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Structural equation modeling in practice: A review and recommended two-step approach.

1988/05/01 by James C. Anderson, David W. Gerbing · 40,027 citations
Computer Science · Decision Sciences · Engineering · Mathematics · Medicine · Psychology · #Advanced Statistical Modeling Techniques #Calculus (dental) #Computer science #Econometrics #Engineering #Machine learning #Management science #Mathematics #Medicine #Motivation and Self-Concept in Sports #Orthodontics #Psychology #Psychometric Methodologies and Testing #Structural equation modeling

paper · doi:10.1037/0033-2909.103.3.411

published in Psychological Bulletin 103(3), 411-423 (American Psychological Association)

openalex publication_date 1988/05/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

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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