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Activity Number: 371
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: Government Statistics Section
Abstract #320732
Title: Effects of Clustered Random Data Swapping for Statistical Data Limitation on Selected NHIS Estimates of Health Characteristics
Author(s): Joe Fred Gonzalez* and Guangyu Zhang and Anna Oganian
Companies: CDC/NCHS and CDC/NCHS and CDC/NCHS
Keywords: cluster ; data swapping ; statistical disclosure limitation
Abstract:

Federal statistical agencies are mandated by law to protect the confidentiality and privacy of survey respondents. One statistical disclosure limitation (SDL) technique is clustered random data swapping. As a result of applying this SDL technique to data, a natural concern is what is the overall effect of SDL on the quality of the original data and estimates. This poster will present the effects of clustered random data swapping on the quality of original 2013 National Health Interview Survey (NHIS) estimates as compared to the NHIS estimates after application of this SDL technique.


Authors who are presenting talks have a * after their name.

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