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Activity Number:
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502
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 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 - #307255 |
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Title:
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Anomaly of Survey Weights for American Indians and Alaska Natives
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Author(s):
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Sunghee Lee*+ and John H. Kurata and Yan Xiong
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Companies:
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University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
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Address:
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10911 Weyburn Ave., Los Angeles, CA, 90024,
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Keywords:
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weighting ; race classification ; American Indians and Alaska Natives
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Abstract:
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Weighting is a standard practice in probability sample surveys. One of its constraints is that the population distributions come from external data, such as Census. What is available in those data determines the choice of weighting variables. Race and ethnicity are common weighting variables but complex concepts with many ways to be classified. Their classification may alter weighting effectiveness. Its influence may be minimal for large racial/ethnic groups but substantial for small ones. This study examines the effect of using different race/ethnicity variables focusing on the American Indians Alaska Natives (AIAN) in the California Health Interview Survey. First, two types of weighting variables will be examined. Second, a composite method will be proposed to correct for the discrepancy in weighted AIAN population totals. Third, results of three weighting methods will be compared.
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