This study aims to determine the Type I error rates and power of S[subscript 1] , S[subscript 2] indices and kappa statistic at detecting copying on multiple-choice tests under various conditions. It also aims to determine how copying groups are created in order to calculate how kappa statistics affect Type I error rates and power. In this study, option-matrices were obtained by using five choices of multiple choice test data generation. R-3.0 software was used for data generation and analysis. The effects of sample size, test length, and source ability level on Type I error rates and also amount of copying on power according to nominal a-levels were investigated. The findings indicated that Type I error rates for S[subscript 1] and S[subscript 2] indices were lower in all conditions, while the same error rates were relatively higher for copy detection using kappa statistics. Kappa statistics were seen to be more powerful than S[subscript 1] and S[subscript 2] indices under all conditions. As sample size, test length, and amount of copying increased, the S[subscript 2] index was also revealed to be more sensitive than the S[subscript 1] index. Type I error rates and power results of the kappa statistics were similar to each other.