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Evaluate deleted loadings with relative fit stats

In the previous exercise, you used several absolute fit statistics to compare the original theory-based CFA to the version with added item loadings. You can also use relative fit statistics like the BIC to compare models like these.

According to the BIC values, which model is preferred?

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.

# Compare BIC values
___(theory_CFA)$___
___(theory_CFA_del)$___
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