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Activity Number:
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381
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 6, 2008 : 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 - #301425 |
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Title:
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An Exploration into the Use of Paradata for Nonresponse Adjustment in a Health Survey
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Author(s):
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Aaron Maitland*+ and Carolina Casas-Cordero and Frauke Kreuter
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Companies:
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National Center for Health Statistics and University of Maryland, College Park and University of Maryland, College Park
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Address:
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Centers for Disease Control and Prevention, Hyattsville, MD, ,
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Keywords:
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Nonresponse ; Paradata ; call record
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Abstract:
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Nonresponse is a growing concern to survey researchers. One strategy for reducing the effect of nonresponse is statistical adjustment of survey estimates. Methods available for nonresponse adjustment include post-stratification and ratio adjustment. Another approach starts with populating the sample frame with a set of auxiliary variables that are correlated with both the probability of response and the survey variables of interest. The recently released 2006 National Health Interview Survey (NHIS) paradata file contains information collected during the process of recruiting sample households to participate that could be potentially useful for nonresponse adjustment. Information collected includes indicators of respondent reluctance and strategies for recruiting sample members. The goal of this paper is to test hypotheses about correlations between paradata variables and survey outcomes.
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