Evaluating the Use of Covariance-based Structural Equation Modelling with Reflective Measurement in Organisational and Management Research: A Review and Recommendations for Best Practice

Mary Zhang*, Jeremy Dawson, Rex B. Kline

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

23 Downloads (Pure)

Abstract

Covariance-based structural equation modelling (CB-SEM) with reflective measurement has been a popular data analysis tool in organisational and management research. Extensive studies and guidelines have been published on what constitutes its best practice. What is much less known is the extent to which CB-SEM users in organisational and management research comprehend and adhere to the standards and principles behind this advanced analytical technique. In this study, we firstly devised an evaluation scheme to assess the quality of CB-SEM performed in a study, and then utilised this scheme to examine 144 CB-SEM studies published in 12 top organisational and management journals between 2011 and 2016. The evaluation of the published studies revealed a pressing need for more systematic and standardised approaches of planning, conducting and reporting CB-SEM studies. We discussed the implication of the findings for future work.
Original languageEnglish
Number of pages16
JournalBritish Journal of Management
Early online date25 Jun 2020
DOIs
Publication statusE-pub ahead of print - 25 Jun 2020

Structured keywords

  • SPS Centre for the Study of Poverty and Social Justice

Keywords

  • methodological guideline
  • covariance-based structural equation modelling
  • reflective measurement
  • organisational and management research

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