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Consistency and factorial invariance of the Davidson trauma scale in heterogeneous populations: results from the 2010 Chilean earthquake

机译:不同人群中戴维森创伤量表的一致性和因式不变性:2010年智利地震的结果

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摘要

This investigation seeks to validate an application of a standardized post‐traumatic stress symptom self‐report survey, the Davidson Trauma Scale (DTS), with a large, heterogeneous population of earthquake victims. While previous studies have focused primarily on small samples, this investigation uses a unique dataset to assess the validity of this application of the DTS while accounting for heterogeneity and sample size. We use concurrent validity and reliability analysis tests to confirm the validity of the scale. Further, confirmatory factor analysis is used to test the fit of the data's factor structure against previously established trauma models. Finally, these fit tests are repeated across different mutually exclusive vulnerability subsets of the data in order to investigate how the invariance of the scale is affected by sample heterogeneity. We find that this particular application of the scale is, on the whole, reliable and valid, showing good concurrent validity. However, evidence of variability is found across specific vulnerability subsets, indicating that a heterogeneous sample can have a measurable impact on model fit. © 2016 The Authors International Journal of Methods in Psychiatric Research Published by John Wiley & Sons Ltd
机译:这项调查旨在验证标准化的创伤后应激症状自我报告调查(戴维森创伤量表(DTS))在大量不同种类的地震受害者中的应用。尽管以前的研究主要集中在小样本上,但本次调查使用了一个独特的数据集来评估DTS应用的有效性,同时考虑了异质性和样本量。我们使用并发有效性和可靠性分析测试来确认量表的有效性。此外,验证性因素分析用于针对先前建立的创伤模型测试数据的因素结构的拟合度。最后,在数据的不同互斥脆弱性子集上重复进行这些拟合检验,以调查样本异质性如何影响标度的不变性。我们发现,该量表的特定应用总体上是可靠且有效的,显示出良好的并发有效性。但是,在特定的漏洞子集上发现了可变性的证据,表明异构样本可以对模型拟合产生可测量的影响。 ©2016作者国际精神病学研究方法杂志,作者:John Wiley&Sons Ltd

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