Structural equation modeling in practice: A review and recommended two-step approach.
1988/05/01 by James C. Anderson, David W. Gerbing · 233 citations
Decision Sciences · Psychology · Computer Science · #Psychometric Methodologies and Testing #Motivation and Self-Concept in Sports #Advanced Statistical Modeling Techniques
paper · doi:10.1037/0033-2909.103.3.411
Abstract
In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.
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