Dimensionality of the 9‐item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach

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  • Fong Ted C. T.
    Centre on Behavioral Health, The University of Hong Kong
  • Ho Rainbow T. H.
    Centre on Behavioral Health, The University of Hong Kong Department of Social Work & Social Administration, The University of Hong Kong

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  • Dimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach

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Objectives: The aim of this study was to reexamine the dimensionality of the widely used 9-item Utrecht Work Engagement Scale using the maximum likelihood (ML) approach and Bayesian structural equation modeling (BSEM) approach. Methods: Three measurement models (1-factor, 3-factor, and bi-factor models) were evaluated in two split samples of 1,112 health-care workers using confirmatory factor analysis and BSEM, which specified small-variance informative priors for cross-loadings and residual covariances. Model fit and comparisons were evaluated by posterior predictive p-value (PPP), deviance information criterion, and Bayesian information criterion (BIC). Results: None of the three ML-based models showed an adequate fit to the data. The use of informative priors for cross-loadings did not improve the PPP for the models. The 1-factor BSEM model with approximately zero residual covariances displayed a good fit (PPP>0.10) to both samples and a substantially lower BIC than its 3-factor and bi-factor counterparts. Conclusions: The BSEM results demonstrate empirical support for the 1-factor model as a parsimonious and reasonable representation of work engagement.(J Occup Health 2015; 57: 353–358)

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