Introduction to Confirmatory Factor Analysis and Structural Equation Modeling

Matthew W. Gallagher · Timothy A. Brown

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Psychometric Methodologies and Testing Statistical Methods and Bayesian Inference Mental Health Research Topics

Abstract

Confirmatory factor analysis (CFA) is a powerful and flexible statistical technique that has become an increasingly popular tool in all areas of psychology including educational research. CFA focuses on modeling the relationship between manifest (i.e., observed) indicators and underlying latent variables (factors).

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1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2012Principles and Practice of Structural Equation Modeling 1998Principles and Practice of Structural Equation Modeling 1992Alternative Ways of Assessing Model Fit 1990Comparative fit indexes in structural models.1980Significance tests and goodness of fit in the analysis of covariance structures.2002Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance 2007Confirmatory factor analysis for applied research

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