Conducting a multidimensional EFA
Now that you've examined the eigenvalues and scree plot to find the data-driven recommended number of factors, you can get down to actually running the multidimensional EFA. In Chapter 1, you ran a unidimensional EFA by using the fa() function. To run a multidimensional EFA, you'll want to use the nfactors argument to specify the number of factors desired.
As in the previous exercises, you'll want to be sure to run this analysis on the bfi_EFA dataset you created earlier.
This exercise is part of the course
Factor Analysis in R
Exercise instructions
- Run a multidimensional EFA using the
fa()function and the number of factor recommended by the scree plot. - View your model object in the console.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Run the EFA with six factors (as indicated by your scree plot)
EFA_model <- ___(bfi_EFA, ___)
# View results from the model object
___