Classification accuracy of the rare symptoms and symptom combinations scales of the Structured Inventory of Malingered Symptomatology in three archival samples
| Autor: | Tiffany N. Truong, Randy K. Otto, John F. Edens |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Malingering Adolescent media_common.quotation_subject Population MEDLINE Psychodiagnostic Typologies Prison PsycINFO Sensitivity and Specificity Young Adult Arts and Humanities (miscellaneous) medicine Humans Cognitive Dysfunction Generalizability theory Students education General Psychology 0505 law media_common Psychological Tests education.field_of_study Mental Disorders Prisoners 05 social sciences Reproducibility of Results Middle Aged medicine.disease Mental illness United States Psychiatry and Mental health 050501 criminology Female Independent Living Self Report Psychology Law Clinical psychology |
| Zdroj: | Law and Human Behavior. 44:167-177 |
| ISSN: | 1573-661X 0147-7307 |
| DOI: | 10.1037/lhb0000361 |
| Popis: | Objective The Structured Inventory of Malingered Symptomatology (SIMS; Widows & Smith, 2005) is a 75-item self-report measure intended to screen for potentially feigned symptoms of mental illness and/or cognitive impairment. We investigated the classification accuracy of 2 new detection scales (Rare Symptoms [RS] and Symptom Combinations [SC]) developed by Rogers, Robinson, and Gillard (2014) that appeared useful in identifying simulated mental disorder in their derivation sample of psychiatric inpatients. Hypothesis We hypothesized that the rates of classification accuracy Rogers et al. reported for these 2 scales would generalize to other samples in which the utility of the SIMS previously has been investigated. Method We computed RS and SC scores from archival SIMS data collected as part of 3 research projects investigating malingering detection methods: (a) general population prison inmates and inmates in a prison psychiatric unit receiving treatment for mental disorder (N = 115), (b) college students (N = 196), and (3) community-dwelling adults (N = 48). Results Results supported the global classification accuracy of RS and SC but the suggested cut-score for both scales (>6) produced poor sensitivity. Lower potential cut-offs did, however, improve sensitivity to feigning somewhat while not excessively diminishing specificity. Conclusion These results emphasize the importance of generalizability research when investigating the clinical utility of forensic mental health assessment methods, particularly specific decision rules used to classify individuals into discrete categories. (PsycInfo Database Record (c) 2020 APA, all rights reserved). |
| Databáze: | OpenAIRE |
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