Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method-Reference-Cited by-同舟云学术

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

Published:2019-12 Issue:6 Volume:50 Page:619-624
ISSN:8756-9728
Container-title:Project Management Journal
language:en
Short-container-title:Project Management Journal

Author:

Hair Joseph F.¹,Sarstedt Marko²³

Affiliation:

1. Mitchell College of Business, University of South Alabama, Mobile, AL, USA

2. Otto-von-Guericke University Magdeburg, Magdeburg, Germany

3. School of Business and Global Asia in the 21st Century Research Platform, Monash University Malaysia, Selangor, Malaysia

Abstract

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.

Publisher

SAGE Publications

Subject

Management of Technology and Innovation,Strategy and Management,Business and International Management

Link

http://journals.sagepub.com/doi/pdf/10.1177/8756972819882132

Reference40 articles.

1. Predictors of the emergence of transformational leadership in virtual decision teams

2. Latent Variables in Psychology and the Social Sciences

3. The Difficult but Necessary Task of Developing a Specific Project Team Research Agenda

4. Manifest variable path analysis: Potentially serious and misleading consequences due to uncorrected measurement error.

5. Proxy Variables and Specification Bias

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