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

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Schaap, Pieter

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AOSIS Open Journals

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.

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Keywords

Psychological ownership, Confirmatory factor analysis, CFA model fit indices, CFA model misspecifications, Small variance priors, Confirmatory factor analysis (CFA), South African psychological ownership questionnaire (SAPOS), Bayesian structural equation modelling (BSEM)

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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.