Optimal test length for maximum differential prediction

For the case of a single criterion a method is already available for determining the optimal distribution of testing time for a battery of predictors, assuming that intercorrelation, validity, and reliability data are available for predictors of arbitrary lengths. In this article a modification and generalization of the method is presented for the case of differential prediction involving a number of criterion variables. A numerical example is given to illustrate the method, after which the mathematical rationale is outlined.This research was carried out under Contract Nonr-477(08) between the University of Washington and the Office of Naval Research. Most of the computations were carried out by Robert Dear, Charlotte MacEwan, and Donald Mills. Much credit is due the typist, Elizabeth Cross. Supervision of both computational and editorial activities was provided by William Clemans. To each of these able contributors I am deeply grateful.