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Imputation and price indexes : theory and evidence from the international price program
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Year: 2001 Publisher: [Washington, D.C.] : U.S. Dept. of Labor, Bureau of Labor Statistics, Office of Prices and Living Conditions,

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Early observations indicate that some nonresponse follow-up procedures are not being followed and others are lacking (OAE-19893-01)
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Year: 2010 Publisher: [Washington, D.C.] : U.S. Dept. of Commerce, Office of Inspector General,

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Stratifying to reduce bias caused by high nonresponse rates : a case study from New Mexico's forest inventory
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Year: 2013 Publisher: Fort Collins, CO : United States Department of Agriculture, Forest Service, Rocky Mountain Research Station,

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Nonresponse bias analysis of body mass index data in the eating and health module
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Year: 2012 Publisher: [Washington, D.C.] : United States Department of Agriculture, Economic Research Service,

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An investigation of nonresponse bias and survey location variability in the 2017-2018 National Health and Nutrition Examination Survey.
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Year: 2020 Publisher: Hyattsville, Maryland : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics,

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Human capital : quality of DOD Status of Forces surveys could be improved by performing nonresponse analysis of the results
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Year: 2010 Publisher: Washington, DC : U.S. Govt. Accountability Office,

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Estimation in surveys with nonresponse.
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ISBN: 9780470011331 0470011335 Year: 2005 Publisher: Chichester Wiley

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There is increasing interest in the study of nonresponse in statistical surveys, as there is a need to reduce the level of nonresponse in order to increase the validity of the results, and to deal with the problem of nonresponse once it has arisen. It is possible to reduce the amount of nonresponse in a survey, but not possible to avoid it completely. Therefore there is a need for techniques that enable the survey statistician to estimate the level of nonresponse, and adjust for it accordingly in order to improve the results. This book presents a practical overview of techniques for estimating nonresponse in statistical surveys, and for adjusting for it once it has occurred. It also covers the related topics of frame imperfections and coverage errors in surveys, featuring many worked examples and implementation of the methods in a number of statistical software packages. The text is based upon a manual developed at Statistics Sweden, and used extensively by government statisticians working with data from real surveys. Features: Provides an overview of methods for the estimation of nonresponse in statistical surveys. Covers a range of methods for nonresponse adjustment, particularly reweighting and imputation. Includes guidelines for dealing with frame imperfections and coverage errors. Features worked examples throughout using real data. Includes implementation of the methods in a range of statistical software It will appeal to researchers and practitioners analyzing data from statistical surveys. Also suitable as supplementary reading for graduate students of survey statistics.


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Improving survey response : lessons learned from the European Social Survey.
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ISBN: 9780470516690 Year: 2010 Publisher: Chichester Wiley


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Randomized response and related methods : surveying sensitive data
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ISBN: 9781483381039 148338103X 150630012X 1483381021 1483381048 Year: 2016 Publisher: Los Angeles : SAGE,

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Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.

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