Abstract #302136

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JSM 2003 Abstract #302136
Activity Number: 443
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #302136
Title: Exploratory Analysis of the Effects of Data Quality on Nonresponse Adjustments in RDD Surveys
Author(s): Kevin H. Wang*+ and Timothy Triplett and Adam Safir and Natalie Abi-Habib
Companies: The Urban Institute and The Urban Institute and The Urban Institute and The Urban Institute
Address: 2100 M St. NW, Washington, DC, 20037-1207,
Keywords: nonresponse ; weighting ; RDD telephone survey ; aggregate data
Abstract:

In random digit dial (RDD) telephone surveys, nonresponse adjustments are often carried out by modeling (either implicitly or explicitly) the survey participation decision. The data used in the modeling must be available for both respondents and nonrespondents. In many RDD telephone surveys, only aggregate data (defined at some unit of geography such as the census tract, county, zip code, or telephone exchange) are available for both respondents and nonrespondents. Such data will vary with respect to available variables, level of aggregation, and accuracy. We use data from the 2002 National Survey of America's Families to examine the degree to which different sources of aggregate data affect adjustments for nonresponse, principally through comparisons of response propensities. The first source of data consists of characteristics at the telephone exchange level that is typically supplied with the sample of telephone numbers. The second source consists of county-level estimates based on long form data from the 2000 Census.

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