| 000 | 01084nam a22001577a 4500 | ||
|---|---|---|---|
| 999 |
_c514280 _d514280 |
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| 008 | 201023b ||||| |||| 00| 0 eng d | ||
| 100 |
_a Hair, Joseph F. and Sarstedt, Marko _919723 |
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| 245 | _aFactors versus composites: guidelines for choosing the right structural equation modeling method | ||
| 260 | _aProject Management Journal | ||
| 300 | _a50(6), 2019: p.619-624 | ||
| 520 | _aStructural 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 | ||
| 650 |
_aComposites, Factors, Partial least squares (PLS), Structural equation modeling (SEM) _918837 |
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| 773 | _aProject Management Journal | ||
| 906 | _aPROJECT MANAGEMENT | ||
| 942 | _cAR | ||