Survey Methodology

Author: Robert M. Groves,Floyd J. Fowler, Jr.,Mick P. Couper,James M. Lepkowski,Eleanor Singer,Roger Tourangeau

Publisher: John Wiley & Sons

ISBN: 1118211340

Category: Mathematics

Page: 488

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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 . . ." —Public Opinion Quarterly ". . . it should find an audience everywhere surveys are being conducted." —Technometrics This new edition of Survey Methodology continues to provide a state-of-the-science presentation of essential survey methodology topics and techniques. The volume's six world-renowned authors have updated this Second Edition to present newly emerging approaches to survey research and provide more comprehensive coverage of the major considerations in designing and conducting a sample survey. Key topics in survey methodology are clearly explained in the book's chapters, with coverage including sampling frame evaluation, sample design, development of questionnaires, evaluation of questions, alternative modes of data collection, interviewing, nonresponse, post-collection processing of survey data, and practices for maintaining scientific integrity. Acknowledging the growing advances in research and technology, the Second Edition features: Updated explanations of sampling frame issues for mobile telephone and web surveys New scientific insight on the relationship between nonresponse rates and nonresponse errors Restructured discussion of ethical issues in survey research, emphasizing the growing research results on privacy, informed consent, and confidentiality issues The latest research findings on effective questionnaire development techniques The addition of 50% more exercises at the end of each chapter, illustrating basic principles of survey design An expanded FAQ chapter that addresses the concerns that accompany newly established methods Providing valuable and informative perspectives on the most modern methods in the field, Survey Methodology, Second Edition is an ideal book for survey research courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing survey methodologists and any professional who employs survey research methods.

Advances in Comparative Survey Methods

Multinational, Multiregional, and Multicultural Contexts (3MC)

Author: Timothy P. Johnson,Beth-Ellen Pennell,Ineke A. L. Stoop,Brita Dorer

Publisher: Wiley

ISBN: 1118884981

Category: Social Science

Page: 1136

View: 5319

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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.

Advances in Telephone Survey Methodology

Author: James M. Lepkowski,Clyde Tucker,J. Michael Brick,Edith D. De Leeuw,Lilli Japec,Paul J. Lavrakas,Michael W. Link,Roberta L. Sangster

Publisher: John Wiley & Sons

ISBN: 9780470173398

Category: Mathematics

Page: 704

View: 1837

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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. Advances in Telephone Survey Methodology is an all—encompassing and authoritative resource that presents a theoretical, methodological, and statistical treatment of current practices while also establishing a discussion on how state—of—the—art developments in telecommunications have and will continue to revolutionize the telephone survey process. Seventy—five prominent international researchers and practitioners from government, academic, and private sectors have collaborated on this pioneering volume to discuss basic survey techniques and introduce the future directions of the telephone survey. Concepts and findings are organized in four parts—sampling and estimation, data collection, operations, and nonresponse—equipping the reader with the needed practical applications to approach issues such as choice of target population, sample design, questionnaire construction, interviewing training, and measurement error. The book also introduces important topics that have been overlooked in previous literature, including: The impact of mobile telephones on telephone surveys and the rising presence of mobile—only households worldwide The design and construction of questionnaires using Computer Assisted Telephone Interviewing (CATI) software The emerging use of wireless communication and Voice over Internet Protocol (VoIP) versus the telephone Methods for measuring and improving interviewer performance and productivity Privacy, confidentiality, and respondent burden as main factors in telephone survey nonresponse Procedures for the adjustment of nonresponse in telephone surveys In—depth reviews of the literature presented along with a full bibliography, assembled from references throughout the world Advances in Telephone Survey Methodology is an indispensable reference for survey researchers and practitioners in almost any discipline involving research methods such as sociology, social psychology, survey methodology, and statistics. This book also serves as an excellent text for courses and seminars on survey methods at the undergraduate and graduate levels.

