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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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James C. Anderson
David W. Gerbing
Psychological Bulletin
Northwestern University
Portland State University
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Anderson et al. (Sun,) studied this question.
www.synapsesocial.com/papers/69d6b018f174babf6cab3198 — DOI: https://doi.org/10.1037/0033-2909.103.3.411