Article

The 2006–2010 National Survey of Family Growth: Sample design and analysis of a continuous survey

Institute for Social Research, University of Michigan, USA.
Vital and health statistics. Series 2, Data evaluation and methods research 06/2010; 150(150):1-36.
Source: PubMed

ABSTRACT The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of women and men 15-44 years of age in the United States. This report describes the sample design for the NSFG's new continuous design and the effects of that design on weighting and variance estimation procedures. A working knowledge of this information is important for researchers who wish to use the data. Two data files are being released--the first covering 2.5 years (30 months) of data collection and the second after all data have been collected. This report is being released with the first data file. A later report in this Series will include specific results of the weighting, imputation, and variance estimation.
The NSFG's new design is based on an independent, national probability sample of women and men 15-44 years of age. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with the National Center for Health Statistics (NCHS). In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers.
Analysis of NSFG data requires the use of sampling weights and estimation of sampling errors that account for the complex sample design and estimation features of the survey. Sampling weights are provided on the data files. The rate of missing data in the survey is generally low. However, missing data were imputed for about 600 key variables (called "recodes") that are used for most analyses of the survey. Imputation was accomplished using a multiple regression procedure with software called IVEware, available from the University of Michigan website.

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    • "All models adjust for sampling design effects, as explained in the next section. Survey comparability and sampling design effects The 2006–2010 continuous survey was designed to support comparisons to 2002 (Lepkowski et al. 2010). Both surveys drew on the same sampling frame, and although there were some differences in questionnaire content across surveys (and across years within the continuous survey), these differences were irrelevant to the analyses presented here. "
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