Computer Assisted Survey Information Collection

Author: Reginald P. Baker

Publisher: John Wiley & Sons

ISBN: 9780471178484

Category: Mathematics

Page: 680

View: 4150

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The latest computer assisted methods for survey research Computer assisted survey information collection (CASIC) methods are rapidly replacing traditional "paper and pencil" survey procedures. Researchers now apply computer technologies at every step of the survey process, from automating interviews and computerizing data collection to data capture and preparation. CASIC techniques are reshaping today's survey research and methodology --and redefining tomorrow's. Computer Assisted Survey Information Collection is the most up-to-date and authoritative resource available on CASIC methods and issues. Its comprehensive treatment provides the scope needed to evaluate past development and implementation of CASIC designs, to anticipate its future directions, and to identify new areas for research and development. Written in an array of evidentiary styles by more than 60 leading CASIC practitioners from numerous disciplines, this coherently organized volume: * Covers CASIC development and its integration into existing designs and organizations * Discusses instrument development and design * Examines survey design issues, including the incorporation of experiments * Discusses case management of automated survey systems * Evaluates training and supervision of computer assisted interviewers * Reviews self-administered surveys, including optically scannable mail surveys * Considers emerging technologies, such as voice recognition, pen-CASIC, and the Web as a data collection tool. Supplemented with copious tables, figures, and references as well as an extensive glossary, Computer Assisted Survey Information Collection provides a solid foundation in CASIC for seasoned research-survey practitioners and graduate students across a broad spectrum of social science disciplines.

Design, Evaluation, and Analysis of Questionnaires for Survey Research

Author: Willem E. Saris,Irmtraud N. Gallhofer

Publisher: John Wiley & Sons

ISBN: 1118634551

Category: Mathematics

Page: 376

View: 8350

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Praise for the First Edition “...this book is quite inspiring, giving many practical ideas for survey research, especially for designing better questionnaires.” —International Statistical Review Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: • New practice problems to provide readers with real-world experience in survey research and questionnaire design • A comprehensive outline of the steps for creating and testing survey questionnaires • Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires.Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: • New practice problems to provide readers with real-world experience in survey research and questionnaire design • A comprehensive outline of the steps for creating and testing survey questionnaires • Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. WILLEM E. SARIS, PhD, is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research’s “Helen Dinerman Award” in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the “2013 Outstanding Service Prize” of the European Survey Research Association. IRMTRAUD N. GALLHOFER, PhD, is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as a member of the Central Coordinating Team of the ESS.Reflecting modern developments in the field of survey research, the Second Edition of Design, Evaluation, and Analysis of Questionnaires for Survey Research continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process. The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes: • New practice problems to provide readers with real-world experience in survey research and questionnaire design • A comprehensive outline of the steps for creating and testing survey questionnaires • Contemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires. WILLEM E. SARIS, PhD, is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research’s “Helen Dinerman Award” in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the “2013 Outstanding Service Prize” of the European Survey Research Association. IRMTRAUD N. GALLHOFER, PhD, is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as a member of the Central Coordinating Team of the ESS.

Survey nonresponse

Author: Robert M. Groves

Publisher: Wiley-Interscience

ISBN: N.A

Category: Business & Economics

Page: 500

View: 2487

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A compendium of up-to-date research in survey nonresponse Survey Nonresponse compiles theoretical and empirical research by noted experts to provide a current review of the field. It covers the behavioral underpinnings of non-response, its impact on the error structure of survey estimates, and current methods of adjusting the estimation process to account for nonresponse. The volume combines literatures from social science and statistics to present a complete picture of modern methods of design and estimation in the face of missing survey data. The book is divided into four sections that discuss these fundamental issues: * Alternative perspectives on causes and consequences of nonresponse * Current theory and practice in survey protocols to reduce nonresponse rates * How nonresponse varies systematically by various design features * Statistical inference accounting for nonresponse Survey Nonresponse can be used as a supplementary text for graduate students in survey methodology courses, or as a reference for researchers and professionals. It offers a balanced approach, up-to-date research, and thoroughly modern thinking on this vital subject.

Total Survey Error in Practice

Author: Paul P. Biemer,Edith de Leeuw,Stephanie Eckman,Brad Edwards,Frauke Kreuter,Lars E. Lyberg,N. Clyde Tucker,Brady T. West

Publisher: John Wiley & Sons

ISBN: 1119041678

Category: Mathematics

Page: 624

View: 3469

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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. Paul P. Biemer, PhD, is distinguished fellow at RTI International and associate director of Survey Research and Development at the Odum Institute, University of North Carolina, USA. Edith de Leeuw, PhD, is professor of survey methodology in the Department of Methodology and Statistics at Utrecht University, the Netherlands. Stephanie Eckman, PhD, is fellow at RTI International, USA. Brad Edwards is vice president, director of Field Services, and deputy area director at Westat, USA. Frauke Kreuter, PhD, is professor and director of the Joint Program in Survey Methodology, University of Maryland, USA; professor of statistics and methodology at the University of Mannheim, Germany; and head of the Statistical Methods Research Department at the Institute for Employment Research, Germany. Lars E. Lyberg, PhD, is senior advisor at Inizio, Sweden. N. Clyde Tucker, PhD, is principal survey methodologist at the American Institutes for Research, USA. Brady T. West, PhD, is research associate professor in the Survey Research Center, located within the Institute for Social Research at the University of Michigan (U-M), and also serves as statistical consultant on the Consulting for Statistics, Computing and Analytics Research (CSCAR) team at U-M, USA.

