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

Mary F. Zhang*, Jeremy F. Dawson, Rex B. Kline

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Covariance-based structural equation modelling (CB-SEM) with reflective measurement has been a popular data analysis tool in organizational 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 organizational and management research comprehend and adhere to the standards and principles behind this advanced analytical technique. In this study, we first devised an evaluation scheme to assess the quality of CB-SEM performed in a study, and then utilized this scheme to examine 144 CB-SEM studies published in 12 top organizational and management journals between 2011 and 2016. The evaluation of the published studies revealed a pressing need for more systematic and standardized approaches to planning, conducting and reporting CB-SEM studies. We discussed the implication of the findings for future work.

Original languageEnglish
Pages (from-to)257-272
Number of pages16
JournalBritish Journal of Management
Volume32
Issue number2
Early online date25 Jun 2020
DOIs
Publication statusPublished - Apr 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 The Authors. British Journal of Management published by John Wiley & Sons Ltd on behalf of British Academy of Management

ASJC Scopus subject areas

  • General Business,Management and Accounting
  • Strategy and Management
  • Management of Technology and Innovation

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