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Address-Based Sampling (ABS) as an 'Alternative' to RDD: A Test in California
Matt Jans
UCLA Center for Health Policy Research
David Grant
UCLA Center for Health Policy Research
Royce Park
UCLA Center for Health Policy Research
Annie Lee
UCLA Center for Health Policy Research
Sherman Edward
Westat
John Rauch
Westat
Ismael Flores-Cervantes
Westat
Address-based sampling (ABS) from the USPS Delivery Sequence File (DSF) presents a potential method to overcome historical coverage decreases in landline random digit dial (RDD) frames, and reduce costs relative to dual-frame cell/landline RDD samples. DSF coverage tends to be better in urban areas than rural areas, and the contact and response options available with ABS make it an interesting method for reaching otherwise "hard-to-survey" populations, such as ethnic and linguistic minorities, and households with only a cell phone. ABS was pilot tested as a special project of the California Health Interview Survey (CHIS), and the procedural results are presented here. Two California communities comprised the target population (with a sample of n=8,277 addresses). Initial results suggest that ABS may work as a replacement to RDD screening but with several caveats.