Non-response Adjustment In Survey Sampling Using Auxiliary Information - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Non-response Adjustment In Survey Sampling Using Auxiliary Information write by Monika Devi. This book was released on 2015-09-02. Non-response Adjustment In Survey Sampling Using Auxiliary Information available in PDF, EPUB and Kindle. 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.
Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias
Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias write by Devin Caughey. This book was released on 2020-10-22. Target Estimation and Adjustment Weighting for Survey Nonresponse and Sampling Bias available in PDF, EPUB and Kindle. 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.
Nonresponse in Social Science Surveys
Nonresponse in Social Science Surveys - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nonresponse in Social Science Surveys write by National Research Council. This book was released on 2013-10-26. Nonresponse in Social Science Surveys available in PDF, EPUB and Kindle. 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.
Survey Nonresponse
Survey Nonresponse - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Survey Nonresponse write by Robert M. Groves. This book was released on 2002. Survey Nonresponse available in PDF, EPUB and Kindle. 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.
Handbook of Nonresponse in Household Surveys
Handbook of Nonresponse in Household Surveys - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Nonresponse in Household Surveys write by Jelke Bethlehem. This book was released on 2011-04-27. Handbook of Nonresponse in Household Surveys available in PDF, EPUB and Kindle. 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.
