What to do with Contradictory Data? Approaches to the Integration of Multiple Malingering Measures

Rosenfeld, Barry; Green, Debbie; Pivovarova, Ekaterina; Dole, Tia; Zapf, Patricia A.

doi:10.1080/14999013.2010.499559

Cited by 11 publications

(7 citation statements)

References 25 publications

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“…In the current study, rates of Indeterminate classifications in the patient and simulation samples were lower (17.0% and 19.5%, respectively) than those reported in the SIRS-2 manual (23%). Although researchers have begun looking at optimal methods of combining measures of feigning in psychiatric settings (e.g., Rosenfeld, Green, Pivovarova, Dole, & Zapf, 2010), results remain preliminary, providing little guidance as to which measures would best enhance classification accuracy over the SIRS-2. More typically, the SIRS is recommended as a follow-up to be given in cases of possible feigning as identified by screening measures.…”

Section: Discussionmentioning

confidence: 99%

New and Improved? A Comparison of the Original and Revised Versions of the Structured Interview of Reported Symptoms

2012

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The current study evaluated the accuracy of the Structured Interview of Reported Symptoms, Second Edition (SIRS-2) in a criterion-group study using a sample of forensic psychiatric patients and a community simulation sample, comparing it to the original SIRS and to results published in the SIRS-2 manual. The SIRS-2 yielded an impressive specificity rate (94.3%) that exceeded that obtained using the original SIRS scoring method (92.0%) and approached that observed in the SIRS-2 normative data (97.5%). However, changes in scoring resulted in markedly lower sensitivity rates of the SIRS-2 (36.8% among forensic patients and 66.7% among simulators) compared with the SIRS (47.4% and 75.0%, respectively). The removal of the Total Score from the SIRS-2 further hindered identification of feigning. Analyses also evaluated the additive value of the new RS-Total and MT Index scales in the SIRS-2. Implications of these results for forensic psychologists are discussed.

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Section: Discussionmentioning

confidence: 99%

New and Improved? A Comparison of the Original and Revised Versions of the Structured Interview of Reported Symptoms

2012

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“…However, besides relying on the validity scales of the KMHQ and the HPH for the detection of feigning psychosis, specific detection scales, such as Ds of the MMPI-2, should be developed in the future. Moreover, for the MMPI-2, detection models, which consisted of algorithms integrating individual indices, have been advocated to increase the accuracy of detecting feigned mental disorders (Meyers et al, 2002;Rosenfeld, Green, Pivovarova, & Dole, 2010;Steffan, Morgan, Lee, & Sellbom, 2010). The development of the detection models of the KMHQ and the HPH might be another future research direction.…”

Section: Discussionmentioning

confidence: 99%

Detection of Feigning Psychosis With Multiscale Personality Inventories: A Simulation Design Pilot Study in Taiwan

2017

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Assessing feigning psychosis is extremely important in forensic psychological assessment. This pilot study investigated the utility of three multiscale personality inventories, namely, the Chinese Minnesota Multiphasic Personality Inventory (MMPI-2), the Ko Mental Health Questionnaire (KMHQ), and the Health-Personality-Habit Inventory (HPH), in the detection of feigning psychosis in Taiwan. It was hypothesized that the above three inventories were effective in the detection of feigning psychosis. The sample consisted of 70 participants (students and community members; with 19 men and 51 women), with mean age of 22.01 years (SD = 3.86), who were randomly assigned to two different groups: feigning psychosis and honestly responding. The KMHQ, the HPH, and the Chinese MMPI-2 were administered to each participant in this sequential order. Altogether 16 scales from these inventories were statistically analyzed using MANOVA, t test, Receiver Operating Characteristic (ROC) analysis, and discriminant analysis. Of these 16 scales, the scores of 14 scales differed significantly between the feigning psychosis and honestly responding groups. In addition to the exploration of the best discriminant variables, the effect size, best cutoff score, classification accuracy rate, sensitivity, and specificity of the scales of the above three inventories in discriminating participants between feigning psychosis and honestly responding were presented, respectively. The results of this study supported the utility of the Chinese MMPI-2, the KMHQ, and the HPH in the detection of feigning psychosis.

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“…Nevertheless, the eight indices were significantly inter‐correlated ( r = .590–.981, p < .001, two‐tailed). Detection models that consist of algorithms integrating individual indices have been advocated to increase the accuracy of detecting feigned mental disorders (Meyers et al, ; Rosenfeld, Green, Pivovarova, Dole, & Zapf, ; Steffan et al, ). Future research might examine these detection models in relation to the Chinese MMPI‐2.…”

Section: Discussionmentioning

confidence: 99%

A pilot study on the Chinese Minnesota Multiphasic Personality Inventory‐2 in detecting feigned mental disorders: Simulators classified by using the Structured Interview of Reported Symptoms

et al. 2017

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The Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is often used in forensic psychological/psychiatric assessment. This was a pilot study on the utility of the Chinese MMPI-2 in detecting feigned mental disorders. The sample consisted of 194 university students who were either simulators (informed or uninformed) or controls. All the participants were administered the Chinese MMPI-2 and the Structured Interview of Reported Symptoms-2 (SIRS-2). The results of the SIRS-2 were utilized to classify the participants into the feigning or control groups. The effectiveness of eight detection indices was investigated by using item analysis, multivariate analysis of covariance (MANCOVA), and receiver operating characteristic (ROC) analysis. Results indicated that informed-simulating participants with prior knowledge of mental disorders did not perform better in avoiding feigning detection than uninformed-simulating participants. In addition, the eight detection indices of the Chinese MMPI-2 were effective in discriminating participants in the feigning and control groups, and the best cut-off scores of three of the indices were higher than those obtained from the studies using the English MMPI-2. Thus, in this sample of university students, the utility of the Chinese MMPI-2 in detecting feigned mental disorders was tentatively supported, and the Chinese Infrequency Scale (ICH), a scale developed specifically for the Chinese MMPI-2, was also supported as a valid scale for validity checking.

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What to do with Contradictory Data? Approaches to the Integration of Multiple Malingering Measures

Cited by 11 publications

References 25 publications

New and Improved? A Comparison of the Original and Revised Versions of the Structured Interview of Reported Symptoms

New and Improved? A Comparison of the Original and Revised Versions of the Structured Interview of Reported Symptoms

Detection of Feigning Psychosis With Multiscale Personality Inventories: A Simulation Design Pilot Study in Taiwan

A pilot study on the Chinese Minnesota Multiphasic Personality Inventory‐2 in detecting feigned mental disorders: Simulators classified by using the Structured Interview of Reported Symptoms

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