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- Publisher Website: 10.1539/joh.15-0057-OA
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Article: Dimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach
Title | Dimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach |
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Authors | |
Keywords | Bayesian Factor structure Informative priors Maximum likelihood Work engagement |
Issue Date | 2015 |
Publisher | Nihon 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? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/214525 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.768 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Fong, TCT | - |
dc.contributor.author | Ho, RTH | - |
dc.date.accessioned | 2015-08-21T11:34:44Z | - |
dc.date.available | 2015-08-21T11:34:44Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Journal of Occupational Health, 2015, v. 57 | - |
dc.identifier.issn | 1341-9145 | - |
dc.identifier.uri | http://hdl.handle.net/10722/214525 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.publisher | Nihon Sangyo Eisei Gakkai. The Journal's web site is located at http://joh.med.uoeh-u.ac.jp | - |
dc.relation.ispartof | Journal of Occupational Health | - |
dc.subject | Bayesian | - |
dc.subject | Factor structure | - |
dc.subject | Informative priors | - |
dc.subject | Maximum likelihood | - |
dc.subject | Work engagement | - |
dc.title | Dimensionality of the 9-item Utrecht Work Engagement Scale revisited: A Bayesian structural equation modeling approach | - |
dc.type | Article | - |
dc.identifier.email | Fong, TCT: ttaatt@hku.hk | - |
dc.identifier.email | Ho, RTH: tinho@hku.hk | - |
dc.identifier.authority | Ho, RTH=rp00497 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1539/joh.15-0057-OA | - |
dc.identifier.pmid | 25958976 | - |
dc.identifier.scopus | eid_2-s2.0-84938860684 | - |
dc.identifier.hkuros | 246043 | - |
dc.identifier.volume | 57 | - |
dc.identifier.isi | WOS:000359515200007 | - |
dc.publisher.place | Japan | - |
dc.identifier.issnl | 1341-9145 | - |