Examine Political Democracy
For this final exercise, you will put together all the steps you've completed so far in building a one-factor model. You will examine the standardized loadings and fit indices for the political democracy model. The model was analyzed with the cfa() function. You will now use the summary() function with both the standardized and fit.measures arguments to view everything together.
In the Std.all column for loadings, you should find that the items appear to measure political democracy well with high numbers close to one. However, when you look at the fit indices, you should find a mix of good and bad values. These results are often common and indicate that the model may fit the data, but also has room for improvement.
This exercise is part of the course
Structural Equation Modeling with lavaan in R
Exercise instructions
- Use the
summary()function on yourpolitics.fitmodel. - Include the argument to view both standardized loadings and fit indices.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load the lavaan library
library(lavaan)
# Load the data and define model
data(PoliticalDemocracy)
politics.model <- 'poldemo60 =~ y1 + y2 + y3 + y4'
# Analyze the model with cfa()
politics.fit <- cfa(model = politics.model, data = PoliticalDemocracy)
# Summarize the model