The alignment between a test and the content domain it measures represents key evidence for the validation of test score inferences. Although procedures have been developed for evaluating the content alignment of linear tests, these procedures are not readily applicable to computerized adaptive tests (CATs), which require large item pools and do…

Requirements for adaptive testing are reviewed, and the reasons implementation has taken so long are explored. The adaptive test is illustrated through the Stanford-Binet Intelligence Scale of L. M. Terman and M. A. Merrill (1960). Current adaptive testing is tied to the development of item response theory. (SLD)

Some cautions are sounded for converting a linearly administered test to an adaptive format. Four areas are identified in which practices broadly used in traditionally constructed tests can have adverse effects if thoughtlessly adopted when a test is administered in an adaptive mode. (SLD)

Application of computer-assisted testing (CAT) to measurement in the Portland (Oregon) Public Schools is described. Focus is on MicroCAT's developmental subsystem, which allows creation of items and test design specifications. Changes in CAT procedures allowing MicroCAT to function in existing testing systems and uses/limitations of MicroCAT…

The utility of item response theory (IRT) models in computerized adaptive tests is considered. Measurement questions that have been answered using IRT, and those that might be overlooked because of IRT, are reviewed. Areas in which fuller use of IRT could improve adaptive testing practices are identified. (SLD)

The development of a hypothetical testing program designed to provide optimum information about student achievement is chronicled. Computer adaptive testing and performance testing are postulated as part of the program. What optimum information really means is discussed. Optimum is only optimal when theory and application are balanced. (SLD)