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Activity Number:
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317
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 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 - #305474 |
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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*+
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Companies:
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University of California, Los Angeles
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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 surveys ; response rates
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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 telephone calls made to each sample and the indicators of survey design features, such as rigorous refusal conversion. The second is prepared by linking geographic identifiers of all sample telephone numbers to the external data. As regarding survey response behaviors as a stochastic process, we fit multilevel models to predict how response behaviors change given hypothetical 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 predicted response behavior, the design features may be tailored for each case so as to maximize positive response behavior for fixed costs.
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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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