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Activity Number:
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284
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #303956 |
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Title:
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Visualization of Complex Survey Data
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Author(s):
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Edward Mulrow*+ and Susan Hinkins and Fritz Scheuren
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Companies:
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NORC at the University of Chicago and NORC at the University of Chicago and NORC at the University of Chicago
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Address:
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4350 East-West Highway, Bethesda, MD, 20814,
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Keywords:
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Complex survey design ; inverse sampling ; regression diagnostic plots
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Abstract:
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Over the last two decades advances in computing technology have provided tools for data visualization that have changed the way statisticians analyze data. However, this revolution in data visualization has not been effectively incorporated in the analysis of complex survey data. In part, this is due to the fact that many visualization techniques are not designed to incorporate survey weights or multi-stage clustered designs in a way that mimics a conventional simple random sample data set. We explore the possibility of changing the structure of the complex survey data through the use of inverse sampling in order to allow the use of common visualization tools. In particular, we examine regression diagnostic plots.
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