Psychometric evaluation of the Chinese version of the nurse turnover intention scale: a translation and validation study

Abstract

Background Globally, the issue of high nurse turnover rates is prevalent in China. The COVID-19 pandemic exacerbated the attrition rate of nurses. Turnover intention is the most reliable predictor of nurse turnover. However, there is currently a lack of proper evaluation tools in China. This study aimed to translate the Nurses Turnover Intention Scale (NTIS) into Chinese and examine the psychometric characteristics of the Chinese version of the NTIS among clinical nurses in China. Methods Approximately 418 nurses were recruited from three tertiary general hospitals in Jiangxi, Guangdong, and Zhejiang provinces. This study used Brislin’s double-back translation, back-translation, and cross-cultural adaptation methods to translate the scale. Internal consistency, split-half reliability, and test-retest reliability were used to measure the reliability of the Chinese scale version. The validity of the Chinese scale version’s content was evaluated via the Delphi method. Exploratory and confirmatory factor analyses were carried out to evaluate the construct validity of the Chinese scale versions. In exploratory factor analysis, principal component analysis and maximum variance rotation method were used in this study. In the confirmatory factor analysis, Amos 24.0 software was used for analysis. Results The NTIS in Chinese has ten elements: a Cronbach α coefficient of 0.864, a Cronbach α coefficient of 0.852∼0.903 for the three dimensions, and a split-half reliability and test-retest reliability of 0.878 and 0.960, respectively. This indicates that the Chinese version of the NTIS has good internal consistency and time stability. The scale-level content validity index (S-CVI) was 0.957, which indicated that the Chinese version of NTIS had good content validity. The total variance contribution rate was 79.055%, and three common factors were identified via exploratory factor analysis. The examined three-factor structure was confirmed by confirmatory factor analysis, which confirmed that all fit indices were appropriate. Conclusions The Chinese version of the NTIS was appropriate in terms of reliability and validity. This scale can be used to evaluate nurses’ turnover intention, and the outcomes can aid nurse management in designing training initiatives and implementing preventive measures to decrease nurse turnover.