Complex Surveys

A Guide to Analysis Using R

Author: Thomas Lumley

Publisher: John Wiley & Sons

ISBN: 111821093X

Category: Mathematics

Page: 296

View: 3172

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A complete guide to carrying out complex survey analysis using R As survey analysis continues to serve as a core component of sociological research, researchers are increasingly relying upon data gathered from complex surveys to carry out traditional analyses. Complex Surveys is a practical guide to the analysis of this kind of data using R, the freely available and downloadable statistical programming language. As creator of the specific survey package for R, the author provides the ultimate presentation of how to successfully use the software for analyzing data from complex surveys while also utilizing the most current data from health and social sciences studies to demonstrate the application of survey research methods in these fields. The book begins with coverage of basic tools and topics within survey analysis such as simple and stratified sampling, cluster sampling, linear regression, and categorical data regression. Subsequent chapters delve into more technical aspects of complex survey analysis, including post-stratification, two-phase sampling, missing data, and causal inference. Throughout the book, an emphasis is placed on graphics, regression modeling, and two-phase designs. In addition, the author supplies a unique discussion of epidemiological two-phase designs as well as probability-weighting for causal inference. All of the book's examples and figures are generated using R, and a related Web site provides the R code that allows readers to reproduce the presented content. Each chapter concludes with exercises that vary in level of complexity, and detailed appendices outline additional mathematical and computational descriptions to assist readers with comparing results from various software systems. Complex Surveys is an excellent book for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. It is also a practical reference guide for applied statisticians and practitioners in the social and health sciences who use statistics in their everyday work.

Analysis of Poverty Data by Small Area Estimation

Author: Monica Pratesi

Publisher: John Wiley & Sons

ISBN: 1118815017

Category: BUSINESS & ECONOMICS

Page: 420

View: 6387

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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. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.

Analysis of Survey Data

Author: R. L. Chambers,C. J. Skinner

Publisher: John Wiley & Sons

ISBN: 0470864397

Category: Mathematics

Page: 398

View: 346

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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. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.

Online Panel Research

A Data Quality Perspective

Author: Mario Callegaro,Reginald P. Baker,Jelke Bethlehem,Anja S. Göritz,Jon A. Krosnick,Paul J. Lavrakas

Publisher: John Wiley & Sons

ISBN: 1118763513

Category: Mathematics

Page: 512

View: 2016

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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. Yet despite their widespread use, remarkably little is known about the quality of the resulting data. This edited volume is one of the first attempts to carefully examine the quality of the survey data being generated by online samples. It describes some of the best empirically-based research on what has become a very important yet controversial method of collecting data. Online Panel Research presents 19 chapters of previously unpublished work addressing a wide range of topics, including coverage bias, nonresponse, measurement error, adjustment techniques, the relationship between nonresponse and measurement error, impact of smartphone adoption on data collection, Internet rating panels, and operational issues. The datasets used to prepare the analyses reported in the chapters are available on the accompanying website: www.wiley.com/go/online_panel Covers controversial topics such as professional respondents, speeders, and respondent validation. Addresses cutting-edge topics such as the challenge of smartphone survey completion, software to manage online panels, and Internet and mobile ratings panels. Discusses and provides examples of comparison studies between online panels and other surveys or benchmarks. Describes adjustment techniques to improve sample representativeness. Addresses coverage, nonresponse, attrition, and the relationship between nonresponse and measurement error with examples using data from the United States and Europe. Addresses practical questions such as motivations for joining an online panel and best practices for managing communications with panelists. Presents a meta-analysis of determinants of response quantity. Features contributions from 50 international authors with a wide variety of backgrounds and expertise. This book will be an invaluable resource for opinion and market researchers, academic researchers relying on web-based data collection, governmental researchers, statisticians, psychologists, sociologists, and other research practitioners.

