This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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20
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #306618 |
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Title:
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Evaluation of the Effect on Cost and Variances of the Group Quarters Cluster Size
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Author(s):
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Daniel Sommers* and Steven Hefter+
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Companies:
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U.S. Census Bureau and U.S. Census Bureau
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Address:
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, Washington, DC, 20233,
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Keywords:
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American Community Survey ;
Group Quarters ;
sampling variance
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Abstract:
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The American Community Survey selects its large group quarters (GQ) sample by selecting clusters of ten persons from the GQ sampling frame. Cluster size influences both the variance of the estimates and survey costs. Reducing the number of people in a GQ sample cluster will improve the reliability of the estimates while simultaneously increasing data collection costs. In this paper we evaluate the variance reduction gains from decreasing the sample cluster size for large GQs and the expected impact on survey cost. Additionally, we calculate a cost/benefit factor in order to select the cluster size that offers the most benefit for the increased cost.
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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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