The use of the Positive and Negative Syndrome Scale to assess psychiatric symptomatology in a mixed-diagnosis sample

Persistent Link:
http://hdl.handle.net/10150/289728
Title:
The use of the Positive and Negative Syndrome Scale to assess psychiatric symptomatology in a mixed-diagnosis sample
Author:
Stewart, Valerie Michelle
Issue Date:
2001
Publisher:
The University of Arizona.
Rights:
Copyright © 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.
Abstract:
The Positive and Negative Syndrome Scale (PANSS) has long been widely used to assess the extent and severity of psychiatric symptomatology in research studies with samples diagnosed with schizophrenia, particularly in pharmacological studies. Recently it was used in a federally funded multisite study with a mixed-diagnosis sample of persons with serious mental illness. Though numerous factor analytic studies of the PANSS (both exploratory and confirmatory) have been undertaken in samples with schizophrenia, its use in mixed-diagnosis samples characteristic of those encountered in research on psychiatric rehabilitation has not been much studied. This paper reports on a series of confirmatory factor analyses undertaken to explore the fit of various models found in the schizophrenia literature to data from the more heterogeneous multisite sample. Two of the models tested attained marginal fit to the data (using the conventional fit criteria of CFI > .90 and RMSEA), however, both failed to represent a broad range of symptoms because they incorporated only a few PANSS items. An alternative model was developed using all 30 PANSS items and tested using parceling to improve item fit. This 5 factor model demonstrated adequate fit to the data. These findings are discussed in light of the need for a model that fits a mixed-diagnosis sample.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Health Sciences, Mental Health.; Psychology, Clinical.; Psychology, Psychometrics.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Psychology
Degree Grantor:
University of Arizona
Advisor:
Sechrest, Lee

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleThe use of the Positive and Negative Syndrome Scale to assess psychiatric symptomatology in a mixed-diagnosis sampleen_US
dc.creatorStewart, Valerie Michelleen_US
dc.contributor.authorStewart, Valerie Michelleen_US
dc.date.issued2001en_US
dc.publisherThe University of Arizona.en_US
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_US
dc.description.abstractThe Positive and Negative Syndrome Scale (PANSS) has long been widely used to assess the extent and severity of psychiatric symptomatology in research studies with samples diagnosed with schizophrenia, particularly in pharmacological studies. Recently it was used in a federally funded multisite study with a mixed-diagnosis sample of persons with serious mental illness. Though numerous factor analytic studies of the PANSS (both exploratory and confirmatory) have been undertaken in samples with schizophrenia, its use in mixed-diagnosis samples characteristic of those encountered in research on psychiatric rehabilitation has not been much studied. This paper reports on a series of confirmatory factor analyses undertaken to explore the fit of various models found in the schizophrenia literature to data from the more heterogeneous multisite sample. Two of the models tested attained marginal fit to the data (using the conventional fit criteria of CFI > .90 and RMSEA), however, both failed to represent a broad range of symptoms because they incorporated only a few PANSS items. An alternative model was developed using all 30 PANSS items and tested using parceling to improve item fit. This 5 factor model demonstrated adequate fit to the data. These findings are discussed in light of the need for a model that fits a mixed-diagnosis sample.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectHealth Sciences, Mental Health.en_US
dc.subjectPsychology, Clinical.en_US
dc.subjectPsychology, Psychometrics.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplinePsychologyen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorSechrest, Leeen_US
dc.identifier.proquest3031363en_US
dc.identifier.bibrecord.b42283449en_US
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