Exercise

Refining the brand reputation survey

Let's continue working with our brand_rep_9 survey. This is a nine-item, Likert-style survey measuring the "brand reputation" latent construct. From the previous checkpoint, we believe this to be a three-dimension dataset. Let's inspect the relevant diagnostic statistics to decide on the best number of items and factors. psych and dplyr have been loaded into your environment. A factor loading of greater than 1, while rare, is not necessarily an issue.

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Store the output of a three-factor EFA on brand_rep_9 as brand_rep_9_EFA_3. (Factor loadings greater than 1, while rare, are not necessarily an issue.)