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Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposesAdministrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues--including concerns of privacy, confidentiality, and legality--involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error.Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book's final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource:* Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys* Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors* Emphasizes using interdisciplinary methodology and linking administrative records with other data sourcesExplores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, mesaure linkage non-consent bias, and perform small area estimation.Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

This applied statistics book examines sampling methods from a biomedical standpoint. The authors draw on their work at the National Cancer Institute, helping practitioners analyze real-world health data even with no prior experience in survey methods.

The failure to sample people is a major threat to the statistical inference of surveys. Survey designers spend much effort creating surveys that will reduce the non-response rate.

Designing and Conducting Business Surveys provides a coherent overview of the business survey process, from start to finish. It uniquely integrates an understanding of how businesses operate, a total survey error approach to data quality that focuses specifically on business surveys, and sound project management principles.

This book offers up-to-date coverage of recent 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.

This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process.

PRACTICAL METHODOLOGIES FOR CROSS-CULTURAL RESEARCH Since all research is in a sense comparative, it is sometimes argued that methods and requirements remain the same, no matter what country or nationality is involved. The editors of this volume contend that this philosophy is an oversimplification.

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystemThis book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data.Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more.* Presents groundbreaking survey methods being utilized today in the field of Big Data* Explores how machine learning methods can be applied to the design, collection, and analysis of social science data* Filled with examples and illustrations that show how survey data benefits Big Data evaluation* Covers methods and applications used in combining Big Data with survey statistics* Examines regulations as well as ethical and privacy issuesBig Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.

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.

There is more statistical data produced in today's modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from.

A complete and comprehensive collaboration providing insight on future approaches to telephone survey methodology Over the past fifteen years, advances in technology have transformed the field of survey methodology, from how interviews are conducted to the management and analysis of compiled data.

There is a growing interest in developing register-based surveys; that is surveys based upon already available administrative data. Since huge amounts of such data are generated within various administrative systems, the opportunity exists to use the data for statistical analysis without any of the costs involved in data collection.

Enhance the quality of survey results by recognizing and reducing measurement errors. Margins of Error: A Study of Reliability in Survey Measurement demonstrates how and hwy identifying the presence and extent of measurement errors in survey data is essential for improving the overall collection and analysis of the data.

Sampling of Populations: Methods and Applications, 4th Edition is an all-inclusive resource on the basic and most current practices in population sampling. Find the essential statistical methods for survey design and analysis, while also exploring techniques that have developed over the past decade.

This book describes in detail the design, implementation and analysis of longitudinal surveys. Focusing primarily on surveys that involve collecting data from subjects on multiple occasions, it also covers issues that arise in surveys that collect longitudinal data via retrospective methods and ethical issues, including confidentiality and consent.

Praise forEnvisioning the Survey Interview of the Future "This book is an excellent introduction to some brave new technologies... and their possible impacts on the way surveys might be conducted. Anyone interested in the future of survey methodology should read this book. " -Norman M.

The phrase "computer assisted survey information collection" (CASIC) is gaining widespread acceptance as denoting the use of computers for survey data collection, data capture, and data preparation, and the activities that support those tasks.

Peruse the history of survey research and the essential concepts for data quality. With an emphasis on total survey error, the authors review principles and concepts in the field and examine important unresolved issues in survey methods.

Presents developments in telephone survey techniques from around the world.