Diagnostic accuracy in motor speech disorders: an application of signal detection theory

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dc.contributor.committeeChairBogschutz, Renee J.
dc.contributor.committeeChairSchmitt, Mary B.
dc.contributor.committeeMemberAoyama, Kastura
dc.contributor.committeeMemberCorwin, Melinda D.
dc.creatorWhitaker, Melissa C.
dc.date.accessioned2016-11-14T23:08:48Z
dc.date.available2011-02-18T18:59:47Z
dc.date.available2016-11-14T23:08:48Z
dc.date.issued2004-05
dc.description.abstractThe results of this study indicated that participants accurately and reliably differentiated normal from abnormal speech samples. Thus, all groups proficiently identified disordered cases while limiting the number of misdiagnoses; however, some degree of task difficulty was noted and clinical biases were evident. For this research question, group trends indicated that the most experienced group of participants adopted a more lenient diagnostic criterion as compared to the intermediate and novice groups.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2346/8963en_US
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.rights.availabilityUnrestricted.
dc.subjectApraxias -- diagnosisen_US
dc.subjectSpeech Disorders -- diagnosisen_US
dc.subjectSpeech disordersen_US
dc.subjectMovement disordersen_US
dc.subjectAphasiaen_US
dc.subjectSignal detection -- Testingen_US
dc.subjectROC Curveen_US
dc.subjectDysarthria -- diagnosisen_US
dc.subjectApraxiaen_US
dc.subjectDifferentialen_US
dc.subjectDiagnosisen_US
dc.subjectDiagnosisen_US
dc.titleDiagnostic accuracy in motor speech disorders: an application of signal detection theory
dc.typeThesis

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