Do I have to eliminate variables that are highly correlated before doing an exploratory factor analysis, like it has been discussed for PCA already here?
To specify, some items of my data are highly correlated
r = 0.8, some items stem from a similar/partially same test [Example: Persons had to remember 20 words, they had to repeat them directly after (one item) and many minutes after (second item).] Even though this should capture different cognitive dimensions (working memory and short term memory), they are of course highly correlated. Can I use both such highly correlated items as an exploratory factor analysis? (and yes, they do load highly on the same factor). Is there a cutoff for a correlation between items that is ok?