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Relative fit statistics

In this exercise, we'll use the relative fit statistics from two models to compare their fit. When you have two models that both fit well, relative fit statistics can help you decide which model to select. Since the bfi dataset has a strong theory underlying it - the big five personality factors are commonly accepted and studied - we would like to see the theory-based model fit better than our exploratory EFA-based model.

Which model is preferred according to its BIC?

This exercise is part of the course

Factor Analysis in R

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Run a CFA using the EFA syntax you created earlier
EFA_CFA <- sem(___, data = ___)
Edit and Run Code