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A confirmatory investigation of a job demands-resources model using a categorical estimator

dc.contributor.authorDe Beer, Leon
dc.contributor.authorRothmann, Sebastiaan
dc.contributor.authorPienaar, Jaco
dc.contributor.researchID12848417 - De Beer, Leon Tielman
dc.contributor.researchID10064699 - Rothmann, Sebastiaan
dc.date.accessioned2016-04-19T06:29:59Z
dc.date.available2016-04-19T06:29:59Z
dc.date.issued2012
dc.description.abstractA confirmatory investigation of a job demands-resources model was conducted with alternative methods, in a sample of 15,633 working adults aggregated from various economic sectors. The proposed model is in line with job demands-resources theory and assumes two psychological processes at work which are collectively coined “the dual process.” The first process, the energetic, presents that job demands lead to ill-health outcomes due to burnout. The second process, the motivational, indicates that job resources lead to organizational commitment due to work engagement. Structural equation modelling analyses were implemented with a categorical estimator. Mediation analyses of each of the processes included bootstrapped indirect effects and kappa-squared values to apply qualitative labels to effect sizes. The relationship between job resources and organizational commitment was mediated by engagement with a large effect. The relationship between job demands and ill-health was mediated by burnout with a medium effect. The implications of the results for theory and practice were discussed.en_US
dc.description.urihttp://prx.sagepub.com/
dc.identifier.citationDe Beer, L. et al. 2012. A confirmatory investigation of a job demands-resources model using a categorical estimator. Psychological reports, 111(2):528-544. [http://prx.sagepub.com/]en_US
dc.identifier.issn0033-2941
dc.identifier.issn1558-691X (Online)
dc.identifier.urihttp://hdl.handle.net/10394/16965
dc.identifier.urihttp://dx.doi.org/10.2466/01.03.10.PR0.111.5.528-544
dc.language.isoenen_US
dc.publisherSageen_US
dc.titleA confirmatory investigation of a job demands-resources model using a categorical estimatoren_US
dc.typeArticleen_US

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