Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method

By Joseph F. Hair, Marko Sarstedt. 2019

357 citations recorded by the source corpus.

Structural equation modeling (SEM) is a widely applied and useful tool for project management scholars. In this Thoughtlet article, we critically reflect on the measurement philosophy underlying the two streams of SEM and their adequacy for estimating relationships among concepts commonly encountered in the field (e.g., team performance). We also discuss considerations to ponder when making the choice between the two types of SEM as well as between SEM and regression analysis.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a9bb112a01528ad8d7c982b4f13494a9e82e896b

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In Management Science and Operations Research

  1. Christian M. Ringle
  2. Marko Sarstedt
  3. Joseph F. Hair
  4. Christian Nitzl
  5. Matt C. Howard
  6. Jörg Henseler
  7. Florian Schuberth
  8. Mikko Rönkkö

Citations in the corpus