Factors versus composites: guidelines for choosing the right structural equation modeling method
By: Hair, Joseph F. and Sarstedt, Marko
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Material type: 
BookPublisher: Project Management Journal Description: 50(6), 2019: p.619-624 .Subject(s): Composites, Factors, Partial least squares (PLS), Structural equation modeling (SEM)
In:
Project Management Journal Summary: 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.- Reproduced
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 50(6), 2019: p. 619-624 | Available | AR123311 |
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.- Reproduced
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