Psychometric evaluation of the Connor-Davidson Resilience Scale among Iranian population

• Main Author: Sharif Nia, Hamid
• Publication Date: 2023
• Other Authors: She, Long, Froelicher, Erika Sivarajan, Maroco, J. P., Moshtagh, Mozhgan, Hejazi, Sima
• Format: Article
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10400.12/9178
• topic: Psychological resilience; Questionnaire design; Connor-Davidson Resilience Scale; Psychometric; Iran

Background The resilience construct is considered a personal trait composed of multiple aspects. Connor–Davidson Resilience Scale is a standard tool composed of fve factors and 25 items. This study aimed to determine the psychometric properties of this scale. Methods In this cross-sectional study, after the scale translation, the factorial structural validity was assessed via the confrmatory factor analysis with 70 180 samples. Internal consistency, composite reliability, convergent validity were assessed by calculating Cronbach’s alpha, composite reliability, maximum reliability, and Average Variance Extracted. The discriminant validity was assessed using Heterotrait-monotrait ratio of correlations matrix and also, measure invariance was evaluated. Results The original fve-factor model had good model ft indices but due to low factor loading of item 2 and 20, the model was modifed. The Cronbach’s alpha and composite reliability for four factors were above 0.7 (except for factor 5). The convergent validity for all fve factors were achieved. Between factors 1 with 2 and 4, 2 with 3 and 4 discriminant validity was not established (correlations>0.9) and the results suggested that there might be a secondorder latent construct behind these factors. Therefore, a second-order assessment was performed. The results of the second-order latent construct assessment showed a good goodness-of ft and strong measurement invariance for both men and women. Conclusion The 23-item version of Connor-Davidson Resilience Scale is a reliable and valid scale to measure resilience as a complex construct in the Iran context