This study presents an overview of Monte Carlo studies in discriminant analysis. Some common questions about the use of Monte Carlo techniques are answered through a brief literature review of articles on discriminant analysis in which Monte Carlo methods are used. The articles cover many research points, such as comparing error rate estimates, evaluating different discriminant rules, and studying outlier influence. The study may be of assistance to researchers who are interested in conducting Monte Carlo studies, especially in choosing the values of the parameters of factors under consideration. Recommendations are made for the choices of discriminant analysis parameters in a Monte Carlo study. Five tables present results from the literature review. (Contains 36 references.) (Author/SLD)