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).
a set of probit or logistic regression equations for binary or ordered categorical observed dependent variables, a set of multinomial logistic ... Single or multiple group analysis Missing data ... observations from the analysis that have missing values on …
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