This symposium consists of five papers and presents some recent developments in adaptive testing which have applications to several military testing problems. The overview, by James R. McBride, defines adaptive testing and discusses some of its item selection and scoring strategies. Item response theory, or item characteristic curve theory, is also described. In the second paper, James B. Sympson explicates the role of latent trait theory in measurement for criterion prediction and in criterion referenced measurement. C. David Vale then discusses the use of adaptive testing procedures to make ability classification decisions (i.e., cutting score decisions). In the fourth paper Steven M. Pine argues that a major problem in current efforts to develop less biased tests is an over-reliance on classical test theory. Item characteristic curve theory is offered as a more appropriate measurement model. In the final paper by Isaac I. Bejar, two relatively recent developments in psychometric theory, the assessment of partial knowledge and research in adaptive testing, are reviewed. (RC)