混合模式调查的最新创新和进展

IF 1.6 4区 数学 Q2 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Survey Statistics and Methodology Pub Date : 2024-06-10 DOI:10.1093/jssam/smae025
Stephanie Coffey, Olga Maslovskaya, Cameron McPhee
{"title":"混合模式调查的最新创新和进展","authors":"Stephanie Coffey, Olga Maslovskaya, Cameron McPhee","doi":"10.1093/jssam/smae025","DOIUrl":null,"url":null,"abstract":"\n The use of mixed-mode surveys has grown rapidly in recent years, due to both technological advances and the COVID-19 pandemic. The increased mixing of modes (and the adoption of newer digital modes like web and text messaging) necessitates an evaluation of the impact of these newer designs on survey errors and costs, as well as new techniques for disaggregating and adjusting for nonresponse and measurement errors. This special issue highlights recent innovations, applications, and evaluations of mixed-mode survey designs and identifies areas where additional research is required.","PeriodicalId":17146,"journal":{"name":"Journal of Survey Statistics and Methodology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent Innovations and Advances in Mixed-Mode Surveys\",\"authors\":\"Stephanie Coffey, Olga Maslovskaya, Cameron McPhee\",\"doi\":\"10.1093/jssam/smae025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The use of mixed-mode surveys has grown rapidly in recent years, due to both technological advances and the COVID-19 pandemic. The increased mixing of modes (and the adoption of newer digital modes like web and text messaging) necessitates an evaluation of the impact of these newer designs on survey errors and costs, as well as new techniques for disaggregating and adjusting for nonresponse and measurement errors. This special issue highlights recent innovations, applications, and evaluations of mixed-mode survey designs and identifies areas where additional research is required.\",\"PeriodicalId\":17146,\"journal\":{\"name\":\"Journal of Survey Statistics and Methodology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Survey Statistics and Methodology\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1093/jssam/smae025\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, MATHEMATICAL METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Survey Statistics and Methodology","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1093/jssam/smae025","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 0

摘要

近年来,由于技术进步和 COVID-19 的流行,混合模式调查的使用迅速增加。由于混合模式的增加(以及网络和短信等新型数字模式的采用),有必要对这些新型设计对调查误差和成本的影响进行评估,以及对无应答和测量误差进行分类和调整的新技术。本特刊重点介绍了混合模式调查设计的最新创新、应用和评估,并指出了需要开展更多研究的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Recent Innovations and Advances in Mixed-Mode Surveys
The use of mixed-mode surveys has grown rapidly in recent years, due to both technological advances and the COVID-19 pandemic. The increased mixing of modes (and the adoption of newer digital modes like web and text messaging) necessitates an evaluation of the impact of these newer designs on survey errors and costs, as well as new techniques for disaggregating and adjusting for nonresponse and measurement errors. This special issue highlights recent innovations, applications, and evaluations of mixed-mode survey designs and identifies areas where additional research is required.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.30
自引率
9.50%
发文量
40
期刊介绍: The Journal of Survey Statistics and Methodology, sponsored by AAPOR and the American Statistical Association, began publishing in 2013. Its objective is to publish cutting edge scholarly articles on statistical and methodological issues for sample surveys, censuses, administrative record systems, and other related data. It aims to be the flagship journal for research on survey statistics and methodology. Topics of interest include survey sample design, statistical inference, nonresponse, measurement error, the effects of modes of data collection, paradata and responsive survey design, combining data from multiple sources, record linkage, disclosure limitation, and other issues in survey statistics and methodology. The journal publishes both theoretical and applied papers, provided the theory is motivated by an important applied problem and the applied papers report on research that contributes generalizable knowledge to the field. Review papers are also welcomed. Papers on a broad range of surveys are encouraged, including (but not limited to) surveys concerning business, economics, marketing research, social science, environment, epidemiology, biostatistics and official statistics. The journal has three sections. The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, methods of data collection and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.
期刊最新文献
Recent Innovations and Advances in Mixed-Mode Surveys Effects of a Web–Mail Mode on Response Rates and Responses to a Care Experience Survey: Results of a Randomized Experiment The efficacy of propensity score matching for separating selection and measurement effects across different survey modes Bayesian Multisource Hierarchical Models with Applications to the Monthly Retail Trade Survey Sequential and Concurrent Mixed-Mode Designs: A Tailored Approach
×
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