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

被引：249

作者：

Hair, Joseph F., Jr. ^{[1
]}

Sarstedt, Marko ^{[2
,3
]}

机构：

[1] Univ S Alabama, Mitchell Coll Business, Mobile, AL USA

[2] Otto von Guericke Univ, Mkt, Magdeburg, Germany

[3] Monash Univ Malaysia, Sch Business & Global Asia 21st Century Res Platf, Selangor, Malaysia

来源：

PROJECT MANAGEMENT JOURNAL | 2019年 / 50卷 / 06期

关键词：

composites; factors; partial least squares (PLS); structural equation modeling (SEM); PROXY VARIABLES; PLS-SEM; PERFORMANCE; RETHINKING;

D O I：

10.1177/8756972819882132

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：619 / 624

页数：6

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