What is it about?

The paper identifies and discusses the use and misuse of covariance-based and variance-based SEM utilizing common topics such as: first, theory (theory background, relation to theory and research orientation); second, measurement model specification (type of latent construct, type of study, reliability measures, etc.); third, sample (sample size and data distribution assumption); and fourth, goodness-of-fit (measurement of the model fit and residual co/variance).

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Why is it important?

The paper questions the usefulness of Cronbach's a research paradigm and discusses alternatives that are well established in social science, but not well known in the management research community. The author presents short research illustration in which analyzes the four recently published papers using common methodological background. The paper concludes with discussion of some open questions in management research practice that remain under-investigated and unutilized.

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This page is a summary of: The use and misuse of structural equation modeling in management research, Journal of Advances in Management Research, April 2014, Emerald,
DOI: 10.1108/jamr-07-2013-0043.
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