Abstract
The Understanding America Study (UAS) is a probability-based, nationally representative internet panel. This document describes the methods used for sampling and weighting UAS surveys. UAS members are drawn from multiple sampling frames, and new batches of are added regularly. For most batches, we use an adaptive sampling algorithm, by first drawing zip codes whose distributions complement the distributions in the panel and then randomly sampling addresses from the United States Postal Service’s Delivery Sequence File within the selected zip codes. Accordingly, weights are constructed in two stages. In the first stage, we construct base weights that account for differences in the sampling strategies for different frames. In a second stage, we construct poststratification weights to adjust for selective nonresponse.
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