Silk-Eglit Graham M, Lynch Julie K, McCaffrey Robert J
Department of Psychology, University at Albany, State University of New York, Albany, NY, USA Veteran's Administration San Diego Healthcare System, San Diego, CA, USA
Albany Neuropsychological Associates, Guilderland, NY, USA.
Arch Clin Neuropsychol. 2016 May;31(3):231-45. doi: 10.1093/arclin/acv108. Epub 2016 Jan 20.
The Victoria Symptom Validity Test (VSVT) is one of the most accurate performance validity tests. Previous research has recommended several cutoffs for performance invalidity classification on the VSVT. However, only one of these studies used a known groups design and no study has investigated these cutoffs in an exclusively mild traumatic brain injury (mTBI) medico-legal sample. The current study used a known groups design to validate VSVT cutoffs among mild traumatic brain injury litigants and explored the best approach for using the multiple recommended cutoffs for this test. Cutoffs of <18 Hard items correct, <41 Total items correct, an Easy - Hard items correct difference >6, and <5 items correct on any block yielded the strongest classification accuracy. Using multiple cutoffs in conjunction reduced classification accuracy. Given convergence across studies, a cutoff of <18 Hard items correct is the most appropriate for use with mTBI litigants.
维多利亚症状效度测试（VSVT）是最准确的表现效度测试之一。先前的研究已经推荐了几种用于VSVT表现无效分类的临界值。然而，这些研究中只有一项采用了已知群体设计，且没有研究在单纯的轻度创伤性脑损伤（mTBI）法医学样本中调查这些临界值。本研究采用已知群体设计来验证轻度创伤性脑损伤诉讼当事人中VSVT的临界值，并探索使用该测试多个推荐临界值的最佳方法。正确回答的硬项目少于18个、正确回答的总项目少于41个、难易项目正确回答的差值大于6以及任何一组中正确回答的项目少于5个的临界值产生了最强的分类准确性。同时使用多个临界值会降低分类准确性。鉴于各项研究结果趋同，正确回答的硬项目少于18个的临界值最适合用于mTBI诉讼当事人。
