The Use And Misuse Of Structural Equation Modeling In Management Research
The research practice in management research is dominantly based on structural equation modeling, but almost exclusively, and often misguidedly, on covariance-based SEM. We adumbrate theoretical foundations and guidance for the two SEM streams: covariance-based, also known as LISREL, covariance structure analysis, latent variable analysis, etc.; and variance-based SEM, also known as a component-based SEM, PLS, etc. Our conceptual framework discusses the two streams by analysis of theory, measurement model specification, sample and goodness-of-fit. We question the usefulness of Cronbach’s alpha research paradigm and discuss alternatives that are well-established in social science, but not well-known in the management research community. We conclude with discussion of some open questions in management research practice that remain under-investigated and unutilized.
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- Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008.
"Advancing formative measurement models,"
Journal of Business Research,
Elsevier, vol. 61(12), pages 1203-1218, December.
- A. Diamantopoulos & P. Riefler & K.P. Roth, 2008. "Advancing formative measurement models," Post-Print hal-00787421, HAL.
- Heungsun Hwang & Moon-Ho Ho & Jonathan Lee, 2010. "Generalized Structured Component Analysis with Latent Interactions," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 228-242, June.
- P. M. Bentler & Chih-Ping Chou, 1987. "Practical Issues in Structural Modeling," Sociological Methods & Research, , vol. 16(1), pages 78-117, August. Full references (including those not matched with items on IDEAS)
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