Deriving Parent-Child Pair Weights for the National Health Interview Survey Data

• Activity Number: 181 - Contributed Poster Presentations: Government Statistics Section
• Type: Contributed
• Date/Time: Monday, July 31, 2017 : 10:30 AM to 12:20 PM
• Sponsor: Government Statistics Section
• Author(s): Guangyu Zhang* and Yulei He and Nathaniel Schenker and Van Parsons
• Companies: National Center for Health Statistics and National Center for Health Statistics and Retired and National Center for Health Statistics
• Keywords: weighting ; NHIS ; pair data

Abstract

The National Health Interview Survey (NHIS) is a cross-sectional survey conducted by the National Center for Health Statistics. The sampling plan of NHIS follows a multistage probability design that permits representative sampling of the civilian, noninstitutionalized U.S. population. The sampling procedure involves first sampling from geographically defined Primary Sampling Units (PSU), and then geographic area segments within PSUs, households within the segments and families with the households. Within a family, one adult and one child are random selected. However, the sampling weights for the selected pairs, in particular, parent-child pairs, have not been developed. In this research, we derive the sampling weights for the adult-child pair data. We then identify parent-child pairs from the sampled adult-child pairs and conduct domain analyses for inferences of parent-child pairs. The proposed procedure is useful for studies using the NHIS parent-child pair data.