distinct profiles—Logopenia, Agrammatism, and Motor speech—which may occur in conjunction with other non-fluent profiles or with the fluent profile
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.subjectaphasiaen
dc.subjectassessmenten
dc.subjectconnected speechen
dc.subjectfluenten
dc.subjectnonfluenten
dc.subjectstrokeen
dc.titleAn Auditory-Perceptual Rating of Connected Speech in Aphasiaen_US
dc.typetexten
dc.typeElectronic Thesisen
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelmastersen
dc.contributor.committeememberWilson, Stephen M.en
dc.contributor.committeememberBeeson, Pélagieen
dc.contributor.committeememberBunton, Kateen
dc.contributor.committeememberRising, Kindleen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineSpeech, Language, & Hearing Sciencesen
thesis.degree.nameM.S.en
refterms.dateFOA2018-06-05T15:55:57Z
html.description.abstractPurpose: The goal of this study was to develop a novel tool for connected speech analysis in aphasia, so that spoken output can be characterized in a data-driven and explanatory manner. Method: We designed a multidimensional rating scheme called the Auditory-Perceptual Rating of Connected Speech in Aphasia (APROCSA), in which 27 common features were each rated on a 5-point scale. Three researchers and twelve student clinicians rated 24 connected speech samples from the AphasiaBank database. Results: Ratings conducted by both researchers and student clinicians demonstrated good-to-excellent reliability and strong concurrent validity with AphasiaBank measures derived from transcriptions, clinical measures, and subscores from the Western Aphasia Battery (WAB). Factor analysis revealed that four underlying factors—Paraphasia, Logopenia, Agrammatism, and Motor speech—accounted for 79% of the variance in the connected speech profiles. Examination of individual patient scores showed considerable diversity of factor scores among patients of any given aphasia subtype. Conclusions: The APROCSA proved to be a reliable, valid, and efficient tool for research or clinical purposes. The preliminary findings of the factor analysis suggest a parcellation of non-fluency into three distinct profiles—Logopenia, Agrammatism, and Motor speech—which may occur in conjunction with other non-fluent profiles or with the fluent profile


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