Abstract Details
Activity Number:
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314
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #310625
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View Presentation
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Title:
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The Use of Targeted Lists to Enhance Sampling Efficiency in Address-Based Sample Designs: Age, Race, and Other Qualities
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Author(s):
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Ned English*+ and Ying Li and Andrea Mayfield and Alicia Frasier
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Companies:
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NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago
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Keywords:
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ABS ;
targeted lists ;
rare populations ;
Address frames ;
GIS
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Abstract:
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Address-based sample (or "ABS") designs are attractive for population studies due to both the possibility of contacting households with multiple modes as well as high coverage rates. One limitation of ABS is higher costs in situations where the target population has low eligibility, making approaches such as random-digit dial telephone plus cell (or "dual frame") more efficient. We employed age- and race-targeted lists to enhance an address frame based on the United States Postal Service (USPS) computerized delivery sequence file (CDSF) in a study targeting low-incidence households. Our paper presents results that indicate which factors are more easily captured, and the associated coverage/hit-rate trade-offs in different environments. We also discuss the impact of utilizing lists from multiple vendors simultaneously, and the kinds of households present or absent from one or more targeted list.
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Authors who are presenting talks have a * after their name.
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