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假装精神障碍的 PAI 负性扭曲量表的交叉验证:研究报告。

Cross-validation of the PAI Negative Distortion Scale for feigned mental disorders: a research report.

机构信息

Department of Psychology, University of North Texas, Denton, TX 76203, USA.

出版信息

Assessment. 2013 Feb;20(1):36-42. doi: 10.1177/1073191112451493. Epub 2012 Aug 1.

Abstract

A major strength of the Personality Assessment Inventory (PAI) is its systematic assessment of response styles, including feigned mental disorders. Recently, Mogge, Lepage, Bell, and Ragatz developed and provided the initial validation for the Negative Distortion Scale (NDS). Using rare symptoms as its detection strategy for feigning, the usefulness of NDS was examined via a known-groups comparison. The current study sought to cross-validate the NDS by implementing a between-subjects simulation design. Simulators were asked to feign total disability in an effort to secure unwarranted compensation from their insurance company. Even in an inpatient sample with severe Axis I disorders and concomitant impairment, the NDS proved effective as a rare-symptom strategy with low levels of item endorsement that remained mostly stable across genders. For construct validity, the NDS was moderately correlated with the Structured Interview of Reported Symptoms-Second Edition and other PAI feigning scales. For discriminant validity, it yielded a very large effect size (d = 1.81), surpassing the standard PAI feigning indicators. Utility estimates appeared to be promising for both ruling-out (low probability of feigning) and ruling-in (high probability of feigning) determinations at different base rates. Like earlier research, the data supported the creation of well-defined groups with indeterminate scores (i.e., the cut score ± 1 SEM) removed to avoid high rates of misclassifications for this narrow band.

摘要

人格评估量表(PAI)的一个主要优势在于其对反应模式的系统评估,包括伪装的精神障碍。最近,Mogge、Lepage、Bell 和 Ragatz 开发并提供了负向扭曲量表(NDS)的初步验证。该量表采用罕见症状作为其伪装检测策略,通过已知群体比较来检验 NDS 的有效性。本研究通过实施被试间模拟设计来交叉验证 NDS。要求模拟者伪装完全残疾,以从保险公司获得不应得的赔偿。即使在伴有严重轴 I 障碍和伴随损害的住院患者样本中,NDS 也证明是有效的,因为它采用了罕见症状策略,项目认可程度低,且在性别之间基本保持稳定。在结构效度方面,NDS 与报告症状的结构化访谈第二版和其他 PAI 伪装量表中度相关。在判别效度方面,它产生了非常大的效应量(d = 1.81),超过了标准的 PAI 伪装指标。效用估计似乎在不同的基础率下对排除(伪装可能性低)和纳入(伪装可能性高)判断都很有前景。与早期研究一样,数据支持创建明确定义的群体,去除不确定分数(即,分数 ± 1 SEM)以避免对这个狭窄带进行高比例的错误分类。

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