Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, Iowa.
Department of Applied Human Sciences, Kansas State University, Manhattan, Kansas.
Mil Psychol. 2023 Nov-Dec;35(6):521-528. doi: 10.1080/08995605.2022.2131187. Epub 2022 Oct 21.
As policymakers and the U.S. military continue to place an emphasis on the resilience of servicemembers, it is critical to utilize psychometrically sound and valid scales to measure resilience. Using two independent samples of Army soldiers-in-training, this study explored the measurement of resilience in the Army Study to Assess Risk and Resilience among Servicemembers (Army STARRS) New Soldier Study Component (NSS). Exploratory factor analysis (EFA) was used to identify the factor structure of a measure of resilience within the Army STARRS NSS. Confirmatory factor analysis (CFA) was then used to confirm the factor structure, then internal reliability was assessed. Convergent validity of the identified resilience factors was examined using two-tailed bivariate correlations. The EFA identified a three-factor structure of a measure of resilience. The CFA confirm the first-order three-factor structure of , and . Each factor was uniquely distinct from measures of the likelihood of generalized anxiety disorder and major depressive disorder, lifetime stressful events, and social network. Findings highlights the utility of a three-factor aggregate measure of resilience in the Army STARRS NSS and provide practitioners with a more nuanced picture of the role of resilience among soldiers-in-training.
随着政策制定者和美国军方继续强调军人的适应力,利用具有良好心理测量学效度和有效的量表来衡量适应力至关重要。本研究使用了两个独立的陆军新兵训练样本,探讨了陆军风险和适应力评估研究(Army STARRS)新兵研究部分(NSS)中适应力的测量。探索性因素分析(EFA)用于确定 Army STARRS NSS 中适应力量表的因素结构。然后使用验证性因素分析(CFA)来确认因素结构,然后评估内部可靠性。使用双尾二变量相关性检验确定的适应力因素的收敛效度。EFA 确定了适应力量表的三因素结构。CFA 确认了 的一阶三因素结构, 。每个因素与广泛性焦虑障碍和重度抑郁症、终生应激事件和社交网络的测量指标都有独特的区别。研究结果强调了 Army STARRS NSS 中三因素综合适应力量表的效用,并为从业者提供了更细致的新兵适应力角色图。