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Author: Douglas S. Massey Publisher: SAGE ISBN: 1452282730 Category : Language Arts & Disciplines Languages : en Pages : 237
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: Douglas S. Massey Publisher: SAGE ISBN: 1452282730 Category : Language Arts & Disciplines Languages : en Pages : 237
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: National Research Council Publisher: National Academies Press ISBN: 0309272475 Category : Social Science Languages : en Pages : 167
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: Robert M. Groves Publisher: John Wiley & Sons ISBN: 1118490096 Category : Mathematics Languages : en Pages : 316
Book Description
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.
Author: Jelke Bethlehem Publisher: John Wiley & Sons ISBN: 1118102223 Category : Mathematics Languages : en Pages : 384
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: Donald B. Rubin Publisher: John Wiley & Sons ISBN: 0470317361 Category : Mathematics Languages : en Pages : 258
Book Description
Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the benefit of this statistical technique for researchers who must analyze them. Also presents the background for Bayesian and frequentist theory. After establishing that only standard complete-data methods are needed to analyze a multiply-imputed set, the text evaluates procedures in general circumstances, outlining specific procedures for creating imputations in both the ignorable and nonignorable cases. Examples and exercises reinforce ideas, and the interplay of Bayesian and frequentist ideas presents a unified picture of modern statistics.
Author: Robert M. Groves Publisher: Wiley-Interscience ISBN: Category : Business & Economics Languages : en Pages : 528
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: Paul P. Biemer Publisher: John Wiley & Sons ISBN: 1119041678 Category : Social Science Languages : en Pages : 624
Book Description
Featuring a timely presentation of total survey error (TSE), this edited volume introduces valuable tools for understanding and improving survey data quality in the context of evolving large-scale data sets This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields continue to evolve, leading to larger and messier data sets. This perspective challenges survey organizations to find ways to collect and process data more efficiently without sacrificing quality. The volume consists of the most up-to-date research and reporting from over 70 contributors representing the best academics and researchers from a range of fields. The chapters are broken out into five main sections: The Concept of TSE and the TSE Paradigm, Implications for Survey Design, Data Collection and Data Processing Applications, Evaluation and Improvement, and Estimation and Analysis. Each chapter introduces and examines multiple error sources, such as sampling error, measurement error, and nonresponse error, which often offer the greatest risks to data quality, while also encouraging readers not to lose sight of the less commonly studied error sources, such as coverage error, processing error, and specification error. The book also notes the relationships between errors and the ways in which efforts to reduce one type can increase another, resulting in an estimate with larger total error. This book: • Features various error sources, and the complex relationships between them, in 25 high-quality chapters on the most up-to-date research in the field of TSE • Provides comprehensive reviews of the literature on error sources as well as data collection approaches and estimation methods to reduce their effects • Presents examples of recent international events that demonstrate the effects of data error, the importance of survey data quality, and the real-world issues that arise from these errors • Spans the four pillars of the total survey error paradigm (design, data collection, evaluation and analysis) to address key data quality issues in official statistics and survey research Total Survey Error in Practice is a reference for survey researchers and data scientists in research areas that include social science, public opinion, public policy, and business. It can also be used as a textbook or supplementary material for a graduate-level course in survey research methods.
Author: Thomas J. Plewes Publisher: ISBN: Category : Nonresponse (Statistics) Languages : en Pages : 150
Book Description
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". --Publisher's description.
Author: Timothy P. Johnson Publisher: John Wiley & Sons ISBN: 1118885015 Category : Social Science Languages : en Pages : 907
Book Description
Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques. This important resource: Contains contributions from key experts in their respective fields of study from around the globe Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data Includes material that is organized within the total survey error framework Presents extensive and up-to-date references throughout the book Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys.
Author: Douglas S. Massey
Author: Douglas S. Massey
Author: National Research Council
Author: Robert M. Groves
Author: Jelke Bethlehem
Author: Donald B. Rubin
Author: Robert M. Groves
Author: Paul P. Biemer
Author: Thomas J. Plewes
Author: Roger Tourangeau
Author: Timothy P. Johnson