Exercise

Comparing EFA model fits

In the previous exercise we found that brand_rep_9_EFA_3 performed well on all our measures except one: the one_of_a_kind item loaded poorly. Now let's create a refined version of this scale. We'll also re-check all model fit statistics -- dropping an item can have unintentional effects on overall model fit.

psych and dplyr have been loaded into your environment.

Instructions

100 XP

Using dplyr grammar, select a dataset brand_rep_8 containing all the variables of brand_rep_9 minus one_of_a_kind.
Create a three-factor EFA of brand_rep_8, storing the results as brand_rep_8_EFA_3.
Print the resulting factor loadings.
Print the factor score correlations (score.cor) of brand_rep_8_EFA_3, comparing to those of brand_rep_9_EFA_3.