Designing and Conducting Business Surveys

Author: Ger Snijkers,Gustav Haraldsen,Jacqui Jones,Diane Willimack

Publisher: John Wiley & Sons

ISBN: 1118447913

Category: Mathematics

Page: 640

View: 8308

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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. The book brings together what is currently known about planning, designing, and conducting business surveys, with producing and disseminating statistics or other research results from the collected data. This knowledge draws upon a variety of disciplines such as survey methodology, organizational sciences, sociology, psychology, and statistical methods. The contents of the book formulate a comprehensive guide to scholarly material previously dispersed among books, journal articles, and conference papers. This book provides guidelines that will help the reader make educated trade-off decisions that minimize survey errors, costs, and response burden, while being attentive to survey data quality. Major topics include: • Determining the survey content, considering user needs, the business context, and total survey quality • Planning the survey as a project • Sampling frames, procedures, and methods • Questionnaire design and testing for self-administered paper, web, and mixed-mode surveys • Survey communication design to obtain responses and facilitate the business response process • Conducting and managing the survey using paradata and project management tools • Data processing, including capture, editing, and imputation, and dissemination of statistical outputs Designing and Conducting Business Surveys is an indispensable resource for anyone involved in designing and/or conducting business or organizational surveys at statistical institutes, central banks, survey organizations, etc.; producing statistics or other research results from business surveys at universities, research organizations, etc.; or using data produced from business surveys. The book also lays a foundation for new areas of research in business surveys.

Statistical Matching

Theory and Practice

Author: Marcello D'Orazio,Marco Di Zio,Mauro Scanu

Publisher: John Wiley & Sons

ISBN: 0470023546

Category: Mathematics

Page: 268

View: 8745

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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. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.

Improving Survey Response

Lessons Learned from the European Social Survey

Author: Ineke Stoop,Jaak Billiet,Achim Koch,Rory Fitzgerald

Publisher: John Wiley & Sons

ISBN: 9780470688328

Category: Mathematics

Page: 340

View: 8759

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High response rates have traditionally been considered as one of the main indicators of survey quality. Obtaining high response rates is sometimes difficult and expensive, but clearly plays a beneficial role in terms of improving data quality. It is becoming increasingly clear, however, that simply boosting response to achieve a higher response rate will not in itself eradicate nonresponse bias. In this book the authors argue that high response rates should not be seen as a goal in themselves, but rather as part of an overall survey quality strategy based on random probability sampling and aimed at minimising nonresponse bias. Key features of Improving Survey Response: A detailed coverage of nonresponse issues, including a unique examination of cross-national survey nonresponse processes and outcomes. A discussion of the potential causes of nonresponse and practical strategies to combat it. A detailed examination of the impact of nonresponse and of techniques for adjusting for it once it has occurred. Examples of best practices and experiments drawn from 25 European countries. Supplemented by the European Social Survey (ESS) websites, containing materials for the measurement and analysis of nonresponse based on detailed country-level response process datasets. The book is designed to help survey researchers and those commissioning surveys by explaining how to prioritise the reduction of nonresponse bias rather than focusing on increasing the overall response rate. It shows substantive researchers how nonresponse can impact on substantive outcomes.

Sampling Statistics

Author: Wayne A. Fuller

Publisher: John Wiley & Sons

ISBN: 1118211111

Category: Mathematics

Page: 472

View: 8892

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Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the design of experiments. Sampling Statistics presents estimation techniques and sampling concepts to facilitate the application of model-based procedures to survey samples. The book begins with an introduction to standard probability sampling concepts, which provides the foundation for studying samples selected from a finite population. The development of the theory of complex sampling methods is detailed, and subsequent chapters explore the construction of estimators, sample design, replication variance estimation, and procedures such as nonresponse adjustment and small area estimation where models play a key role. A final chapter covers analytic studies in which survey data are used for the estimation of parameters for a subject matter model. The author draws upon his extensive experience with survey samples in the book's numerous examples. Both the production of "general use" databases and the analytic study of a limited number of characteristics are discussed. Exercises at the end of each chapter allow readers to test their comprehension of the presented concepts and techniques, and the references provide further resources for study. Sampling Statistics is an ideal book for courses in survey sampling at the graduate level. It is also a valuable reference for practicing statisticians who analyze survey data or are involved in the design of sample surveys.

