EIA's approach to information quality

Abstract

Abstract EIA has evolved a unique approach to improving information quality in a decentralized statistical agency. The idea is to give the program offices full line responsibility for the quality of their products, but to rely on a quality assurance group to oversee their efforts. The quality assurance group assures that these efforts are effective through a systematic process of data and model evaluation, applied research to address technical problems, and administrative procedures and standards to promote improved practice. Together the program offices and the quality assurance group keep the agency's leadership fully apprised of quality concerns and actively involved in solving quality problems. After reviewing the overall approach, this article describes the kinds of evaluations that are done and the mix of administrative procedures and standards used to accomplish changes. The article concludes with a discussion of the kinds of problems that are amenable to this approach.