This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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255
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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Abstract - #308598 |
Title:
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Incorporating Nonresponse Follow-Up Into a Main Survey Data Set
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Author(s):
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Shin-Jung Lee*+ and James Lepkowski and Kristen Olson and Dandan Zhang
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Companies:
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University of Michigan and University of Michigan and University of Nebraska-Lincoln and Westat
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Address:
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Program in Survey Methodology, Ann Arbor, MI, 48106,
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Keywords:
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Multiple imputation ;
complex sample design ;
weighting ;
unequal probabilities ;
fraction missing ;
sequential regression
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Abstract:
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The University of Michigan Dioxin Exposure Survey (UMDES) was conducted using a complex sample design to measure the association between environmental exposure and blood level of dioxin-like compounds. A main interview, blood, soil and dust data were collected, however nonresponse bias was a concern. At the conclusion of the main data collection (AAPOR RR4 rate 75%), non-complete cases were re-visited in a nonresponse follow-up study (NRFU) that 45% responded. The NRFU data were added to the main data set, and three types of missing values were imputed. A sequential regression multiple imputation leads to slight improvements in precision. The fraction of missing information varies widely across estimates. Study findings suggest that NRFU data be treated as a second phase sample of main data collection incomplete cases and combined with first phase sample data in a final data set.
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