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Detecting simulated versus genuine posttraumatic stress disorder.

机译:检测模拟还是真正的创伤后应激障碍。

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摘要

This study examined the ability of various measures to detect malingered posttraumatic stress disorder (PTSD). Multiple measures that varied in methodology---endorsement of unusual symptoms on the Inventory of Problems (IOP), latency times on the Stroop and IOP, performance characteristics regarding symptoms that participants believe might relate to PTSD on the Test of Memory Malingering (TOMM) and IOP, cognitive items on the IOP, and an overall endorsement of PTSD items on the IOP, Dissociative Continuum Scale (DCS) and Detailed Assessment of Posttraumatic Stress (DAPS)---were used. The phenomenon of dissociation was also explored to see if it is more difficult to differentiate PTSD participants with dissociative symptoms from malingerers. It was hypothesized that these multiple measures would be able to discriminate between groups and that dissociation would negatively impact the ability to distinguish between true PTSD, feigned PTSD, and a normal group.; Individuals with PTSD, controls, and simulators were included for participation. To enhance ecological validity, simulators were provided a context trauma, given an external incentive of {dollar}50, and cautioned not to over-exaggerate. In addition, simulators were instructed to spend 30 minutes on the Internet researching about PTSD while being monitored by a computer SPY program, which recorded what websites they searched, in order to gain information about how one goes about faking.; Results indicated that the use of these measures were successfully able to differentiate between groups. Sensitivity, specificity, and positive predictive accuracy all were 100% when discriminating PTSD participants from controls and more importantly, sensitivity of 92.11%, specificity of 90.00%, and positive predictive accuracy of 89.74% was obtained when differentiating between PTSD participants and simulators. The four participants who were misclassified as simulators all obtained high scores on the DCS, which supports the hypothesis that dissociative PTSD participants will be harder to distinguish from malingerers. A high correlation between dissociation and the IOP-PTSD scale and the DAPS Negative Bias scale within the PTSD group is cause for concern. From these results, the best predictors were chosen to create a useable malingering scale for forensic purposes. This scale obtained high classification rates but cross-validation is necessary.
机译:这项研究检查了各种措施来检测患病的创伤后应激障碍(PTSD)的能力。多种方法各不相同-认可问题清单(IOP)上的异常症状,Stroop和IOP上的潜伏时间,与参与者认为可能与PTSD有关的症状表现特征有关的记忆特征(TOMM)和IOP,IOP上的认知项目以及IOP上PTSD项目的总体认可,分离性连续体量表(DCS)和创伤后压力的详细评估(DAPS)。还探讨了分离现象,以判断是否更难区分具有分离症状的PTSD参与者和恶意感染者。假设这些多种措施将能够区分群体,并且分离将对区分真实PTSD,假装PTSD和正常群体的能力产生负面影响。包含PTSD,控件和模拟器的个人也可以参加。为了提高生态效度,模拟器受到了环境的创伤,受到外部激励{50},并警告不要过分夸大。此外,还指示仿真器在互联网上花费30分钟研究PTSD,同时由计算机SPY程序进行监视,该程序记录了他们搜索的网站,以获取有关假冒产品的信息。结果表明,使用这些措施可以成功区分组。当区分PTSD参与者和对照组时,灵敏度,特异性和阳性预测准确性均为100%,更重要的是,区分PTSD参与者和模拟器时,敏感性为92.11%,特异性为90.00%,阳性预测准确性为89.74%。被错误分类为模拟器的四位参与者在DCS上均获得了高分,这支持了以下假设:解离性PTSD参与者将很难与恶意攻击者区分开。 PTSD组内的离解与IOP-PTSD量表和DAPS负偏差量表之间的高度相关性值得关注。从这些结果中,选择了最佳预测变量以创建可用于司法鉴定目的的恶意攻击规模。该量表获得了很高的分类率,但需要交叉验证。

著录项

  • 作者

    Connell, Katie E.;

  • 作者单位

    Alliant International University, San Diego.;

  • 授予单位 Alliant International University, San Diego.;
  • 学科 Psychology Clinical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学心理学、病理心理学;
  • 关键词

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