Bootstrap Confidence Intervals for a Coefficient Alpha Difference between Two Independent Groups

The performance of bootstrap confidence interval (CI) methods for estimating the difference between coefficient alpha from two independent groups is investigated.  Simulation results indicate that the normal theory bootstrap CI is robust to non-normal distributions, outperforming the percentile and bias corrected and accelerated CIs.