Non-response Adjustment In Survey Sampling Using Auxiliary Information PDF Download
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Author: Monika Devi
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659777486
Category :
Languages : en
Pages : 60
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Book Description
Non-response is a source of error in surveys that appears when part of the data to be collected are not observed. It has the potential to bias significantly the results of the survey and, consequently, to prevent valid inference.Non-response reduces the sample size, and therefore increases the variance of estimators, leading to larger margins of error.A more serious effect of non-response is that it can be selective. This occurs if, due to non-response, specific groups are under- or over-represented in the survey. To say it in other word: estimates are significantly too high or too low.There are statistical procedures to overcome non-response bias using auxiliary information.In this book, some estimators have been proposed for the estimation of population mean using auxiliary information under non-response. The relative efficiencies of proposed estimators are illustrated with two real populations.
Author: Monika Devi
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659777486
Category :
Languages : en
Pages : 60
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Book Description
Non-response is a source of error in surveys that appears when part of the data to be collected are not observed. It has the potential to bias significantly the results of the survey and, consequently, to prevent valid inference.Non-response reduces the sample size, and therefore increases the variance of estimators, leading to larger margins of error.A more serious effect of non-response is that it can be selective. This occurs if, due to non-response, specific groups are under- or over-represented in the survey. To say it in other word: estimates are significantly too high or too low.There are statistical procedures to overcome non-response bias using auxiliary information.In this book, some estimators have been proposed for the estimation of population mean using auxiliary information under non-response. The relative efficiencies of proposed estimators are illustrated with two real populations.
Author: Devin Caughey
Publisher: Cambridge University Press
ISBN: 1108889700
Category : Political Science
Languages : en
Pages : 98
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Book Description
We elaborate a general workflow of weighting-based survey inference, decomposing it into two main tasks. The first is the estimation of population targets from one or more sources of auxiliary information. The second is the construction of weights that calibrate the survey sample to the population targets. We emphasize that these tasks are predicated on models of the measurement, sampling, and nonresponse process whose assumptions cannot be fully tested. After describing this workflow in abstract terms, we then describe in detail how it can be applied to the analysis of historical and contemporary opinion polls. We also discuss extensions of the basic workflow, particularly inference for causal quantities and multilevel regression and poststratification.
Author: Jelke Bethlehem
Publisher: John Wiley & Sons
ISBN: 1118102223
Category : Mathematics
Languages : en
Pages : 384
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Book Description
A comprehensive, one-stop guide to identifying, reducing, and managing nonresponse in household surveys Nonresponse and its impact on the sample selection mechanism of a survey is a common problem that often arises while collecting survey data. Handbook of Nonresponse in Household Surveys is a complete guide to handling the nonresponse problem, outlining statistical methods and techniques for improving response rates and correcting response data. The authors begin with an introduction to the nonresponse problem along with basic concepts and definitions. Subsequent chapters present current theories and methods that enable survey researchers to skillfully account for nonresponse in their research. Exploring the latest developments in the field, the book also features: An introduction to the R-indicator as an indicator of survey quality Discussion of the different causes of nonresponse Extensive treatment of the selection and use of auxiliary information Best practices for re-approaching nonrespondents An overview of advanced nonresponse correction techniques Coverage of adaptive survey design Throughout the book, the treatment of each topic is presented in a uniform fashion. Following an introduction, each chapter presents the key theories and formulas underlying the topic and then illustrates common applications. Discussion concludes with a summary of the main concepts as well as a glossary of key terms and a set of exercises that allows readers to test their comprehension of the presented material. Examples using real survey data are provided, and a related website features additional data sets, which can be easily analyzed using Stata® or SPSS® software. Handbook of Nonresponse in Household Surveys is an essential reference for survey researchers working in the fields of business, economics, government, and the social sciences who gather, analyze, and draw results from data. It is also a suitable supplement for courses on survey methods at the upper-undergraduate and graduate levels.
Author: Robert M. Groves
Publisher: Wiley-Interscience
ISBN:
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
This volume offers coverage of research in the field of survey nonresponse, the primary threat to the statistical integrity of surveys. This book was written in conjunction with the International Conference on Survey Nonresponse, October 1999.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309272475
Category : Social Science
Languages : en
Pages : 167
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Book Description
For many household surveys in the United States, responses rates have been steadily declining for at least the past two decades. A similar decline in survey response can be observed in all wealthy countries. Efforts to raise response rates have used such strategies as monetary incentives or repeated attempts to contact sample members and obtain completed interviews, but these strategies increase the costs of surveys. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results. These trends are of particular concern for the social science community, which is heavily invested in obtaining information from household surveys. The evidence to date makes it apparent that current trends in nonresponse, if not arrested, threaten to undermine the potential of household surveys to elicit information that assists in understanding social and economic issues. The trends also threaten to weaken the validity of inferences drawn from estimates based on those surveys. High nonresponse rates create the potential or risk for bias in estimates and affect survey design, data collection, estimation, and analysis. The survey community is painfully aware of these trends and has responded aggressively to these threats. The interview modes employed by surveys in the public and private sectors have proliferated as new technologies and methods have emerged and matured. To the traditional trio of mail, telephone, and face-to-face surveys have been added interactive voice response (IVR), audio computer-assisted self-interviewing (ACASI), web surveys, and a number of hybrid methods. Similarly, a growing research agenda has emerged in the past decade or so focused on seeking solutions to various aspects of the problem of survey nonresponse; the potential solutions that have been considered range from better training and deployment of interviewers to more use of incentives, better use of the information collected in the data collection, and increased use of auxiliary information from other sources in survey design and data collection. Nonresponse in Social Science Surveys: A Research Agenda also documents the increased use of information collected in the survey process in nonresponse adjustment.
