![]() ![]() ABS has become increasingly popular because it reduces the costs of producing frames for face-to-face surveys and reduces costs and improves response rates over random digit dial surveys by using mail contacts and mail or web response modes. The authors propose a substitution approach when a drop unit is sampled-in other words, replacing the unit with a similar nearby unit in a non–drop point building.Īddress-based sampling (ABS) in the United States usually refers to sample surveys of residential addresses from a frame of addresses derived from US Postal Service (USPS) files (AAPOR, 2016). ![]() Alternatively, excluding drop units results in coverage error, which can be considerable for some subnational estimates. This limitation leads to distorted selection probabilities, renders the use of cash incentives by mail impractical, and precludes traditional methods for mail nonresponse follow-up, thus resulting in higher nonresponse. The problem with drop units for address-based surveys with mail contacts is that, without names or unit identifiers, there is no way to control which unit receives the various mailings. In Queens, New York, for example, drop units constitute 27 percent of residential housing units. Drop units comprise less than 2 percent of all residential addresses in the United States (McMichael, 2017), but they tend to be concentrated in certain large cities. For the most part, address-based sampling frames list the number of units at a drop point address but will not contain information identifying specific units. ![]() Residential drop units are the individual housing units served by the drop point address. A drop point is a single US Postal Service (USPS) delivery point or receptacle that services multiple businesses, families, or households (USPS, 2017). The purpose of this paper is to introduce the concept of drop unit substitution inĪddress-based samples for mail and web surveys. ![]()
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