In order to evaluate standard setting procedures, apart from the more commonly applied approach of simply comparing the derived standards or failure rates across various techniques, this study investigated the errors of classification associated with the contrasting groups procedures. Monte Carlo simulations were employed to produce masters/nonmasters score distributions sampled from normal and left-skewed parent score distribution populations. In addition, three levels of score distribution overlap (noise) between the master/nonmaster subpopulations were simulated to examine the effects of this phenomenon on errors of classification. (Author)