National Survey of Family Growth, Cycle 6: sample design, weighting, imputation, and variance estimation.
National Survey of Family Growth, Cycle 6: sample design, weighting, imputation, and variance estimation.
复制标题
全国家庭成长调查，第 6 周期：样本设计、加权、插补和方差估计。
DOI：
10.1037/e414742008-001
复制
发表时间：
2006
影响因子：
--
通讯作者：
Jennifer Willem
中科院分区：
文献类型：
--
作者：
J. Lepkowski;W. Mosher;K. Davis;R. Groves;John van Hoewyk;Jennifer Willem
目标
国家卫生统计中心于2002年和2003年初进行了全国家庭成长调查第六周期。本报告描述了如何设计样本，显示了男性和女性的各个亚组的答复率，描述了如何计算样本权重以使国家估计成为可能，显示了如何为有限的一组关键变量估算缺失数据，并描述了估计NSFG抽样误差的正确方法。该报告既包括为只需要一般信息的读者提供的非技术性摘要，也包括为需要深入了解这些主题的读者提供的更多技术细节。
方法
NSFG第6周期基于15-44岁男性和女性的独立全国概率样本。这是有史以来第一个包括15-44岁男性和女性样本的全国性NSFG。实地工作是由密歇根大学社会研究所（ISR）根据与NCHS的合同进行的。由专业女性访谈员使用笔记本电脑进行面对面访谈。总共有12，571名女性和男性-7，643名女性和4，928名男性-接受了采访，这是NSFG有史以来最大的一次。
结果
分析NSFG第六周期数据需要使用抽样权重和估计抽样误差，这说明了调查的复杂样本设计和估计特征。如何使用几个可用的软件包，将复杂的设计功能的估计，如SAS，SUDAAN，和STATA的例子。
OBJECTIVES
Cycle 6 of the National Survey of Family Growth (NSFG) was conducted by the National Center for Health Statistics in 2002 and early 2003. This report describes how the sample was designed, shows response rates for various subgroups of men and women, describes how the sample weights were computed to make national estimates possible, shows how missing data were imputed for a limited set of key variables, and describes the proper ways to estimate sampling errors from the NSFG. The report includes both nontechnical summaries for readers who need only general information and more technical detail for readers who need an in-depth understanding of these topics.
METHODS
The NSFG Cycle 6 was based on an independent, national probability sample of men and women 15-44 years of age. It was the first NSFG ever to include a national sample of men 15-44 as well as a sample of women. Fieldwork was carried out by the University of Michigan's Institute for Social Research (ISR) under a contract with NCHS. In-person, face-to-face interviews were conducted by professional female interviewers using laptop computers. In all, 12,571 women and men-7,643 females and 4,928 males-were interviewed, the largest NSFG ever done.
RESULTS
Analysis of NSFG Cycle 6 data requires the use of sampling weights and estimation of sampling errors that accounts for the complex sample design and estimation features of the survey. Examples of how to use several available software packages that incorporate complex design features in estimation, such as SAS, SUDAAN, and STATA, are presented.