Böcker i Wiley Series in Survey Methodology-serien

In the past two decades, methods for the development, evaluation, and testing of survey questionnaires have changed radically. Research has also begun to evaluate the strengths and weaknesses of alternative techniques, and to examine the generality and consistency of their results.

Praise for the First Edition : "The book makes a valuable contribution by synthesizing current research and identifying areas for future investigation for each aspect of the survey process. " - Journal of the American Statistical Association "Overall, the high quality of the text material is matched by the quality of writing...

REGISTER-BASED STATISTICSRediscover this authoritative guide to register-based statistics filled with significant new improvementsIn the newly revised Third Edition of Register-based Statistics: Registers and the National Statistical System, Anders Wallgren and Britt Wallgren deliver a robust exploration of how register-based statistics can be used to its fullest potential. The authors describe how statistical institutes can work on long-term projects to improve administrative systems, as well as estimation methods that can improve the quality of statistical estimates based on registers with quality problems. Readers will also discover how to improve the ways register-statistical issues are introduced, as well as how to create population registers.Finally, the authors draw on their experience from teaching and consulting in several countries to explain how to implement register-based statistics.Key features of the third edition:* Discusses the problems new register countries face* Explains how registers will improve the efficiency of the national statistical system* Clarifies the importance of the system approach* Describes how a statistical population register can be created* Registers-based statistics require new skills and understanding of new concepts* Many important quality indicators are described* Explains difficult topics in a pedagogic wayPerfect for staff at national statistical institutes and administrative and ministerial authorities belonging to national statistical systems, Register-based Statistics will also prove to be an indispensable resource for undergraduate and graduate students in statistics programs and courses, as well as survey researchers and practitioners.

Providing a thorough and comprehensive treatment of sampling theory, methods, and current topics of interest, Sampling Statistics features the latest developments and current practices in survey sampling. The book introduces basic sampling concepts to facilitate the application of model-based procedures to survey samples.

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 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.

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.

A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketingThis book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method's deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:* Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity* Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications* Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation --featuring contributions from across a variety of disciplines in the social and behavioral sciences* Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study* Includes more than 20 types of original experiments carried out within probability sample surveys* Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and methodExperimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.

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.

Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the fieldAdvances 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 bookWritten 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.

An edited volume for an upcoming conference on Total Survey Error (TSE), this book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation and analysis.

A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations.

Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic. I believe that it has the potential to turn small area estimation. into a larger area of importance to both researchers and practitioners.

Presents a comprehensive treatment of issues related to the inception, design, implementation and reporting of large-scale education assessments.

This comprehensive text takes a critical look at the modern development of the theory of survey sampling as well as the foundations of survey sampling, and explains how to put this theory into practice.

Acknowledging the impact of sociological factors on the survey process, this book introduces a paradigm for the cognitive interview process. It introduces the interpretive approach to cognitive interviewing, presents the underlying theoretical foundations, and explores the issues relating it.

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.Register-based surveys require their own methodology and the development of these methods is an important challenge to statistical science. Instead of methods on how to collect data, methods for integrating data from different sources are necessary. How should administrative data be transformed to meet the statistical needs?"Register-based Statistics" offers readers a detailed account of the principles and practices of this increasingly popular area of statistics.Provides a comprehensive overview of register-based statistics, both in terms of theory and advanced application.Uses real life examples taken from Statistics Sweden to illustrate fundamental global principles.Proposes a much-needed systematic terminology for the field.Describes how to create statistical registers and a methodology for integration of data from many sources as a key tool for the future.Develops estimation methods and quality concepts for register-based surveys.Discusses statistical systems consisting of many statistical registers and surveys, highlighting the importance of consistency and coherence."Register-based Statistics" provides a unique guide for all those working in statistical agencies. It will also prove invaluable for academic researchers and teachers in statistics, and statisticians working with administrative systems in government institutions and enterprises.

Praise for the First Edition . this book is quite inspiring, giving many practical ideas for survey research, especially for designing better questionnaires.

Provides new insights into the accuracy and value of online panels for completing surveys Over the last decade, there has been a major global shift in survey and market research towards data collection, using samples selected from online panels.

Explore the practices and cutting-edge research on the new and exciting topic of paradata Paradata are measurements related to the process of collecting survey data.

Emphasizing the statistical aspects of survey methods, Applied Survey Methods describes the complete survey process, from design to publication. This valuable book provides an overview of the theory as well as the practical applications of survey research methods, such as item and unit non-response and the associated treatment.

This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys.

A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents.

* More than twenty notable survey methodology researchers from around the world have gathered to contribute valuable insight on the role of question evaluation methods in improving data quality.

* Incorporates the use of R subroutines in the analysis ofsurveys * Realistically large, but not technologically inaccessible, datasets are showcased to illustrate the need for and utility of the Rsoftware system.

Written and edited by experts in the fields, S urvey Methods in Multicultural, Multinational, and Multiregional Contexts provides an overview of comparative multinational, multiregional, and multicultural issues in survey methodology.

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.

High response rates have traditionally been considered as one ofthe main indicators of survey quality. Obtaining high responserates is sometimes difficult and expensive, but clearly plays abeneficial role in terms of improving data quality.

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.