Discriminant analysis is reviewed in terms of: (1) formulations, (2) interpretations, (3) uses, (4) issues and problems in applications, (5) recent developments and conceptualizations, and (6) general references and computer programs. Four aspects of a discriminant analysis are considered. They are: (1) separation: determining intergroup significant differences in terms of group centroids, (i.e., mean vectors), (2) discrimination: studying group separation with respect to dimensions and to (discriminator) variable contribution to separation, (3) estimation: obtaining estimates of interpopulation distances (between centroids) and of degree of relationship between the response variables and group membership, and (4) classification: setting up rules of assigning an individual to one of the predetermined exhaustive populations. Attention is given to the formal relationship between multiple regression analysis and two group discriminant analysis, as well as non-normal and incomplete data. Recommendations for reporting discriminant analysis results are given. A substantial list of references pertaining to discrimination and classification is supplied. (Author/RC)