Measurement invariance of the Hopkins Symptoms Checklist: a novel multigroup alignment analytic approach to a large epidemiological sample across eight conflict-affected districts from a nation-wide survey in Sri Lanka.
Measurement invariance of the Hopkins Symptoms Checklist: a novel multigroup alignment analytic approach to a large epidemiological sample across eight conflict-affected districts from a nation-wide survey in Sri Lanka.
复制标题
DOI：
10.1186/s13031-017-0109-x
复制
发表时间：
2017
影响因子：
3.6
通讯作者：
Silove D
中科院分区：
文献类型：
--
作者：
Tay AK;Jayasuriya R;Jayasuriya D;Silove D
对齐方法，一种新的心理测量方法，代表了一个更灵活的程序，建立测量不变性在地理上，种族，或语言上不同的样本，特别是在大型流行病学调查。虽然霍普金斯症状自评量表（HSCL-25）已被广泛用于评估焦虑和抑郁症状，但当该工具在大规模全国调查中跨地区应用时，调查结果的可比性仍然存在问题。本研究是第一个在该领域应用对齐方法来测试的结构和测量不变性的焦虑和抑郁维度的HSCL-25之间的斯里兰卡亚群（n = 8456）分层的地理区域，过去暴露于冲突的水平，和种族组成。多组CFA分析产生了非收敛模型，需要对模型进行大量修改。因此，应用多组对齐分析，结果支持HSCL-25在8个（严重和中度）受冲突影响的地区的双因子结构和测量不变性。基于良好拟合的几何模型的比对分析产生了22.22%的度量非不变性和5.88%的标量非不变性（两者均在既定的25%阈值下）。双因素模型优于三方模型和其他模型。与焦虑项目相比，抑郁项目显示出更高水平的跨地区度量非不变性。我们的研究结果表明，应用对齐方法来测试的结构和不变性的HSCL在不同种族的人口生活在斯里兰卡受冲突影响的地区的方法的可行性。需要进一步的研究来更严格地审查种族和语言因素。本文的在线版本（doi：10.1186/s13031-017-0109-x）包含补充材料，可供授权用户使用。
The alignment method, a novel psychometric approach, represents a more flexible procedure for establishing measurement invariance in geographically, ethnically, or linguistically diverse samples, especially in large epidemiological surveys. Although the Hopkins Symptoms Checklist (HSCL-25) has been used extensively in the field to assess anxiety and depressive symptoms, questions remain about the comparability of findings when the instrument is applied across regions in large-scale national surveys. The present study is the first in the field to apply the alignment method to test the structure and measurement invariance of the anxiety and depression dimensions of the HSCL-25 amongst Sri Lankan subpopulations (n = 8456) stratified by geographical regions, levels of past exposure to conflict, and ethnic composition. Multigroup CFA analysis yielded non-converging models requiring substantial modifications to the models. As a result, multigroup alignment analysis was applied and the results supported the bifactorial structure and measurement invariance of the HSCL-25 across eight (severe and moderate) conflict-affected districts. The alignment analysis based on a good-fitting configural model yielded a metric non-invariance of 22.22% and scalar non-invariance of 5.88% (both under the established 25% threshold). The bifactorial model outperformed the tripartite and other models. In comparison to the anxiety items, the depressive items showed higher levels of metric non-invariance across districts. Our findings demonstrate the methodological feasibility of applying the alignment method to test the structure and invariance of the HSCL across ethnically diverse populations living in conflict-affected districts in Sri Lanka. Further studies are needed to examine ethnicity and language factors more critically. The online version of this article (doi:10.1186/s13031-017-0109-x) contains supplementary material, which is available to authorized users.