Rotating the extracted factors

According to Martin et al. (2003), the HSQ represents a comprehensive self-report measure of everyday functions of humor. Following Martin et al.’s (2003) theory, humor is directly related to psychosocial well-being, i.e. humor is a social phenomenon and the different humor styles reflect different social traits of the individual, such as social control, status maintenance and group cohesion.

Let's apply some rotation methods offered by the fa() function, in order to check whether Martin et al's (2003) theory cofirms the observations in the HSQ dataset. For completing the exercise, the EFA model object f_hsq and the correlation matrix hsq_polychoric are at your disposal. Recall that hsq_polychoric, was calculated with the mixedCor() function on our initial dataset, hsq.

Browse through the attributes of f_hsq and extract rotation for checking the rotation method used by default for the creation of f_hsq.
Now try Promax, an oblique rotation method, on the correlation matrix hsq_polychoric with 4 factors and assign the result to f_hsq_promax.
Lastly, try Varimax, an orthogonal method, on the correlation matrix hsq_polychoric again with 4 factors, and assign the result to f_hsq_varimax.

Exercise

Rotating the extracted factors

Instructions