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Activity Number:
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66
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 12, 2002 : 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 - #300982 |
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Title:
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Methods to Improve the Precision of Health Statistics for Non-Hispanic Asians in the National Health Interview Survey
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Author(s):
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Carrie Jones*+ and Chris Moriarity and Karen Davis and Joe Gonzalez, Jr.
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Affiliation(s):
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National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics
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Address:
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6525 Belcrest Road Room 915, Hyattsville, Maryland, 20782, USA
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Keywords:
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relative standard error ; screening ; density stratification
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Abstract:
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The National Health Interview Survey (NHIS) is a major national household survey conducted by the National Center for Health Statistics to monitor the health of the U.S. civilian noninstitutionalized population. The current (1995-2004) NHIS sample design oversamples Black and Hispanic persons; however, there is no special procedure to sample Asian persons, and statistics for this group from the 2005-2014 sample design do not meet desired precision requirements. One of the primary research objectives for the next NHIS redesign, scheduled for 2005-2014, is to improve the precision of key health statistics for Non-Hispanic Asian persons. This paper discusses combining several years of NHIS data to make multi-year estimates and making estimates for collapsed age categories as two simple approaches to improve precision. This paper also presents findings on the effects of using screening and density stratification with screening as two alternative sample design changes. The results presented in this paper demonstrate that all four methods could provide improved precision of NHIS estimates for Non-Hispanic Asian persons.
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