The precision of item parameter estimates can be increased by taking advantage of dependencies between the latent proficiency variable and auxiliary examinee variables such as age, courses taken, and years of schooling. Score gains roughly equivalent to two to six additional item responses can be expected in typical educational and psychological applications. Empirical Bayes computational procedures are presented and illustrated with Armed Services Battery arithmetic reasoning subtest data from the Profile of American Youth survey. (Author/GDC)