Nonresponse in Household Interview Surveys 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Nonresponse in Household Interview Surveys

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Robert M. Groves 作者
Wiley-Interscience
译者
1998-4-28 出版日期
368 页数
USD 157.00 价格
Hardcover
丛书系列
9780471182450 图书编码

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发表于2024-12-23


Nonresponse in Household Interview Surveys 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Nonresponse in Household Interview Surveys 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Nonresponse in Household Interview Surveys 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Nonresponse in Household Interview Surveys 在线电子书 图书描述

A comprehensive framework for both reduction of nonresponse and postsurvey adjustment for nonresponse

This book provides guidance and support for survey statisticians who need to develop models for postsurvey adjustment for nonresponse, and for survey designers and practitioners attempting to reduce unit nonresponse in household interview surveys. It presents the results of an eight-year research program that has assembled an unprecedented data set on respondents and nonrespondents from several major household surveys in the United States.

Within a comprehensive conceptual framework of influences on nonresponse, the authors investigate every aspect of survey cooperation, from the influences of household characteristics and social and environmental factors to the interaction between interviewers and householders and the design of the survey itself.

Nonresponse in Household Interview Surveys:

* Provides a theoretical framework for understanding and studying household survey nonresponse

* Empirically explores the individual and combined influences of several factors on nonresponse

* Presents chapter introductions, summaries, and discussions on practical implications to clarify concepts and theories

* Supplies extensive references for further study and inquiry

Nonresponse in Household Interview Surveys is an important resource for professionals and students in survey methodology/research methods as well as those who use survey methods or data in business, government, and academia. It addresses issues critical to dealing with nonresponse in surveys, reducing nonresponse during survey data collection, and constructing statistical compensations for the effects of nonresponse on key survey estimates.

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