Work-Related Stress Questionnaire: confirmatory factor analysis for construct validation by the PHRASI study

Eur Rev Med Pharmacol Sci. 2024 Jan;28(1):392-401. doi: 10.26355/eurrev_202401_34928.

Abstract

Objective: The purpose of this study is to validate the 13-item version of the Work-Related Stress Questionnaire (WRSQ) on a representative sample of Italian public health residents.

Materials and methods: The WRSQ was administered as part of the Public Health Residents' Anonymous Survey in Italy (PHRASI) from 14 June to 26 July 2022. Collinearity between each questionnaire item was assessed with Kendall's τ statistic. The latent factors identified associating similar items based on the authors' observations were workplace, job demand, support and unpleasant workplace. Goodness-of-fit was assessed with confirmatory factor analysis calculating: Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), Standardized Root-Mean-Residual (SRMR). Cronbach's alpha (α) and Omega McDonald (ω) were calculated to evaluate the reliability of the questionnaire. R 4.2.2 was used to perform the analyses.

Results: 379 Public Health residents (58% women) responded to the questionnaire. No significant collinearity was found between the items (τ range -0.31 to 0.49). Confirmatory Factor Analysis showed CFI = 0.975, TLI = 0.967, RMSEA = 0.041 and SRMR = 0.051. Internal consistency of the WRSQ Total Score was α = 0.80 and ω = 0.85.

Conclusions: Although validated in a sectorial subpopulation of healthcare workers, the WRSQ proved to be an excellent tool for assessing work-related stress. Unpleasant workplace latent factors showed lower factor loading and internal consistency than others. This could be due to the fact that topics investigated with unpleasant workplace items (e.g., abuse and discrimination) are experienced on a less regular basis than the ones assessed through the other items.

MeSH terms

  • Factor Analysis, Statistical
  • Female
  • Humans
  • Italy
  • Male
  • Occupational Stress*
  • Psychometrics
  • Public Health*
  • Reproducibility of Results
  • Surveys and Questionnaires