Nonresponse in the National Survey of Children's Health, 2007.

Benjamin J Skalland, Stephen J Blumberg
{"title":"Nonresponse in the National Survey of Children's Health, 2007.","authors":"Benjamin J Skalland,&nbsp;Stephen J Blumberg","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>For random-digit-dial telephone surveys, the increasing difficulty in contacting eligible households and obtaining their cooperation raises concerns about the potential for nonresponse bias. This report presents an analysis of nonresponse bias in the 2007 National Survey of Children's Health, a module of the State and Local Area Integrated Telephone Survey conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics.</p><p><strong>Methods: </strong>An attempt was made to measure bias in six key survey estimates using four different approaches: comparison of response rates for subgroups, use of sampling frame data, study of variation within the existing survey, and comparison of survey estimates with similar estimates from another source.</p><p><strong>Results: </strong>Even when nonresponse-adjusted survey weights were used, the interviewed population was more likely to live in areas associated with higher levels of home ownership, lower home values, and greater proportions of non-Hispanic white persons when compared with the nonresponding population. Bias was found (although none greater than 3%) in national estimates of the proportion of children in excellent or very good health, those with consistent health insurance coverage, and those with a medical home. However, the level and direction of the bias depended on the approach used to measure it. There was no evidence of significant bias in the proportion of children with preventive medical care visits, those with families who ate daily meals together, or those living in safe neighborhoods.</p>","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 156","pages":"1-22"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vital and health statistics. Series 2, Data evaluation and methods research","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: For random-digit-dial telephone surveys, the increasing difficulty in contacting eligible households and obtaining their cooperation raises concerns about the potential for nonresponse bias. This report presents an analysis of nonresponse bias in the 2007 National Survey of Children's Health, a module of the State and Local Area Integrated Telephone Survey conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics.

Methods: An attempt was made to measure bias in six key survey estimates using four different approaches: comparison of response rates for subgroups, use of sampling frame data, study of variation within the existing survey, and comparison of survey estimates with similar estimates from another source.

Results: Even when nonresponse-adjusted survey weights were used, the interviewed population was more likely to live in areas associated with higher levels of home ownership, lower home values, and greater proportions of non-Hispanic white persons when compared with the nonresponding population. Bias was found (although none greater than 3%) in national estimates of the proportion of children in excellent or very good health, those with consistent health insurance coverage, and those with a medical home. However, the level and direction of the bias depended on the approach used to measure it. There was no evidence of significant bias in the proportion of children with preventive medical care visits, those with families who ate daily meals together, or those living in safe neighborhoods.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
2007年全国儿童健康调查中没有回应。
目的:对于随机数字拨号电话调查,联系符合条件的家庭并获得他们的合作越来越困难,这引起了对潜在的无反应偏差的担忧。本报告对2007年全国儿童健康调查中的无反应偏差进行了分析,该调查是由疾病控制和预防中心的国家卫生统计中心进行的州和地方综合电话调查的一个模块。方法:尝试使用四种不同的方法测量六个关键调查估计的偏差:比较亚组的回复率,使用抽样框架数据,研究现有调查中的变异,以及将调查估计与其他来源的类似估计进行比较。结果:即使使用非回应调整的调查权重,与未回应的人口相比,受访人口更有可能生活在房屋拥有率较高、房屋价值较低、非西班牙裔白人比例较大的地区。在对健康状况极好或非常好的儿童、有持续健康保险的儿童和有医疗之家的儿童比例的国家估计中发现了偏差(尽管不超过3%)。然而,偏差的水平和方向取决于测量它的方法。在接受预防性医疗保健访问的儿童、家庭成员每天一起吃饭的儿童或生活在安全社区的儿童的比例方面,没有证据表明存在显著偏差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
13.20
自引率
0.00%
发文量
0
期刊介绍: Studies of new statistical methodology including experimental tests of new survey methods, studies of vital statistics collection methods, new analytical techniques, objective evaluations of reliability of collected data, and contributions to statistical theory. Studies also include comparison of U.S. methodology with those of other countries.
期刊最新文献
Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey. Assessing Linkage Eligibility Bias in the National Health Interview Survey. Assessing Linkage Eligibility Bias in the National Health Interview Survey. An Investigation of Nonresponse Bias and Survey Location Variability in the 2017-2018 National Health and Nutrition Examination Survey. National Health and Nutrition Examination Survey, 2015-2018: Sample Design and Estimation Procedures.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1