Assessing the psychometric properties of the Chinese return-to-work self-efficacy questionnaire using Rasch model analysis.

Self-efficacy is a significant predictor of return to work and affects the confidence of survivors to return to work after illness. The Return-to-work self-efficacy (RTW-SE) questionnaire is a self-report questionnaire to assess confidence in returning to work with good reliability and validity. The aim of this study was to translate and cross-culturally adapt the RTW-SE questionnaire into Chinese and examine the psychometric properties among young and middle-aged stroke survivors using Rasch model analysis. The cross-cultural adaptation and translation procedures followed a dual-translation approach. The psychometric properties of the RTW-SE questionnaire were examined using Rasch model analysis by Winsteps software. The unidimensionality and local independence were analyzed by principal component analysis of the residuals (PCAR) and standardized residual correlations.Category diagnostics were performed for scale function, and the item fit, reliability, and separation were also validated. Item-person maps were used to examine the distribution and matching of item's location and person ability. Finally, the differential item functioning (DIF) was used to measure gender-related group equivalence. A total of 366 participants aged 23-59 years were recruited from three communities in Zhengzhou. The RTW-SE questionnaire demonstrated unidimensionality and a 5-point Likert rating scale was more appropriate to investigate young and middle-aged stroke survivors'self-efficacy. There was a good fit for the items with both person and item reliabilities greater than 0.8 and separation indices of 3.75 and 3.94, respectively. The item location was identified from the item-person map as not covering person ability, but the scale did not have an age-related DIF. The results confirm evidence of appropriate psychometric properties of the RTW-SE questionnaire and can be used as a reliable and validated instrument for measuring self-efficacy to return to work in young and middle-aged Chinese patients with stroke. © 2022. The Author(s).

Citation

Feng Liu, Zhenxiang Zhang, Beilei Lin, Zhiguang Ping, Yongxia Mei. Assessing the psychometric properties of the Chinese return-to-work self-efficacy questionnaire using Rasch model analysis. Health and quality of life outcomes. 2022 Feb 16;20(1):27

Mesh Tags

PMID: 35172850

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