1 Florida State University, Tallahassee, FL, USA.
2 University of Colorado School of Medicine, Denver, CO, USA.
Assessment. 2019 Sep;26(6):963-975. doi: 10.1177/1073191118777635. Epub 2018 May 31.
Suicide rates within the U.S. military are elevated, necessitating greater efforts to identify those at increased risk. This study utilized a multigroup confirmatory factor analysis to examine measurement invariance of the Military Suicide Research Consortium Common Data Elements (CDEs) across current service members ( = 2,015), younger veterans (<35 years; = 377), and older veterans (≥35 years; = 1,001). Strong factorial invariance was supported with adequate model fit observed for current service members, younger veterans, and older veterans. The structures of all models were generally comparable with few exceptions. The Military Suicide Research Consortium CDEs demonstrate at least adequate model fit for current military service members and veterans, regardless of age. Thus, the CDEs can be validly used across military and veteran populations. Given similar latent structures, research findings in one group may inform clinical and policy decision making for the other.
美国军队的自杀率居高不下，因此需要加大力度识别那些风险较高的人群。本研究采用多群组验证性因子分析，检验了现役军人（n=2015）、年轻退伍军人（<35 岁，n=377）和老年退伍军人（≥35 岁，n=1001）中军事自杀研究联合会通用数据元素（CDE）的测量不变性。结果支持了较强的因子不变性，且当前军人、年轻退伍军人和老年退伍军人的模型拟合度良好。除了少数例外，所有模型的结构基本相似。无论年龄大小，军事自杀研究联合会 CDE 对现役军人和退伍军人至少具有足够的模型拟合度。因此，这些 CDE 可在军人和退伍军人人群中有效使用。鉴于相似的潜在结构，一组的研究结果可能为另一组的临床和政策决策提供信息。
