Journal article
Evaluating the use of covariance-based structural equation modelling with reflective measurement in organizational and management research: a review and recommendations for best practice
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 458.4KB, Terms of use)
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- Publisher copy:
- 10.1111/1467-8551.12415
Authors
- Publisher:
- Wiley
- Journal:
- British Journal of Management More from this journal
- Volume:
- 32
- Issue:
- 2
- Pages:
- 257-272
- Publication date:
- 2020-06-25
- Acceptance date:
- 2020-05-20
- DOI:
- EISSN:
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1467-8551
- ISSN:
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1045-3172
- Language:
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English
- Keywords:
- Pubs id:
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1249447
- Local pid:
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pubs:1249447
- Deposit date:
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2023-02-10
Terms of use
- Copyright holder:
- Zhang et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 The Authors. British Journal of Management published by John Wiley & Sons Ltd on behalf of British Academy of Management. This is an open access article under the terms of the Creative Commons Attribution License,which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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