Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias, Devin Caughey, Adam J. Berinskey, Sara Chatfield,

Автор: Douglas S. Massey, Roger Tourangeau
Название: The Nonresponse Challenge to Surveys and Statistics
ISBN: 1452282749 ISBN-13(EAN): 9781452282749
Издательство: Sage Publications
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Описание: Surveys are the principal source of data not only for social science, but for consumer research, political polling, and federal statistics. In response to social and technological trends, rates of survey nonresponse have risen markedly in recent years, prompting observers to worry about the continued validity of surveys as a tool for data gathering. Newspaper stories, magazine articles, radio programs, television broadcasts, and Internet blogs are filled with data derived from surveys of one sort or another. Reputable media outlets generally indicate whether a survey is representative, but much of the data routinely bandied about in the media and on the Internet are not based on representative samples and are of dubious use in making accurate statements about the populations they purport to represent.      Surveys are social interactions, and like all interactions between people, they are embedded within social structures and guided by shared cultural understandings. This issue of The ANNALS examines the difficulties with finding willing respondents to these surveys and how the changing structure of society, whether it be the changing family structure, mass immigration, rising inequality, or the rise of technology, has presented new issues to conducting surveys. This volume will be of interest to faculty and students who specialize in sociological movements as well as economic and immigration movements and its effect on surveying.       

Автор: Douglas S. Massey, Roger Tourangeau
Название: The Nonresponse Challenge to Surveys and Statistics
ISBN: 1452282730 ISBN-13(EAN): 9781452282732
Издательство: Sage Publications
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Цена: 9504.00 р.
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Описание: Surveys are the principal source of data not only for social science, but for consumer research, political polling, and federal statistics. In response to social and technological trends, rates of survey nonresponse have risen markedly in recent years, prompting observers to worry about the continued validity of surveys as a tool for data gathering. Newspaper stories, magazine articles, radio programs, television broadcasts, and Internet blogs are filled with data derived from surveys of one sort or another. Reputable media outlets generally indicate whether a survey is representative, but much of the data routinely bandied about in the media and on the Internet are not based on representative samples and are of dubious use in making accurate statements about the populations they purport to represent.      Surveys are social interactions, and like all interactions between people, they are embedded within social structures and guided by shared cultural understandings. This issue of The ANNALS examines the difficulties with finding willing respondents to these surveys and how the changing structure of society, whether it be the changing family structure, mass immigration, rising inequality, or the rise of technology, has presented new issues to conducting surveys. This volume will be of interest to faculty and students who specialize in sociological movements as well as economic and immigration movements and its effect on surveying.       

Автор: Richard Valliant; Jill A. Dever; Frauke Kreuter
Название: Practical Tools for Designing and Weighting Survey Samples
ISBN: 3030066983 ISBN-13(EAN): 9783030066987
Издательство: Springer
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Цена: 8384.00 р.
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Описание: The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed. This volume serves at least three audiences: (1) students of applied sampling techniques; 2) practicing survey statisticians applying concepts learned in theoretical or applied sampling courses; and (3) social scientists and other survey practitioners who design, select, and weight survey samples.The text thoroughly covers fundamental aspects of survey sampling, such as sample size calculation (with examples for both single- and multi-stage sample design) and weight computation, accompanied by software examples to facilitate implementation. Features include step-by-step instructions for calculating survey weights, extensive real-world examples and applications, and representative programming code in R, SAS, and other packages.Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition:• Details on new functions in the PracTools package• Additional machine learning methods to form weighting classes• New coverage of nonlinear optimization algorithms for sample allocation• Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors• A new chapter on nonprobability sampling• Additional examples, exercises, and updated references throughoutRichard Valliant, PhD, is Research Professor Emeritus at the Institute for Social Research at the University of Michigan and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an Associate Editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology. Jill A. Dever, PhD, is Senior Research Statistician at RTI International in Washington, DC. She is a Fellow of the American Statistical Association, Associate Editor for Survey Methodology and the Journal of Official Statistics, and an Assistant Research Professor in the Joint Program in Survey Methodology at the University of Maryland. She has served on several panels for the National Academy of Sciences and as a task force member for the American Association of Public Opinion Research’s report on nonprobability sampling. Frauke Kreuter, PhD, is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim, and Head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in N?rnberg, Germany. She is a Fellow of the American Statistical Association and has been Associate Editor of the Journal of the Royal Statistical Society, Journal of Official Statistics, Sociological Methods and Research, Survey Research Methods, Public Opinion Quarterly, American Sociological Review, and the Stata Journal<

Автор: Valliant
Название: Practical Tools for Designing and Weighting Survey Samples
ISBN: 331993631X ISBN-13(EAN): 9783319936314
Издательство: Springer
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Цена: 11179.00 р.
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Описание: The goal of this book is to put an array of tools at the fingertips of students, practitioners, and researchers by explaining approaches long used by survey statisticians, illustrating how existing software can be used to solve survey problems, and developing some specialized software where needed.

Автор: Carroll, Raymond J. , Ruppert, David
Название: Transformation and Weighting in Regression
ISBN: 0367403374 ISBN-13(EAN): 9780367403379
Издательство: Taylor&Francis
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Цена: 9798.00 р.
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Описание:

This monograph provides a careful review of the major statistical techniques used to analyze regression data with nonconstant variability and skewness. The authors have developed statistical techniques--such as formal fitting methods and less formal graphical techniques-- that can be applied to many problems across a range of disciplines, including pharmacokinetics, econometrics, biochemical assays, and fisheries research.

While the main focus of the book in on data transformation and weighting, it also draws upon ideas from diverse fields such as influence diagnostics, robustness, bootstrapping, nonparametric data smoothing, quasi-likelihood methods, errors-in-variables, and random coefficients. The authors discuss the computation of estimates and give numerous examples using real data. The book also includes an extensive treatment of estimating variance functions in regression.

Автор: Sarjinder Singh
Название: A New Concept for Tuning Design Weights in Survey Sampling
ISBN: 0081005946 ISBN-13(EAN): 9780081005941
Издательство: Elsevier Science
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A New Concept for Tuning Design Weights in Survey Sampling: Jackknifing in Theory and Practice introduces the new concept of tuning design weights in survey sampling by presenting three concepts: calibration, jackknifing, and imputing where needed. This new methodology allows survey statisticians to develop statistical software for analyzing data in a more precisely and friendly way than with existing techniques.

Автор: Valliant, Richard Dever, Jill A.
Название: Survey weights
ISBN: 1597182605 ISBN-13(EAN): 9781597182607
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Описание: Survey Weights: A Step-by-Step Guide to Calculation is the first guide geared towards Stata users that systematically covers the major steps taken in creating survey weights. These weights are used to project a sample to some larger population and can be computed for either probability or nonprobability samples.