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Introduction to Confirmatory Factor Analysis and Structural Equation Modeling

Matthew W. Gallagher, Timothy A. Brown

Open publisher page 103 citations

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).

About this research paper

What this paper is about

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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OpenAlex reports 103 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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).

Key concepts: Confirmatory factor analysis, Structural equation modeling, Latent variable, Psychology, Econometrics, Statistics, Mathematics

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