Abstract
OBJECTIVE: The purpose of this study is to translate the Grit Psychological Resources Scale (GPRS) for adults into Chinese and to evaluate the reliability and validity of the translated version in a Chinese population. METHODS: In this study, the scale was subjected to transcription, back-translation, and cross-cultural adaptation using Brislin's dual translation-back translation method for pre-testing, to create an initial Chinese version of the Grit Psychological Resources Scale for adults. Convenience sampling was utilized to select 576 study participants from Shandong and Henan, China, who met the inclusion and exclusion criteria, to assess the scale's reliability and validity. The internal consistency and test-retest reliability of the Chinese version of the GPRS were analyzed. Factor analysis was conducted to examine the factor structure of the scale. RESULTS: The Chinese version of the Grit Psychological Resources Scale (GPRS) comprises 4 dimensions and 20 items. The overall Cronbach's alpha coefficient for the questionnaire is 0.956. The split-half reliability of the scale is 0.736, and the test-retest reliability is 0.763. Exploratory factor analysis yielded a Kaiser-Meyer-Olkin (KMO) value of 0.949, and the Bartlett's test of sphericity approximated a chi-square value of 5199.850 (p < 0.001). Principal Axis Factoring (PAF) was used to extract factors with eigenvalues greater than 1 as the main components, revealing a total of 4 principal components that account for 79.297% of the total variance explained. In confirmatory factor analysis, the model fit results were X2/df = 1.473, GFI = 0.92, AGFI = 0.90, NFI = 0.96, IFI = 0.99, TLI = 0.98, CFI = 0.99, RMSEA = 0.04. All model fit indices are within the acceptable range. CONCLUSION: The Chinese version of the Grit Psychological Resources Scale demonstrates good psychometric properties, making it suitable for assessing the psychological resources of grit in middle-aged and older Chinese adults. Future studies are needed to validate the scale in younger populations.