Psychometric Properties of the Connor-Davidson Resilience Scale (CD-RISC) in Chinese University Students
Abstract
Abstract Objective Psychological resilience plays an important role in helping university students adapt to stress and adversity. The Connor-Davidson Resilience Scale-10 (CD-RISC-10) is a widely used instrument for assessing psychological resilience. This study aimed to comprehensively evaluate the psychometric properties of the CD-RISC-10 in Chinese university students using a multi-method approach combining exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and Rasch analysis. Methods A total of 608 undergraduate students were recruited from two universities in Sichuan province, China, using a convenience sampling method. The study was conducted in two phases: Sample A (n = 252) was used for exploratory factor analysis (EFA), and Sample B (n = 356) was used for confirmatory factor analysis (CFA), and Rasch model analysis. Results EFA supported a unidimensional structure, explaining 55.69% of the total variance, with factor loading ranging from 0.66 to 0.82. CFA confirmed the single-factor model with good fit indices (\(\:\text{CFI}\) = 0.97, \(\:\text{TLI}\) = 0.96, \(\:\text{RMSEA}\) = 0.07, \(\:\text{SRMR}\) = 0.04). The scale demonstrated excellent reliability across multiple indicators: Cronbach’s \(\:{\alpha\:}\) = 0.91, composite reliability (\(\:\text{CR}\)) = 0.92, McDonald’s \(\:{\omega\:}\) = 0.89, and Rasch item reliability = 0.97. Rash analysis confirmed unidimensionality, with the first contrast eigenvalue of (1.9 p
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