PTSD's factor structure and measurement invariance across subgroups with differing count of trauma types

PTSD's factor structure and measurement invariance across subgroups with differing count of trauma types
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DOI:
10.1016/j.psychres.2018.03.065
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发表时间:
2018-06-01
影响因子:
11.3
通讯作者:
Armour, Cherie
Armour, Cherie
中科院分区:
医学2区
文献类型:
--
作者:
Contractor, Ateka A.;Calda, Stephanie, V;Armour, Cherie

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为了调查创伤事件(TE)类型的数量对创伤后心理健康的影响,几项研究比较了经历一种或多种创伤后应激障碍(PTSD)的个体的严重程度。然而,这些研究的有效性取决于感兴趣的结构(S)的测量不变性的建立。目前的研究考察了经历一种与多种TE类型的亚组中最优PTSD模型症状群结构的稳定性(通过PTSD DSM-5[PCL-5]的检查表进行评估)。样本包括556名支持至少一个TE(压力生活事件筛选问卷)的大学生(n=556)。使用整个样本的数据,结果表明,与其他模型相比,PCL-5评估的混合模型提供了明显更好的拟合。结果还表明,在支持一种(n=191)和多种TE类型(n=365)的子组中,PCL-5评估的混合模型因素的因素负荷(度量)和截距(标量)是不变的。因此,我们的发现支持了PCL评估的混合模型因素结构(包括子量表严重性分数)在经历一种与多种TE类型的亚组之间的稳定性、适用性和有意义的比较。
To investigate the effect of the count of traumatizing event (TE) types on post-trauma mental health, several studies have compared posttraumatic stress disorder (PTSD) severity between individuals experiencing one versus multiple TE types. However, the validity of these studies depends on the establishment of measurement invariance of the construct(s) of interest. The current study examined the stability of the most optimal PTSD Model symptom cluster constructs (assessed by the PTSD Checklist for DSM-5 [PCL-5]) across subgroups experiencing one versus multiple TE types. The sample included university students (n = 556) endorsing at least one TE (Stressful Life Events Screening Questionnaire). Using data from the entire sample, results suggest that the PCL-5-assessed Hybrid Model provided a significantly better fit compared to other models. Results also indicated invariance of factor loadings (metric), and intercepts (scalar) for the PCL-5-assessed Hybrid Model factors across subgroups endorsing one (n = 191) versus multiple TE types (n = 365). Our findings thus support the stability, applicability, and meaningful comparison of the PCL-assessed Hybrid Model factor structure (including subscale severity scores) across subgroups experiencing one versus multiple TE types.