140 – Address-Based Telephone RDD and Cell Phone Sampling
Coverage and Data Quality Association in Enhanced Address-Based Sample Frames
Ipek Bilgen
NORC
Ned English
NORC
Racial and Ethnic Approaches to Community Health across the U.S. Risk Factor Survey (REACH U.S.) provides the Centers for Disease Control and Prevention (CDC) and the involved communities with quantitative data to track the progress and achievements of the community intervention programs to eliminate health disparities. For REACH U.S., NORC conducts multi-mode surveys using address-based sampling frames enhanced with race/ethnicity information. Specifically, REACH U.S. employs two sampling frames: 1- An address-based sampling (ABS) frame derived from the U.S. Postal Service (USPS) Delivery Sequence File (DSF), and 2- A race-targeted list. REACH U.S. collects data primarily via two modes of data collection (telephone and mail interviews). This paper examines the REACH U.S. Year 3 achieved sample and investigates the impact of increasing efficiency via list-based frames as opposed to ABS frames. We examine whether the two frames significantly differ on key health measures and investigate whether using an enhanced DSF affects key statistics. According to our results, we see some significant response differences among respondents who were covered by the targeted lists versus those who were not covered. Specifically, among the examined key estimates, two of the key health estimates significantly differ between DSF-only list and the enhanced DSF list. Overall, however, the source frame does not seem to have much impact on the relationship between the key respondent characteristics and the key health estimates.