Cognitive Interviewing Methodology

Author: Kristen Miller,Valerie Chepp,Stephanie Willson,Jose Luis Padilla

Publisher: John Wiley & Sons

ISBN: 1118589629

Category: Mathematics

Page: 206

View: 1767

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AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES Providing a comprehensive approach to cognitive interviewing in the field of survey methodology, Cognitive Interviewing Methodology delivers a clear guide that draws upon modern, cutting-edge research from a variety of fields. Each chapter begins by summarizing the prevailing paradigms that currently dominate the field of cognitive interviewing. Then underlying theoretical foundations are presented, which supplies readers with the necessary background to understand newly-evolving techniques in the field. The theories lead into developed and practiced methods by leading practitioners, researchers, and/or academics. Finally, the edited guide lays out the limitations of cognitive interviewing studies and explores the benefits of cognitive interviewing with other methodological approaches. With a primary focus on question evaluation, Cognitive Interviewing Methodology also includes: Step-by-step procedures for conducting cognitive interviewing studies, which includes the various aspects of data collection, questionnaire design, and data interpretation Newly developed tools to benefit cognitive interviewing studies as well as the field of question evaluation, such as Q-Notes, a data entry and analysis software application, and Q-Bank, an online resource that houses question evaluation studies A unique method for questionnaire designers, survey managers, and data users to analyze, present, and document survey data results from a cognitive interviewing study An excellent reference for survey researchers and practitioners in the social sciences who utilize cognitive interviewing techniques in their everyday work, Cognitive Interviewing Methodology is also a useful supplement for courses on survey methods at the upper-undergraduate and graduate-level.

Methodology of Longitudinal Surveys

Author: Peter Lynn

Publisher: John Wiley & Sons

ISBN: 9780470743911

Category: Mathematics

Page: 414

View: 9680

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Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers. Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics. This book: Covers all the main stages in the design, implementation and analysis of longitudinal surveys. Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection. Discusses the state of the art in sampling, weighting and non response adjustment. Features worked examples throughout using real data. Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias. Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field

Applied Survey Methods

A Statistical Perspective

Author: Jelke Bethlehem

Publisher: John Wiley & Sons

ISBN: 9780470494981

Category: Mathematics

Page: 416

View: 8760

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A complete, hands-on guide to the use of statistical methods for obtaining reliable and practical survey research Applied Survey Methods provides a comprehensive outline of the complete survey process, from design to publication. Filling a gap in the current literature, this one-of-a-kind book describes both the theory and practical applications of survey research with an emphasis on the statistical aspects of survey methods. The book begins with a brief historic overview of survey research methods followed by a discussion that details the needed first steps for carrying out a survey, including the definition of a target population, the selection of a sampling frame, and the outline of a questionnaire with several examples that include common errors to avoid in the wording of questions. Throughout the book, the author provides an accessible discussion on the methodological problems that are associated with the survey process, outlining real data and examples while also providing insight on the future of survey research. Chapter coverage explores the various aspects of the survey process and the accompanying numerical techniques, including: Simple and composite sampling designs Estimators Data collection and editing The quality of results The non-response problem Weighting adjustments and methods Disclosure control The final chapter addresses the growing popularity of Web surveys, and the associated methodological problems are discussed, including solutions to common pitfalls. Exercises are provided throughout with selected answers included at the end of the book, while a related Web site features additional solutions to exercises and a downloadable demo version of the Blaise system of computer-assisted interviewing. Access to the freely available SimSam software is also available on the related Web site and provides readers with the tools needed to simulate samples from finite populations as well as visualize the effects of sample size, non-response, and the use of different estimation procedures. Applied Survey Methods is an excellent book for courses on survey research and non-response in surveys at the upper-undergraduate and graduate levels. It is also a useful reference for practicing statisticians and survey methodologists who work in both government and private research sectors.

Introduction to Survey Quality

Author: Paul P. Biemer,Lars E. Lyberg

Publisher: John Wiley & Sons

ISBN: 0471458724

Category: Mathematics

Page: 424

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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. Spanning a range of topics dealing with the quality of data collected through the survey process, they focus on such key issues as: Major sources of survey error, examining the origins of each error source most successful methods for reducing errors from those sources Methods most often used in practice for evaluating the effects of the source on total survey error Implications of improving survey quality for organizational management and costs

Small Area Estimation

Author: J. N. K. Rao,Isabel Molina

Publisher: John Wiley & Sons

ISBN: 1118735722

Category: Mathematics

Page: 480

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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." —Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applications Numerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.