Abstract Details
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Activity Number:
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158
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 4, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #311702
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View Presentation
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Title:
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Predicting Response Mode During Data Collection in the National Survey of College Graduates
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Author(s):
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Chandra Erdman*+ and Stephanie M. Coffey
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Companies:
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U.S. Census Bureau and U.S. Census Bureau
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Keywords:
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mode switch ;
bayesian ;
response propensity ;
paradata ;
adaptive design
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Abstract:
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The National Survey of College Graduates collects paradata in each of its three modes - Internet, mail and telephone. With these paradata, historical survey responses, and a rich set of frame data, we construct a model to predict response mode during data collection. This dynamic model updates response mode estimates daily by incorporating information obtained throughout data collection, and allows survey managers to switch modes in an informed and adaptive way. We discuss model development and evaluation along with potential future applications in the 2015 National Survey of College Graduates.
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Authors who are presenting talks have a * after their name.
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