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Detection of malingering in bona fide traumatic brain injury and simulated traumatic brain injury: Combining response time with PVT accuracy results

机译:善意性外伤性脑损伤和模拟性外伤性脑损伤中的不适行为检测:结合反应时间和PVT准确性结果

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摘要

Threats to performance validity test (PVT) security and utility have increased efforts to develop covert measures of performance validity. Response time (RT) is a promising covert measure to distinguish between honest and feigned performance; however, research investigating RT patterns on PVTs is sparse and troubled by methodological problems. This study examined the incremental utility of RT variables on a computerized version of the Test of Memory Malingering (TOMM-C) in distinguishing adults with verified traumatic brain injury (TBI) and healthy adults coached to feign neurocognitive impairment. Participants were 45 adults with moderate to severe TBI, 45 healthy adults coached to feign neurocognitive impairment (SIM), and 61 healthy adult comparisons providing full effort (HC). A number of RT indices differed significantly across groups. RT indices and traditional TOMM-C accuracy scores were evaluated using logistic regression, ROC curve, and Bayesian Information Criterion statistics. Mean RT on Trial 1 and 2 provided incremental predictive value to traditional TOMM-C accuracy in discriminating groups (SIM vs. HC and SIM vs. TBI). Degree of preference for RT indices depended on which groups were being discriminated.
机译:对性能有效性测试(PVT)安全性和实用性的威胁加大了开发隐性性能有效性度量的力度。响应时间(RT)是一种有前途的隐蔽措施,用于区分诚实和假装的表现。但是,有关PVT的RT模式的研究很少,并且存在方法学问题。这项研究检查了记忆变假测试(TOMM-C)的计算机版本中RT变量在区分已验证创伤性脑损伤(TBI)的成年人和受过假神经认知障碍训练的健康成年人中的增量效用。参与者为45名中度至重度TBI成人,45名健康成人假性神经认知障碍(SIM)教练和61名健康成人提供全力(HC)比较。各组之间的许多RT指标差异显着。使用logistic回归,ROC曲线和贝叶斯信息准则统计来评估RT指数和传统的TOMM-C准确性评分。试验1和2的平均RT为区分组(SIM卡与HC和SIM卡与TBI)提供了传统TOMM-C准确性的增量预测值。 RT索引的优先程度取决于要区分的组。

著录项

  • 作者

    Kanser, Robert John.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Clinical psychology.;Neurosciences.
  • 学位 M.A.
  • 年度 2016
  • 页码 59 p.
  • 总页数 59
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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