Department of Psychology, Towson University.
Psychol Trauma. 2023 Jul;15(5):846-852. doi: 10.1037/tra0001413. Epub 2023 Jan 19.
Individuals with dissociative identity disorder (DID) experience severe and broad-ranging symptoms which can be associated with elevations on measures designed to detect feigning and/or malingering. Research is needed to determine how to distinguish genuine DID from simulated DID on assessment measures and validity scales.
This study examined whether the Miller Forensic Assessment of Symptoms Test (M-FAST), a screening measure of malingering, could differentiate between individuals with DID and DID simulators.
Thirty-five individuals with clinical, validated DID were compared to 88 individuals attempting to simulate DID on the M-FAST. A MANCOVA compared the two groups on total M-FAST score and subscales. Univariate ANCOVA's examined differences between the groups. A series of logistic regressions were conducted to determine whether group status predicted the classification of malingering. Utility statistics evaluated how well the M-FAST discerned clinical and simulated DID.
The M-FAST correctly classified 82.9% of individuals with DID as not malingering when using the suggested cut-off score of six. However, utilizing a cut-off score of seven correctly classified 93.6% of all participants and maintained adequate sensitivity (.96) but demonstrated increased specificity (.89).
The M-FAST shows promise in distinguishing genuine DID when the cut-off score is increased to seven. This study adds to the growing body of literature identifying tests that can adequately distinguish clinical from simulated DID. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
患有分离性身份障碍(DID)的个体经历严重且广泛的症状,这些症状可能与旨在检测伪装和/或装病的测量结果升高有关。需要研究如何在评估措施和效度量表上区分真正的 DID 和模拟的 DID。
本研究检验了米勒法医症状评估测试(M-FAST)是否可以区分 DID 患者和 DID 模拟者。
将 35 名具有临床验证的 DID 患者与 88 名试图在 M-FAST 上模拟 DID 的个体进行比较。MANCOVA 比较了两组的总 M-FAST 评分和子量表。单变量 ANCOVA 检查了两组之间的差异。进行了一系列逻辑回归,以确定组状态是否预测了装病的分类。效用统计评估了 M-FAST 区分临床和模拟 DID 的能力。
当使用建议的 6 分截断值时,M-FAST 正确地将 82.9%的 DID 患者归类为未装病。然而,使用 7 分的截断值可以正确分类 93.6%的所有参与者,同时保持了足够的敏感性(.96),但特异性提高至(.89)。
当将截断值提高到 7 分时,M-FAST 在区分真正的 DID 方面显示出了一定的潜力。这项研究增加了越来越多的文献,证明了可以充分区分临床和模拟 DID 的测试。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。