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 - #307706 |
Title:
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Assessing Nonresponse Bias and Measurement Error Using Statistical Matching
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Author(s):
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John Dixon*+
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Companies:
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Bureau of Labor Statistics
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Address:
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10308 Meredith Ave, Kensington, MD, 20895,
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Keywords:
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Surveys, statistical matching
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Abstract:
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The estimation of nonresponse bias and measurement error shares the problem of usually not having a criterion to assess the quality of the estimate. Nonresponse bias analysis could use responders within the survey sample who are in some way similar to nonresponders to estimate the potential bias. Measurement error studies have similar problems with estimating systematic error (e.g. re-interviews) to provide a measure of the quality of response. Statistical matching uses responders or aggregate data from other sources to model the difference in estimates between sources. The matching is done on respondent characteristics common to both sources. In this study I will use several different sources to attempt to triangulate the differences.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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