Authors
Tasbeen Akhtar Sheekha, Noelle Rohatinsky, Md Erfanul Hoque, Juan Nicolás Peña-Sánchez
Published in
Inquiry : a journal of medical care organization, provision and financing. Volume 63. Pages 469580261499002. Epub Oct 19, 2026.
Abstract
IntroductionDifferent scales to measure the job satisfaction of health care providers (HCPs) are available, including the Job Satisfaction Scale (JSS), which has a 16-item and a 10-item version. We aimed to test the reliability and validity of both the 16-item and 10-item JSS and evaluate the bi-dimensional structure among Saskatchewan HCPs.MethodsA cross-sectional study was conducted with an online survey among registered nurses, physicians, and respiratory therapists in Saskatchewan, Canada. We evaluated the JSS's reliability by computing Cronbach's alpha coefficients (α) and the convergent validity by calculating Pearson correlation coefficients between standardized JSS scores and the overall item of job satisfaction. A series of confirmatory factor analyses (CFA) was conducted to evaluate the underlying factor structure of the JSS, including one-factor and two-factor models for both the 16-item and 10-item versions. In addition, a bifactor model was tested.ResultsAmong 1,497 HCPs, 1,454 participants had complete responses on the 16-item JSS, and 1,468 participants had complete responses on the 10-item JSS. Both the 16-item (α=0.89) and 10-item (α=0.83) versions showed good internal consistency. The Pearson correlation coefficients between the 16-item and 10-item JSS scores and the overall item of job satisfaction were strongly positive and statistically significant, respectively, r=0.76 (p<0.001) and r=0.74 (p<0.001). The 10-item bifactor JSS model showed the best fit compared to the alternative models.ConclusionThis study supports the reliability and construct validity of the JSS among HCPs in Saskatchewan, Canada. The findings support the use of the JSS among HCPs and consider a bifactor solution.
PMID:
42895907
Bibliographic data and abstract were imported from PubMed on 20 Oct 2026.
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