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Activity Number:
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6
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Type:
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Invited
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Date/Time:
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Sunday, August 2, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Government Statistics
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| Abstract - #303073 |
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Title:
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Use of Paradata to Manage a Field Data Collection
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Author(s):
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Robert Groves*+ and William Axinn and James Lepkowski and Nicole Kirgis and William Mosher
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Companies:
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University of Michigan and University of Michigan and University of Michigan and University of Michigan and National Center for Health Statistics
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Address:
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1355 ISR Building P.O. Box 1248 , Ann Arbor, MI, 48106,
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Keywords:
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nonresponse ; paradata ; adaptive design ; responsive design ; survey costs
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Abstract:
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Modern survey data collection is fraught with uncertainty. If one assumes a beneficial realization of the various uncertainties, overruns of time or costs are the key risk. If one assume a perverse realization of the various uncertainties, smaller samples of respondent cases are the risk. This argument is the rationale for so-called "responsive designs," which alter the data collection protocol base on paradata collected during the data collection period. This paper reviews a set of paradata have been monitored over the past year to assess the performance of a face-to-face survey data collection. It describes the conceptual framework of the paradata, illustrates the monitoring tools, and then evaluates interventions in the data collection designed to alter the course of the data collection in a fashion judged desirable by the survey management.
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