Transcription of CHAPTER 5 EXAMPLES: CONFIRMATORY FACTOR …
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CHAPTER 5 EXAMPLES: CONFIRMATORY FACTOR …
Examples: CONFIRMATORY FACTOR analysis And Structural Equation Modeling 55 CHAPTER 5 EXAMPLES: CONFIRMATORY FACTOR analysis AND STRUCTURAL EQUATION MODELING CONFIRMATORY FACTOR analysis (CFA) is used to study the relationships between a set of observed variables and a set of continuous latent variables. When the observed variables are categorical, CFA is also referred to as item response theory (IRT) analysis (Fox, 2010; van der Linden, 2016). CFA with covariates (MIMIC) includes models where the relationship between factors and a set of covariates are studied to understand measurement invariance and population heterogeneity. These models can include direct effects, that is, the regression of a FACTOR indicator on a covariate in order to study measurement non-invariance. Structural equation modeling (SEM) includes models in which regressions among the continuous latent variables are estimated (Bollen, 1989; Browne & Arminger, 1995; Joreskog & Sorbom, 1979).
The TITLE command is used to provide a title for the analysis. The title is printed in the output just before the Summary of Analysis. DATA: FILE IS ex5.1.dat; The DATA command is used to provide information about the data set to be analyzed. The FILE option is used to specify the name of the file that contains the data to be analyzed, ex5.1.dat.
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