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Classification accuracy of the rare symptoms and symptom combinations scales of the Structured Inventory of Malingered Symptomatology in three archival samples.
Law and Human Behavior ( IF 2.4 ) Pub Date : 2020-04-01 , DOI: 10.1037/lhb0000361
John F Edens 1 , Tiffany N Truong 1 , Randy K Otto 2
Affiliation  

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).

中文翻译:

在三个档案样本中,不良症状的结构化清单的罕见症状和症状组合量表的分类准确性。

目的《结构不良的症状清单》(SIMS; Widows&Smith,2005年)是一项75项自我报告措施,旨在筛查精神疾病和/或认知障碍的潜在伪装症状。我们调查了由Rogers,Robinson和Gillard(2014)开发的2种新的检测量表(稀有症状[RS]和症状组合[SC])的分类准确性,这些量表对于识别精神病患者住院样本中的模拟精神障碍很有用。假设我们假设分类准确率罗杰斯等。这两个量表的报告将推广到之前已经研究过SIMS效用的其他样本。方法我们根据3个研究犯罪行为检测方法的研究项目的一部分收集的档案SIMS数据计算了RS和SC分数:(a)普通监狱犯人和接受精神障碍治疗的监狱精神病院的犯人(N = 115),(b )大学生(N = 196),以及(3)社区居住的成年人(N = 48)。结果结果支持了RS和SC的整体分类精度,但建议的两种量表(> 6)的得分均得出较差的敏感性。然而,较低的潜在临界值确实提高了假装的敏感性,同时又没有过度降低特异性。结论这些结果强调了在研究法医精神健康评估方法的临床效用时,泛化研究的重要性,特别是用于将个人分为离散类别的特定决策规则。(PsycINFO数据库记录(c)2020 APA,保留所有权利)。
更新日期:2020-04-01
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