Size‐Based Probability Sampling with Constraints on Costs

Karen Brown and Tamara Harney

Abstract

The Occupational Requirements Survey (ORS) is an establishment survey of occupations in the U.S. economy conducted by the Bureau of Labor Statistics (BLS) for the Social Security Administration (SSA). The survey collects information on the vocational preparation and training required to perform an occupation, the cognitive and physical demands of an occupation, and the environmental conditions in which the occupation is performed. In building a quality assurance program for the ORS, we identified key strategies and practices for promoting both high data quality standards and for data fabrication (curbstoning) prevention. This paper discusses these strategies including effective data review processes, data collector training and certification, ongoing data collector engagement, and management engagement.