Multi group SEM

Checklist for Structural Equation Modelling

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Checklist for Structural Equation Modelling Here I present a checklist for robust structural equation modeling (SEM) in research articles. 1. Data cleaning 2. Check normality of data 3. Check for response bias 4. Develop a measurement model 4.1. Exploratory factor analysis 4.2. Confirmatory factor analysis 4.3. Correlations among latent factors 4.4. Convergent and divergent validity checks 4.5. Reliability checks 4.6.

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Structural Equation Modelling (SEM) and Multi-group SEM using R

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Structural Equation Modeling (SEM) is a multivariate statistical analysis technique that is used to analyze structural relationships among variables. SEM is the combination of factor analysis and multiple regression analysis. Usually factors are created using multiple observed variables through factor analysis. Those factors are called latent variables. Thereafter, multiple regression analysis is performed on latent variables level, not in observed

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