This paper argues that no single measurement strategy serves all purposes and that applying methods and techniques which allow a variety of data elements to be retrieved and juxtaposed may be an investment in the future. Item response theory, Rasch model, and latent trait theory are all approaches to a single conceptual topic. An abbreviated look at each technique explains its particular application. Standardized achievement tests which are prepared by publishing companies are criticized because they evaluate broad areas of curriculum without measuring the particular curriculum of a school district. With the availability of item banks, many individuals develop local criterion referenced tests. This process is time consuming and produces results which over time may not be desirable. As more data becomes available, the emphasis should shift from a particular measurement technique to the development of schemes to examine data drawn from various sources, reflecting a variety of perspectives. Facing the limitations of any testing technique, recognizing the limitations of data collection processes, and applying additional solutions to information problems promises new frontiers to the measurement community. (JAZ)