The problem of this study was to develop a model for (1) statistical analysis of arrays of input in urban Compensatory Education programs, and (2) prediction of optimum arrays of such input as an adjunct to decision-making in future program formulation. The ultimate purposes of the research engaged in were: (1) improvement of administrative and curricular strategies in urban education by elimination of effort-duplication and expenditure-duplication; and (2) development of a statistical device with applicability to both decision-oriented and conclusion-oriented research for ongoing program improvement
