Select Specific Fit Indices
You can also compare models by using the AIC or ECVI fit indices, rather than the anova() function. These fit indices are very useful if your models include different manifest variables. When comparing sets of AIC or ECVI values, the best model would have the smallest fit index. The saved models from the previous exercise have been loaded for you.
This exercise is part of the course
Structural Equation Modeling with lavaan in R
Exercise instructions
- Use
fitmeasures()to calculate the fit indices for each model separately. - Select only the
aicandecvifit indices to shorten the output.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Analyze the original model
epi.fit <- cfa(model = epi.model, data = epi)
# Find the fit indices for the original model
# Analyze the updated model
epi.fit1 <- cfa(model = epi.model1, data = epi)
# Find the fit indices for the updated model