Computes a 100(1 - alpha)% confidence interval for a difference in
population correlations in a 2-group design. The correlations can be
Pearson, Spearman, partial, semipartial, or point-biserial correlations.
The correlations could also be correlations between two latent factors.
The function requires a point estimate and a 100(1 - alpha)% confidence
interval for each correlation as input. The confidence intervals for each
correlation can be obtained using ci.fisher.
For more details, see Section 2.17 of Bonett (2021, Volume 2)