Structural equations modeling: Fit Indices, sample size, and advanced topics

2009/10/03 by Dawn Iacobucci · 14 citations
Decision Sciences · Psychology · #Behavioral Health and Interventions #Behavioral and Psychological Studies #Psychometric Methodologies and Testing

paper · doi:10.1016/j.jcps.2009.09.003

openalex publication_date 2009/10/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

Abstract This article is the second of two parts intended to serve as a primer for structural equations models for the behavioral researcher. The first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model. In this second article, advanced issues are addressed, including fit indices and sample size, moderators, longitudinal data, mediation, and so forth.

Citations

• A General Structural Equation Model with Dichotomous, Ordered Categorical, and Continuous Latent Variable Indicators
• Comparative fit indexes in structural models.
• The Effect of Sampling Error on Convergence, Improper Solutions, and Goodness-of-Fit Indices for Maximum Likelihood Confirmatory Factor Analysis
• Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory

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• Evaluating the Klontz Money Script Inventory-Revised (KMSI-R): Factorial Validity, Internal Consistency, and Measurement Invariance with a Diverse Sample

Related

• A Brief Guide to Structural Equation Modeling
• Structural equation modeling in practice: A review and recommended two-step approach.
• Sample Size Requirements for Structural Equation Models
• An Introduction to Structural Equation Modeling
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