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Structural equation modeling

principles, processes, and practices

Sewon Kim , Edward Sturman , Eun Sook Kim

pp. 153-172

Kim, Sturman, and Kim clearly hold a positivist ideology. They explain how to design a study for a within-group factor comparison unit of analysis research strategy. This is an excellent discussion of the best practices for applying structural equation modeling (SEM). SEM is usually inductive in principle, although confirmatory factor analysis (the first phase of SEM) is deductive since it measures the reliability of an a priori construct using the sample data. They use applied examples drawn from their own studies.

Publication details

DOI: 10.1057/9781137484956_11

Full citation:

Kim, S. , Sturman, E. , Sook Kim, E. (2015)., Structural equation modeling: principles, processes, and practices, in K. D Strang (ed.), The Palgrave handbook of research design in business and management, Dordrecht, Springer, pp. 153-172.

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