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Article
Investigating the M-FAST: psychometric properties and utility to detect diagnostic specific malingering
Systems and Psychosocial Advances Research Center Publications and Presentations
  • Laura S. Guy, University of Massachusetts Medical School
  • Phylissa P. Kwartner, Sam Houston State University
  • Holly A. Miller, Sam Houston State University
UMMS Affiliation
Department of Psychiatry
Date
10-4-2006
Document Type
Article
Medical Subject Headings
Adolescent; Adult; Diagnostic Techniques and Procedures; Female; Humans; Male; Malingering; Mental Disorders; Patient Simulation; *Psychometrics; Southwestern United States
Abstract
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.
Rights and Permissions
Citation: Behav Sci Law. 2006;24(5):687-702. Link to article on publisher's site
Related Resources
Link to Article in PubMed
PubMed ID
17016812
Citation Information
Laura S. Guy, Phylissa P. Kwartner and Holly A. Miller. "Investigating the M-FAST: psychometric properties and utility to detect diagnostic specific malingering" Vol. 24 Iss. 5 (2006) ISSN: 0735-3936 (Linking)
Available at: http://works.bepress.com/laura_guy/1/