Author: Damião Nóbrega da Silva
Publisher:
ISBN:
Category :
Languages : en
Pages : 278
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Book Description
Nonresponse is a problem in survey sampling that occurs when part of the information that should be collected on the units selected to the sample is not observed. Unit nonresponse is the type of nonresponse where none of the characteristic of interest is measured for a particular set of units. A popular method to handle unit nonresponse is by increasing the sampling weights of the respondent units to compensate for the nonrespondents. In this class, two procedures are the weighting within cell estimator and the estimator that weighs the observations using estimated response probabilities, also known as propensity scores. In this dissertation, properties of these estimators are studied under a nonparametric response mechanism that allows for varying response probabilities. The response probabilities are assumed to be related to an auxiliary variable through a "smooth", but otherwise unspecified function. The weighting within cell estimator is proved to be consistent for the population mean. The impact of the number of cells on the asymptotic bias and variance of the estimator is also addressed. Empirical comparisons illustrate the superior performance of the estimator over an estimator that does not account for the nonresponse. The weighting with response probability estimator is implemented using a zero order local polynomial fit to estimate the response probabilities. Consistency of the resulting estimator for the population mean is established. Also, a replication estimator for the variance of the weighting with response probability estimator is constructed. Asymptotic properties of the variance estimator are derived.
Author: Carl-Erik Särndal
Publisher: John Wiley & Sons
ISBN: 0470011343
Category : Mathematics
Languages : en
Pages : 212
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Book Description
Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed. Estimation in Surveys with Nonresponse provides an overview of these techniques, presenting the view of nonresponse as a normal (albeit undesirable) feature of a sample survey, one whose potentially harmful effects are to be minimised. Builds in the nonresponse feature of survey data collection as an integral part of the theory, both for point estimation and for variance estimation. Promotes weighting through calibration as a new and powerful technique for surveys with nonresponse. Highlights the analysis of nonresponse bias in estimates and methods to minimize this bias. Includes computational tools to help identify the best variables for calibration. Discusses the use of imputation as a complement to weighting by calibration. Contains guidelines for dealing with frame imperfections and coverage errors. Features worked examples throughout the text, using real data. The accessible style of Estimation in Surveys with Nonresponse will make this an invaluable tool for survey methodologists in national statistics agencies and private survey agencies. Researchers, teachers, and students of statistics, social sciences and economics will benefit from the clear presentation and numerous examples.
Author: Risto Lehtonen
Publisher: John Wiley & Sons
ISBN: 0470091630
Category : Mathematics
Languages : en
Pages : 360
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Book Description
Large surveys are becoming increasingly available for public use, and researchers are often faced with the need to analyse complex survey data to address key scientific issues. For proper analysis it is also important to be aware of the different aspects of the design of complex surveys. Practical Methods for Design and Analysis of Complex Surveys features intermediate and advanced statistical techniques for use in designing and analysing complex surveys. This extensively updated edition features much new material, and detailed practical exercises with links to a Web site, helping instructors and enabling use for distance learning. * Provides a comprehensive introduction to sampling and estimation in descriptive surveys, including design effect statistic and use of auxiliary data. * Includes detailed coverage of complex survey analysis, including design-based ANOVA and logistic regression with GEE estimation. * Contains much new material, including handling of non-sampling errors, and model-assisted estimation for domains. * Features detailed real-li fe case studies, such as multilevel modeling in a multinational educational survey. * Supported by a Web site containing software codes, real data sets, computerized exercises with solutions, and online training materials. Practical Methods for Design and Analysis of Complex Surveys provides a useful practical resource for researchers and practitioners working in the planning, implementation or analysis of complex surveys and opinion polls, including business, educational, health, social, and socio-economic surveys and official statistics. In addition, the book is well suited for use on intermediate and advanced courses in survey sampling.
Author: Douglas S. Massey
Publisher: SAGE
ISBN: 1452282749
Category : Language Arts & Disciplines
Languages : en
Pages : 237
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Book Description
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.
Author: Audrey-Anne Vallée
Publisher:
ISBN:
Category :
Languages : en
Pages : 85
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Book Description
