Explicating the South African psychological ownership questionnaire’s confirmatory factor analysis model fit : a Bayesian structural equation modelling approach

dc.contributor.authorSchaap, Pieter
dc.contributor.emailpieter.schaap@up.ac.zaen_ZA
dc.date.accessioned2020-08-25T12:00:45Z
dc.date.available2020-08-25T12:00:45Z
dc.date.issued2019-11
dc.description.abstractORIENTATION : The rigid application of conventional confirmatory factor analysis (CFA) techniques, the overreliance on global model fit indices and the dismissal of the chi-square statistic appear to have an adverse impact on the research of psychological ownership measures. RESEARCH PURPOSE : The purpose of this study was to explicate the South African Psychological Ownership Questionnaire’s (SAPOS’s) CFA model fit using the Bayesian structural equation modelling (BSEM) technique. MOTIVATION FOR THE STUDY : The need to conduct this study derived from a renewed awareness of the incorrect use of the chi-square statistic and global fit indices of CFA in social sciences research. RESEARCH APPROACH/DESIGN AND METHOD : The SAPOS measurement model fit was explicated on two study samples consisting, respectively, of 712 and 254 respondents who worked in various organisations in South Africa. A Bayesian approach to CFA was used to evaluate if local model misspecifications were substantive and justified the rejection of the SAPOS model.MAIN FINDINGS: The findings suggested that a rejection of the SAPOS measurement model based on the results of the chi-square statistic and global fit indices would be unrealistic and unfounded in terms of substantive test theory. PRACTICAL/MANAGERIAL IMPLICATIONS : BSEM appeared to be a valuable diagnostic tool to pinpoint and evaluate local CFA model misspecifications and their effect on a measurement model. CONTRIBUTION/VALUE-ADD : This study showed the importance of considering local misspecifications rather than only relying the chi-square statistic and global fit indices when evaluating model fit.en_ZA
dc.description.departmentHuman Resource Managementen_ZA
dc.description.librarianpm2020en_ZA
dc.description.urihttp://www.sajip.co.za/index.php/sajipen_ZA
dc.identifier.citationSchaap, P. (2019). Explicating the South African Psychological Ownership Questionnaire’s confirmatory factor analysis model fit: A Bayesian structural equation modelling approach. SA Journal of Industrial Psychology/SA Tydskrif vir Bedryfsielkunde, 45(0), a1643. https://doi.org/10.4102/sajip.v45i0.1643.en_ZA
dc.identifier.issn0258-5200 (print)
dc.identifier.issn2071-0763 (online)
dc.identifier.other10.4102/sajip.v45i0.1643
dc.identifier.urihttp://hdl.handle.net/2263/75887
dc.language.isoenen_ZA
dc.publisherAOSIS Open Journalsen_ZA
dc.rights© 2019. The Authors. Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.en_ZA
dc.subjectPsychological ownershipen_ZA
dc.subjectConfirmatory factor analysisen_ZA
dc.subjectCFA model fit indicesen_ZA
dc.subjectCFA model misspecificationsen_ZA
dc.subjectSmall variance priorsen_ZA
dc.subjectConfirmatory factor analysis (CFA)en_ZA
dc.subjectSouth African psychological ownership questionnaire (SAPOS)en_ZA
dc.subjectBayesian structural equation modelling (BSEM)en_ZA
dc.titleExplicating the South African psychological ownership questionnaire’s confirmatory factor analysis model fit : a Bayesian structural equation modelling approachen_ZA
dc.typeArticleen_ZA

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