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Activity Number:
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298
- SPEED: Innovations in Survey Sampling Designs: Administrative Data, Record Linkage, Non-Probability Samples, and More
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Survey Research Methods Section
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Abstract #330677
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Presentation
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Title:
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When to Use Commercial Data for Improved Efficiency
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Author(s):
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Edward English* and Colm O'Muircheartaigh
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Companies:
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NORC At the University of Chicago and NORC at the University of Chicago
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Keywords:
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ABS;
commercial data;
coverage;
enhanced sample design
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Abstract:
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Address-Based Sampling [ABS] designs based on extracts of the United States Postal Service computerized delivery sequence file allow for the enhancement with information from supplementary lists designed to identify households belonging to specific demographic groups, including those that could be considered rare or hard-to-reach. We know from previous research, however, that such targeted lists can have reduced coverage for certain subgroups. Our paper uses area information from the American Community Survey and other sources to predict when a specific supplementary source is most appropriate for a specific target. We also describe the characteristics of survey respondents who are well-identified vs. poorly-identified from a specific source or combination of sources. Our research will be useful to survey practitioners interested in the tradeoffs of the improved efficiency of targeted lists. Validation information is obtained from the fieldwork of the AmeriSpeak® Panel NORC's, multi-mode ABS panel designed to support NORC's mission to deliver reliable data to guide critical programmatic, business, and policy decisions.
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Authors who are presenting talks have a * after their name.
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