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dc.contributor.authorGuy, Laura S.
dc.contributor.authorKwartner, Phylissa P.
dc.contributor.authorMiller, Holly A.
dc.date2022-08-11T08:10:23.000
dc.date.accessioned2022-08-23T17:06:58Z
dc.date.available2022-08-23T17:06:58Z
dc.date.issued2006-10-04
dc.date.submitted2011-01-06
dc.identifier.citationBehav Sci Law. 2006;24(5):687-702. <a href="http://dx.doi.org/10.1002/bsl.706">Link to article on publisher's site</a>
dc.identifier.issn0735-3936 (Linking)
dc.identifier.doi10.1002/bsl.706
dc.identifier.pmid17016812
dc.identifier.urihttp://hdl.handle.net/20.500.14038/45226
dc.description.abstractThis study examined the ability of the M-FAST to differentiate a group of undergraduate students simulating one of four DSM-IV diagnoses (n = 190; schizophrenia, major depressive disorder, bipolar disorder, and posttraumatic stress disorder) and a clinical comparison sample drawn from previous M-FAST studies comprising individuals with the same diagnosis (n = 142). Across all diagnostic conditions, the simulators obtained higher M-FAST total scores than the clinical comparisons, and the rare combinations scale was equal or superior to the total score at differentiating the groups. The M-FAST was most efficient at distinguishing feigned from bona fide schizophrenia. Although the internal consistency of the total score was high (alpha = 0.88), inter-item correlations were lower than values reported in previous research. Lastly, given the importance of base rate considerations in the evaluation of diagnostic instruments, it was notable that the M-FAST was able to identify malingerers even at relatively low base rates.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=17016812&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1002/bsl.706
dc.subjectAdolescent
dc.subjectAdult
dc.subjectDiagnostic Techniques and Procedures
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.subjectMalingering
dc.subjectMental Disorders
dc.subjectPatient Simulation
dc.subject*Psychometrics
dc.subjectSouthwestern United States
dc.subjectHealth Services Research
dc.subjectMental and Social Health
dc.subjectPsychiatric and Mental Health
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.titleInvestigating the M-FAST: psychometric properties and utility to detect diagnostic specific malingering
dc.typeJournal Article
dc.source.journaltitleBehavioral sciences and the law
dc.source.volume24
dc.source.issue5
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_cmhsr/325
dc.identifier.contextkey1719530
html.description.abstract<p>This study examined the ability of the M-FAST to differentiate a group of undergraduate students simulating one of four DSM-IV diagnoses (n = 190; schizophrenia, major depressive disorder, bipolar disorder, and posttraumatic stress disorder) and a clinical comparison sample drawn from previous M-FAST studies comprising individuals with the same diagnosis (n = 142). Across all diagnostic conditions, the simulators obtained higher M-FAST total scores than the clinical comparisons, and the rare combinations scale was equal or superior to the total score at differentiating the groups. The M-FAST was most efficient at distinguishing feigned from bona fide schizophrenia. Although the internal consistency of the total score was high (alpha = 0.88), inter-item correlations were lower than values reported in previous research. Lastly, given the importance of base rate considerations in the evaluation of diagnostic instruments, it was notable that the M-FAST was able to identify malingerers even at relatively low base rates.</p>
dc.identifier.submissionpathpsych_cmhsr/325
dc.contributor.departmentDepartment of Psychiatry
dc.source.pages687-702


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