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Activity Number:
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125
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #307889 |
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Title:
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Predicting the Relative Quality of Alternative Sampling Frames
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Author(s):
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Colm O'Muircheartaigh*+ and Edward English and Stephanie Eckman
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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
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Address:
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1155 East 60th Street, Chicago, IL, 60637,
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Keywords:
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USPS lists ; sampling frames ; Tailored samples ; frame quality
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Abstract:
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The paper presents a systematic review of the relative efficacy of traditional listing and the USPS address list as sampling frames for national probability samples of households. NORC and ISR collaborated to compare these two national area-probability sampling frames for household surveys. We conducted this comparison in an ongoing survey operation which combines the current wave of the HRS with the first wave of NSHAP. Since 2000, survey samplers have been exploring the potential of the USPS address lists to serve as a sampling frame for probability samples from the general population. We report the relative coverage properties of the two frames, as well as predictors of the coverage and performance of the USPS frame. The research provides insight into the coverage and cost/benefit trade-offs that researchers can expect from traditionally listed frames and USPS address databases.
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