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Abstract Details
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Activity Number:
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671
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 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 - #306560 |
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Title:
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Assessing Effectiveness of Nonresponse Adjustment Methods: Response Propensity Weighting and Generalized Regression Calibration Estimation
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Author(s):
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Cong Ye*+ and Roger Tourangeau
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Companies:
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University of Maryland and Westat
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Address:
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11370 Evans Trail, Beltsville, MD, 20705-3036, United States
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Keywords:
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Response Propensity ;
Calibration ;
nonresponse adjustment
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Abstract:
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It is common in practice to address potential nonresponse bias by carrying out post-survey weighting adjustments. Response propensity weighting (Rosenbaum and Rubin 1983) uses auxiliary variables to construct a propensity model that assigns each responding case a weight to compensate for differential probabilities of becoming a respondent. Calibration techniques also use the auxiliary variables to create post-survey weighting adjustments by finding a new set of weights that minimizes the distance from the original weights, but that reproduces population totals on the auxiliary variables exactly. Taking advantage of records available from the sampling frame for our study, we examined the effectiveness of these two common and explicitly model-based post-survey weighting strategies. We found that neither weighting method resulted in significant bias reductions.
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