I am comparing three different measures comprised of 10-20 items each. Each of these measures is actually a short form of a longer 40-item measure and each of the short forms shares some similar items, and thus they are quite similar. I am interested in seeing how each of these short forms are correlated with the same dependent variable.
I come up with r= .54, .56, and .58.
How can I assess whether these correlations are significantly different? It seems doing a simple r-to-z transformation would not be appropriate since the independent variables are quite similar and the dependent variable is in fact the same for all three correlations. As such, all of these *r*s overlap quite a bit.
I found this one paper:
Zou, G. (2007). Toward using confidence intervals to compare correlations. Psychological Methods, 12(4), 399.
But it seems way over my head and I am wondering whether there is an easier way to do it...
Any guidance would be appreciated!