The Importance of Structure Coefficients in Structural Equation Modeling Confirmatory Factor Analysis

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179 citations0/0 files storedEducational and Psychological Measurement

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

A general linear model (GLM) framework is employed to suggest that structure coefficients ought to be interpreted in structural equation modeling confinmatory factor analysis (CFA) studies in which factors are correlated. The computation of structure coefficients is explained. Two heuristic data sets are used to make the discussion concrete. The benefits from using CFA structure coefficients are illustrated using two additional studies.

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1979Review of Psychometric theory (2nd ed.).1964Conjectures and Refutations: The Growth of Scientific Knowledge.1989LISREL 7 : a guide to the program and applications 1989Evaluation of goodness-of-fit indices for structural equation models.2000Annual Meeting of the American Educational Research Association 1989A Primer of Lisrel: Basic Applications and Programming for Confirmatory Factor Analytic Models 1986A theory and method of love.1996Factor Analytic Evidence for the Construct Validity of Scores: A Historical Overview and Some Guidelines

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