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Examining the Dimensionality, Reliability, and Invariance of the Chinese Version of the Resilience Scale-14: A Multicenter Cross-Sectional Survey in Chinese Junior Nurses

Weidong Zhao,Ting Shu,Yue Ma,Xuemei Wei,Cairong Zhu, Liping Peng,Lihong Zhao, Qin Zhang

Frontiers in psychiatry(2022)

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摘要
BackgroundThis study aimed to present the psychometric properties (dimensionality, reliability, and invariance) of the Chinese 14-Item Resilience Scale (RS-14) within Chinese register nurses (RNs) with less than 3 years work experiences. And we aimed to compare the fit of a unidimensional model and a bifactor model.Materials and methodsThis multicenter cross-sectional survey was conducted from August to September in 2019. A total of 7,231 registered nurses from 90 hospitals were recruited. Data was anonymously obtained through online questionnaires. Both reliability and validity of Chinese RS-14 were assessed. The confirmatory factor analyses (CFA) were used to compare the fit of two different factor structures of the RS-14 (unidimensional model vs. a bifactor model). Moreover, multigroup CFA (MGCFA) were applied to evaluate the measurement invariance (MI) across sociodemographic parameters (gender, educational level, marital status, and et al.).DesignCross-sectional quantitative analyses.ResultsOur study confirmed that the bifactor model presented the best fit within Chinese nurses (CFI = 0.924, TLI = 0.909, RMSEA = 0.095, SRMR = 0.043), and found strong factorial invariance across gender, marital status, and status of receiving standardized training. The reliability of RS-14 was high with a Cronbach’s alpha coefficient of 0.939. Moreover, RS-14 was positively correlated with the social support and was negatively correlated with workplace bullying.ConclusionThis is the first study to explore the latent factor structure for the RS-14 among Chinese RNs and evaluated MI across a series of sociodemographic variables. Based on our findings, the Chinese version RS-14 is both valid and reliable.
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关键词
14-item Resilience Scale (RS-14),Chinese nurses,confirmatory factor analysis (CFA),measurement invariance,cross-sectional
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