Assessment of the psychometric properties of the traditional Chinese version of the cancer survivors' self-efficacy scale
- PMID: 39177718
- PMCID: PMC11343950
- DOI: 10.1186/s41155-024-00317-y
Assessment of the psychometric properties of the traditional Chinese version of the cancer survivors' self-efficacy scale
Abstract
Background: The reliability and validity of the traditional Chinese version of the Cancer Survivors' Self-Efficacy Scale (CS-SES-TC) has not been assessed.
Objective: To assess the psychometric properties of the Traditional Chinese version of the CS-SES-TC.
Methods: Participants were recruited from the outpatient departments of a hospital in Taiwan. A single questionnaire was administered to 300 genitourinary cancer survivors. The scales included in the initial questionnaire were the CS-SES-TC, the General Self-Efficacy Scale, the Center for Epidemiologic Studies Depression Scale (CES-D), and the Functional Assessment of Cancer Therapy-General scale (FACT-G). Data obtained from 300 survivors were used to confirm the structure through confirmatory factor analysis (CFA).
Results: The CFA results indicate that the 11-item CS-SES-TC is consistent with the original scale. Furthermore, it was identified as a unidimensional scale, with the model showing acceptable goodness-of-fit (CFI = 0.99, TLI = 0.97). The factor loading of each item in the CS-SES-TC was above 0.6 and had convergent validity. Based on multiple-group CFA testing, the change (ΔCFI) between the unconstrained and constrained models was ≤ 0.01, indicating that measurement invariance holds for gender. The participants' CS-SES-TC scores were positively correlated with their FACT-G scores and negatively correlated with their CES-D scores. The scales exhibited concurrent validity and discriminant validity. The CS-SES-TC had a Cronbach's α in the range of .97-.98.
Conclusion: The CS-SES-TC had acceptable reliability and validity. Healthcare workers can use this scale for ongoing assessment of the cancer-related self-efficacy of cancer survivors.
Keywords: Cancer; Psychometrics; Reliability; Self-efficacy; Self-management; Validity.
© 2024. The Author(s).
Conflict of interest statement
No conflict of interest.
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