title: A comparative analysis of MMPI-2 malingering detection models among inmates.
abstract: There are several strategies, or models, for combining the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) validity indicators to detect malingered psychiatric symptoms. Some scholars have recommended that an elevated F (Infrequency) score should be followed by the inspection of Fp (Infrequency-Psychopathology), whereas a recent meta-analysis indicated that Fp and Ds (Gough's Dissimulation Scale) should be examined. For correctional settings, one model of malingering suggests that F, Fp, and F - K (Gough's Dissimulation Index) should be inspected for one or more elevated scores. Although a large body of research has examined malingering detection with the MMPI-2, this research has typically focused on the contributions of individual validity indicators to differentiate malingered from genuine psychiatric symptoms. Therefore, the current study compared these models of malingering detection on the MMPI-2. Inmate simulators were contrasted with inmates who were hospitalized for psychiatric treatment. Results from classification and logistic regression analyses supported the sequential use of F and Fp in malingering detection.
authors.affiliation: Texas Tech University, Lubbock, TX, USA. jarrod.steffan@hotmail.com
authors.forename: Jarrod S
authors.initials: JS
authors.lastname: Steffan
authors.forename: Robert D
authors.initials: RD
authors.lastname: Morgan
authors.forename: Jeahoon
authors.initials: J
authors.lastname: Lee
authors.forename: Martin
authors.initials: M
authors.lastname: Sellbom
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D003657:Decision Making; D006801:Humans; D016015:Logistic Models; D008950:MMPI; D008297:Male; D008306:Malingering / Q000175:diagnosis* / Q000523:psychology; D008960:Models, Psychological; D015233:Models, Statistical; D011329:Prisoners / Q000523:psychology* / Q000706:statistics & numerical data; D011330:Prisons / Q000706:statistics & numerical data*; D011594:Psychometrics; D012044:Regression Analysis; D014481:United States