Facial affect recognition accuracy in inidividuals with substance use disorders / by Ashley Buckhout.

Author/creator Buckhout, Ashley
Other author Toriello, Paul.
Other author East Carolina University. Department of Rehabilitation Studies.
Format Theses and dissertations
Publication Info[Greenville, N.C.] : East Carolina University, 2010.
Description54 pages : digital, PDF file.
Supplemental ContentAccess via ScholarShip
Subjects

SeriesECU College of Allied Health Sciences thesis
ECU College of Allied Health Sciences thesis. UNAUTHORIZED
Summary Substance use, like many human behaviors, occurs along a broad continuum from no use to extremely heavy use. Satisfactory interpersonal interaction involves understanding others' facial affect. There is a lack of research on facial affect recognition accuracy in individuals with substance use disorders. This archival study will seek to explore individuals with substance use disorders facial affect recognition accuracy. This archival study was conducted with data from 10 Project Working Recovery consumers. These consumers had met the admission criteria for PWR, including being at least 18 years old, presenting with a substance use disorder, and being psychiatrically and medically stable enough to receive services at the intensive outpatient level. Data was collected as part of Project Working Recovery's clinical service; consumers were informed of the objectives, benefits, and possible inconveniences prior to completing the Diagnostic Analysis of Nonverbal Accuracy 2-Adult Facial Expressions (DANVA2-AF). The DANVA2-AF was administered and consumers were asked to identify the facial affect of 24 stimuli. Demographic data and results from the DANVA2-AF were analyzed to explore the study objective.
General notePresented to the faculty of the Department of Rehabilitation Studies.
General noteAdvisor: Paul Toriello.
General noteTitle from PDF t.p. (viewed December 30, 2010).
Dissertation noteM.S. East Carolina University 2010.
Bibliography noteIncludes bibliographical references.
Technical detailsSystem requirements: Adobe Reader.
Technical detailsMode of access: World Wide Web.

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