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Activity Number:
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264
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 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 - #302217 |
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Title:
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Responsive Design for Random Digit Dial Surveys Using Auxiliary Survey Process Data and Contextual Data
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Author(s):
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Sunghee Lee*+ and Tom Belin and Christopher Pankonin and J. Michael Brick and Jennifer Edgar
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Companies:
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University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles and Westat, Inc. and Bureau of Labor Statistics
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Address:
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10960 Wilshire Blvd. Suite 1550, Los Angeles, CA, 90024,
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Keywords:
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RDD survey ; Response rate
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Abstract:
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This study shows a tailored RDD survey design by using two types of data available regardless of response status. The first coming from survey operations exhibit the history of all calls made to each sample and the indicators of survey design features, such as incentive provision. The second is prepared by linking geographic identifiers of all sample cases to the external data. As regarding survey response behaviors as a stochastic process, we fit models to predict how response behaviors change given hypothetical calling schedules and design features. The model is applied to any sample with the same set of variables, and the response behavior of a new sample can be predicted before fielding the survey. Based on the expected response behavior, the design features and calling schedules may be tailored for each case so as to maximize positive response behavior for fixed costs.
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