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Activity Number:
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167
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 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 - #304345 |
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Title:
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A Simulation Study to Compare Weighting Methods for Survey Nonresponses
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Author(s):
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Amang Sukasih*+ and Donsig Jang and Sonya Vartivarian and Stephen Cohen and Fan Zhang
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Companies:
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Mathematica Policy Research, Inc. and Mathematica Policy Research, Inc. and Mathematica Policy Research, Inc. and National Science Foundation and National Science Foundation
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Address:
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600 Maryland Ave., S.W., Suite 550, Washington, DC, 20024,
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Keywords:
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survey ; nonrespose ; weight adjustment ; weighting cell ; propensity model
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Abstract:
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Common methods to adjust sampling weights to account for survey nonresponse are the weighting cell technique, response propensity modeling, or a combination of both. Each raises several issues; for examples, which covariates to use to construct the weighting cells or to model response propensities, whether weights are used in modeling, and whether to weight the adjustment factor. To address these issues, we used a simulation based on a data from the National Survey of Recent College Graduates maintained by the National Science Foundation to evaluate these weighting methods. In the end, we expect that the weighting adjustment will have successfully accounted for possible nonresponse bias.
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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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