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Abstract:
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The Consumer Expenditure Survey (CE) program subscribes to the "fitness for use" definition of survey data quality. Thus, CE is interested in developing metrics to monitor survey data quality beyond Total Survey Error components, to include dimensions such as timeliness, accessibility, and interpretability. In addition, CE recognizes a comprehensive and systematic approach for evaluating the impacts of survey design or processing interventions. In support of these objectives, the CE has embarked a multi-year development effort to establish a framework that recognizes the interdependence between the quality of survey products and the processes that produce them, and thus encompasses all stages of the survey life cycle. CE envisions this framework to include the routine production of Data Quality Profiles as the primary reporting format, to serve as an integrated single source of information on the quality of CE data for internal CE staff, with a subset of that information for release to external users of CE data. In this presentation, we share the challenges encountered in the initial stages of this development process, report on interim progress, and thoughts for next steps.
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