Structural Equation Modeling: Principles, Processes, and Practices

Sewon Kim, Edward Sturman and Eun Sook Kim

Chapter 11 in The Palgrave Handbook of Research Design in Business and Management, 2015, pp 153-172 from Palgrave Macmillan

Abstract: 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.

Keywords: Structural Equation Modeling; Confirmatory Factor Analysis; Path Analysis; Transformational Leadership; Work Engagement (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-48495-6_11

Ordering information: This item can be ordered from
http://www.palgrave.com/9781137484956

DOI: 10.1057/9781137484956_11

Access Statistics for this chapter

More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().