Explicating the South African psychological ownership questionnaire’s confirmatory factor analysis model fit : a Bayesian structural equation modelling approach
dc.contributor.author | Schaap, Pieter | |
dc.contributor.email | pieter.schaap@up.ac.za | en_ZA |
dc.date.accessioned | 2020-08-25T12:00:45Z | |
dc.date.available | 2020-08-25T12:00:45Z | |
dc.date.issued | 2019-11 | |
dc.description.abstract | ORIENTATION : 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.department | Human Resource Management | en_ZA |
dc.description.librarian | pm2020 | en_ZA |
dc.description.uri | http://www.sajip.co.za/index.php/sajip | en_ZA |
dc.identifier.citation | Schaap, 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.issn | 0258-5200 (print) | |
dc.identifier.issn | 2071-0763 (online) | |
dc.identifier.other | 10.4102/sajip.v45i0.1643 | |
dc.identifier.uri | http://hdl.handle.net/2263/75887 | |
dc.language.iso | en | en_ZA |
dc.publisher | AOSIS Open Journals | en_ZA |
dc.rights | © 2019. The Authors. Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. | en_ZA |
dc.subject | Psychological ownership | en_ZA |
dc.subject | Confirmatory factor analysis | en_ZA |
dc.subject | CFA model fit indices | en_ZA |
dc.subject | CFA model misspecifications | en_ZA |
dc.subject | Small variance priors | en_ZA |
dc.subject | Confirmatory factor analysis (CFA) | en_ZA |
dc.subject | South African psychological ownership questionnaire (SAPOS) | en_ZA |
dc.subject | Bayesian structural equation modelling (BSEM) | en_ZA |
dc.title | Explicating the South African psychological ownership questionnaire’s confirmatory factor analysis model fit : a Bayesian structural equation modelling approach | en_ZA |
dc.type | Article | en_ZA |