Nonresponse in Household Interview Surveys: Groves/Nonresponse
Nonresponse in Household Interview Surveys: Groves/Nonresponse
复制标题
家庭访谈调查中的无答复：格罗夫斯/无答复
DOI：
10.1002/9781118490082
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发表时间：
1998
期刊：
影响因子：
--
通讯作者：
M. Couper
中科院分区：
文献类型：
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作者：
R. Groves;M. Couper
这本书为调查统计学家提供了指导和支持，他们需要为不回应的调查后调整开发模型，并为调查设计师和从业者试图减少家庭访谈调查中的单位不回应。它展示了一项为期八年的研究项目的结果，该项目收集了来自美国几个主要家庭调查的受访者和非受访者的前所未有的数据集。在影响不回应的综合概念框架内，作者研究了调查合作的各个方面，从家庭特征和社会环境因素的影响到访谈者和户主之间的互动以及调查本身的设计。家庭访谈调查中的无回应：*为理解和研究家庭调查的无回应提供了一个理论框架*实证地探讨了几个因素对无回应的个体和综合影响*提供了章节介绍，摘要，为进一步的研究和探究提供广泛的参考资料。《家庭访谈调查中的非回答》是研究调查方法/研究方法的专业人士和学生以及在商业、政府和学术界使用调查方法或数据的人员的重要资源。它解决了在调查中处理无反应的关键问题，减少了调查数据收集过程中的无反应，并为无反应对关键调查估计的影响构建了统计补偿。
A comprehensive framework for both reduction of nonresponse andpostsurvey adjustment for nonresponse This book provides guidance and support for survey statisticianswho need to develop models for postsurvey adjustment fornonresponse, and for survey designers and practitioners attemptingto reduce unit nonresponse in household interview surveys. Itpresents the results of an eight-year research program that hasassembled an unprecedented data set on respondents andnonrespondents from several major household surveys in the UnitedStates. Within a comprehensive conceptual framework of influences onnonresponse, the authors investigate every aspect of surveycooperation, from the influences of household characteristics andsocial and environmental factors to the interaction betweeninterviewers and householders and the design of the surveyitself. Nonresponse in Household Interview Surveys:* Provides a theoretical framework for understanding and studyinghousehold survey nonresponse* Empirically explores the individual and combined influences ofseveral factors on nonresponse* Presents chapter introductions, summaries, and discussions onpractical implications to clarify concepts and theories* Supplies extensive references for further study and inquiry Nonresponse in Household Interview Surveys is an important resourcefor professionals and students in survey methodology/researchmethods as well as those who use survey methods or data inbusiness, government, and academia. It addresses issues critical todealing with nonresponse in surveys, reducing nonresponse duringsurvey data collection, and constructing statistical compensationsfor the effects of nonresponse on key survey estimates.