1. Now you can conduct and interpret EFAs and CFAs!
All right, that's it for this course!
2. Things you can do
Along the way, you learned several skills that will help you through the process of developing, refining, and reporting results from a measure.
You can conduct both uni- and multi-dimensional EFAs, which help you explore the structure of your data when you don't have a theory.
You also learned how to conduct CFAs to confirm your model, either from a structure based on EFA results or from a structure based on a theory.
Finally, you learned how to interpret both absolute and relative fit statistics to
compare models and make adjustments if needed.
3. More information
As you may have guessed, there's a lot more to factor analysis than we had the time to cover here. For more information, check out the documentation for the psych and sem packages or pick up a book on multivariate analysis. I recommend Applied Multivariate Statistical Analysis by Johnson & Wichern, which will walk you through the mathematics of these analyses while maintaining a focus on application.
The next level to this sort of analysis is structural equation modeling, which allows you to estimate hierarchical relationships between latent variables. There's a great DataCamp course that you can take next if you're interested!
4. Congrats!
So, finally, congrats, and thanks for taking this course.