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

TitleDimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach
Authors
Issue Date2015
PublisherNihon Sangyo Eisei Gakkai. The Journal's web site is located at http://joh.med.uoeh-u.ac.jp
Citation
Journal of Occupational Health, 2015, v. 57 How to Cite?
AbstractObjectives: 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.
Persistent Identifierhttp://hdl.handle.net/10722/214525
ISSN
2015 Impact Factor: 1.446
2015 SCImago Journal Rankings: 0.546

 

DC FieldValueLanguage
dc.contributor.authorFong, TCT-
dc.contributor.authorHo, RTH-
dc.date.accessioned2015-08-21T11:34:44Z-
dc.date.available2015-08-21T11:34:44Z-
dc.date.issued2015-
dc.identifier.citationJournal of Occupational Health, 2015, v. 57-
dc.identifier.issn1341-9145-
dc.identifier.urihttp://hdl.handle.net/10722/214525-
dc.description.abstractObjectives: 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.-
dc.languageeng-
dc.publisherNihon Sangyo Eisei Gakkai. The Journal's web site is located at http://joh.med.uoeh-u.ac.jp-
dc.relation.ispartofJournal of Occupational Health-
dc.titleDimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach-
dc.typeArticle-
dc.identifier.emailFong, TCT: ttaatt@hku.hk-
dc.identifier.emailHo, RTH: tinho@hku.hk-
dc.identifier.authorityHo, RTH=rp00497-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1539/joh.15-0057-OA-
dc.identifier.pmid25958976-
dc.identifier.hkuros246043-
dc.identifier.volume57-
dc.publisher.placeJapan-

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