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Activity Number:
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54
- Record Linkage, Data Integration, and Improving Survey Measurement
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Type:
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Contributed
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Date/Time:
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Sunday, August 8, 2021 : 3:30 PM to 5:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #318192
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Title:
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Improving the Representativeness of Tribal BRFSS Through Data Integration
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Author(s):
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Sixia Chen and Janis Campbell and Erin Spain and Alexandra Milligan* and Cuyler Snider
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Companies:
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University of Oklahoma Health Sciences Center and University of Oklahoma Health Science Center and Southern Tribal Health Board and University of Oklahoma Health Science Center and Southern Tribal Health Board
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Keywords:
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Calibration;
Data integration;
Mass imputation;
Non-probability samples
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Abstract:
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Previous research showed large health disparities between Native American population and General population. Tribal Behavioral Risk Factor Surveillance System (TBRFSS) provides rich health related information for Native American population located in Oklahoma, Texas, and Kansas. However, it is non-probability sample collected by a combination of convenient event surveys and web surveys. Behavioral Risk Factor Surveillance System (BRFSS) provides annual health information for general population through probability sampling design. In this paper, we compare different data integration approaches including sequential parametric and nonparametric mass imputation approaches and calibration approach for improving the representativeness of TBRFSS.
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Authors who are presenting talks have a * after their name.
