Abstract
Item‐pool management requires a balancing act between the input of new items into the pool and the output of tests assembled from it. A strategy for optimizing item‐pool management is presented that is based on the idea of a periodic update of an optimal blueprint for the item pool to tune item production to test assembly. A simulation study with scenarios involving different levels of quality of the initial item pool, item writing, and management for a previous item pool from the Law School Admission Test (LSAT) showed that good item‐pool management had about the same main effects on the item‐writing costs and the number of feasible tests as good item writing, but the two factors showed strong interaction effects.
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