An integer programming approach to item pool design

An integer programming approach to item pool design is presented that can be used to calculate an optimal blueprint for an item pool to support an existing testing program. The results are optimal in the sense that they minimize the efforts involved in actually producing the items as revealed by current item writing patterns. Also, an adaptation of the models for use as a set of monitoring tools in item pool management is presented. The approach is demonstrated empirically for an item pool designed for the Law School Admission Test (LSAT).