Jiang Chen, Ma Haiyan, Luo Yi, Fong Daniel Yee Tak, Umucu Emre, Zheng Huiqiu, Zhang Qiran, Liu Xiao, Liu Xiaoxue, Spruyt Karen, Meng Runtang
School of Public Health, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China.
School of Public Health, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China; Engineering Research Center of Mobile Health Management System, Ministry of Education, Hangzhou 311121, Zhejiang, China.
Gen Hosp Psychiatry. 2023 Sep-Oct;84:194-202. doi: 10.1016/j.genhosppsych.2023.07.008. Epub 2023 Jul 31.
The study aimed to initially assess the measurement properties of the 10-item simplified Chinese version of the Perceived Stress Scale (PSS-C-10) and as a first, assess a longitudinal measurement invariance (LMI).
A longitudinal survey was conducted with a convenient sample of healthcare students using the PSS-C-10. We assessed the PSS-C-10 mainly using composite analytical approaches, including exploratory graph analysis (EGA) and confirmatory factor analysis (CFA) to suggest the best-fit factor structure and assess measurement invariance.
The EGA identified a two-factor structural solution with an accuracy of 98.6% at baseline and 100% at a 7-day follow-up. The CFA subsequently confirmed this structure, with a comparative fit index of 0.963 at baseline and 0.987 at follow-up, Tucker-Lewis index of 0.951 at baseline and 0.982 at follow-up, and root mean square error of approximation of 0.111 at baseline and 0.089 at follow-up. The LMI was supported by the goodness-of-fit indices, and their changes fell within the recommended cut-off range. Additionally, Cronbach's alpha (0.885 at baseline and 0.904 at follow-up), McDonald's omega (0.885 at baseline and 0.902 at follow-up), and an ICC value of 0.816 for 7 days demonstrated the robust reliability of the PSS-C-10.
The PSS-C-10 exhibited a stable two-factor structure with promising LMI and measurement properties.
本研究旨在初步评估中文版10项感知压力量表(PSS-C-10)的测量属性,并首次评估纵向测量不变性(LMI)。
采用PSS-C-10对医学生便利样本进行纵向调查。我们主要使用综合分析方法评估PSS-C-10,包括探索性图形分析(EGA)和验证性因素分析(CFA),以提出最佳拟合因素结构并评估测量不变性。
EGA确定了一个双因素结构解决方案,基线时准确率为98.6%,7天随访时为100%。CFA随后证实了该结构,基线时比较拟合指数为0.963,随访时为0.987;基线时塔克-刘易斯指数为0.951,随访时为0.982;基线时近似均方根误差为0.111,随访时为0.089。拟合优度指数支持LMI,其变化落在推荐的临界范围内。此外,克朗巴哈α系数(基线时为0.885,随访时为0.904)、麦克唐纳ω系数(基线时为0.885,随访时为0.902)以及7天的组内相关系数值0.816表明PSS-C-10具有可靠的信度。
PSS-C-10表现出稳定的双因素结构,具有良好的LMI和测量属性。