Conducting comprehensive assessments is an essential component of effective treatment. However, such assessments are time-consuming and can be a significant burden for both patients and clinicians. The lead article in this month's issue describes computerized adaptive testing (CAT), which is used to reduce the time needed to administer extensive, fixed-length instruments. In adaptive testing, a person's initial item responses are used to determine a provisional estimate of his or her standing on the trait being measured, which then provides a basis for selection of subsequent items. Thus a small optimal number of items is administered without loss of measurement precision. Robert D. Gibbons, Ph.D., and colleagues used two versions of the Mood and Anxiety Spectrum Scales—the 626-item full-scale version and a CAT version. The sample consisted of 800 participants in outpatient treatment for a mood or anxiety disorder. Use of the CAT version reduced the number of items that needed to be administered by 95%, and the correlation between scores on the two versions was .93 (). In a commentary on this study, George J. Unick, Ph.D., and colleagues highlight the advantages of this emerging methodology. However, they also note that the technology and infrastructure needed to implement CAT are currently beyond the reach of most mental health clinicians and researchers ().