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Structural Equation Modeling: Principles, Processes, and Practices

In: The Palgrave Handbook of Research Design in Business and Management

Author

Listed:
  • Sewon Kim
  • Edward Sturman
  • Eun Sook Kim

Abstract

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.

Suggested Citation

  • Sewon Kim & Edward Sturman & Eun Sook Kim, 2015. "Structural Equation Modeling: Principles, Processes, and Practices," Palgrave Macmillan Books, in: Kenneth D. Strang (ed.), The Palgrave Handbook of Research Design in Business and Management, chapter 11, pages 153-172, Palgrave Macmillan.
    • Handle: RePEc:pal:palchp:978-1-137-48495-6_11
    DOI: 10.1057/9781137484956_11
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    Cited by:

    1. Wu, Chuanhui & Zhou, Yusheng & Wang, Rui & Huang, Shijing & Yuan, Qinjian, 2022. "Understanding the Mechanism Between IT Identity, IT Mindfulness and Mobile Health Technology Continuance Intention: An Extended Expectation Confirmation Model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

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