Wiley Series in Survey Methodology - Böcker

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. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed. Estimation in Surveys with Nonresponse provides an overview of these techniques, presenting the view of nonresponse as a normal (albeit undesirable) feature of a sample survey, one whose potentially harmful effects are to be minimised. Builds in the nonresponse feature of survey data collection as an integral part of the theory, both for point estimation and for variance estimation.Promotes weighting through calibration as a new and powerful technique for surveys with nonresponse.Highlights the analysis of nonresponse bias in estimates and methods to minimize this bias.Includes computational tools to help identify the best variables for calibration.Discusses the use of imputation as a complement to weighting by calibration.Contains guidelines for dealing with frame imperfections and coverage errors.Features worked examples throughout the text, using real data.The accessible style of Estimation in Surveys with Nonresponse will make this an invaluable tool for survey methodologists in national statistics agencies and private survey agencies. Researchers, teachers, and students of statistics, social sciences and economics will benefit from the clear presentation and numerous examples.

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

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.

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.

A trusted classic on the key methods in population sampling—now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade.The Fourth Edition successfully guides the reader through the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures. Rather than employ a heavily mathematical approach, the authors present illustrative examples that demonstrate the rationale behind common steps in the sampling process, from creating effective surveys to analyzing collected data. Along with established methods, modern topics are treated through the book's new features, which include: A new chapter on telephone sampling, with coverage of declining response rates, the creation of "do not call" lists, and the growing use of cellular phonesA new chapter on sample weighting that focuses on adjustments to weight for nonresponse, frame deficiencies, and the effects of estimator instabilityAn updated discussion of sample survey data analysis that includes analytic procedures for estimation and hypothesis testingA new section on Chromy's widely used method of taking probability proportional to size samples with minimum replacement of primary sampling unitsAn expanded index with references on the latest research in the fieldAll of the book's examples and exercises can be easily worked out using various software packages including SAS, STATA, and SUDAAN, and an extensive FTP site contains additional data sets. With its comprehensive presentation and wealth of relevant examples, Sampling of Populations, Fourth Edition is an ideal book for courses on survey sampling at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians who would like to refresh their knowledge of sampling techniques.

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. The author outlines the consequences of ignoring survey measurement errors and also discusses ways to detect and estimate the impact of these errors. This book also provides recommendations of improving the quality of survey data.Logically organized and clearly written, this book: Deconstructs the data gathering process into six main elements of the response process: question adequacy, comprehension, accessibility, retrieval, motivation, and communicationProvides an exhaustive review of valuable reliability estimation techniques that can be applied to survey dataIdentifies the types of questions and interviewer practices that are essential to the collection of reliable dataAddresses hypotheses regarding which survey questions, sources of information, and questionnaire formats produce the most reliable dataIn conjunction with research data gathered on nearly 500 survey measures and the application of an empirical approach grounded in classical measurement theory, this book discusses the sources of measurement error and provides the tools necessary for improving survey data collection methods.Margins of Error enables statisticians and researchers in the fields of public opinion and survey research to design studies that can detect, estimate, and reduce measurement errors that may have previously gone undetected. This book also serves as a supplemental textbook for both undergraduate and graduate survey methodology courses.

A unique collaboration featuring the latest methodologies and research on multi- and cross-national surveys Over the past two decades, the relevance of cross-national and cross-cultural methodologies has heightened across various fields of study. Responding to increasing cultural diversity and rapid changes in how research is conducted, Survey Methods in Multinational, Multiregional, and Multicultural Contexts addresses the need for refined tools and improved procedures in cross-cultural and cross-national studies worldwide.Based on research submitted to the International Conference on Multinational, Multicultural, and Multiregional Survey Methods (3MC), this book identifies important changes in comparative methodology approaches, outlines new findings, and provides insight into future developments in the field. Some of the world's leading survey researchers gather in this volume to address the need for a standard framework that promotes quality assurance and quality control in survey research, and its impact on various stages of the survey life cycle, including study design and organization, cross-national sampling, testing and pretesting, data collection, and input and output variable harmonization. Self-contained chapters feature coverage of various topics, such as: Question and questionnaire design, from both global and study-specific perspectives The construction and evaluation of survey translations and instrument adaptations The effects of cultural difference on the perception of question and response categories Non-response issues Analysis in comparative contexts, featuring discussion of polytomous item response theory, categorization problems, and Multi-Trait-Multi-Methods (MTMM) The significance of evolving methodologies for current international survey programs, including the European Social Survey, the International Social Survey Programme, and the Gallup World Poll Survey Methods in Multinational, Multiregional, and Multicultural Contexts is a valuable supplement for courses on comparative survey methods at the upper-undergraduate and graduate levels. It also serves as an insightful reference for professionals who design, implement, and analyze comparative research in the areas of business, public health, and the social and behavioral sciences.

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.

Combining theoretical, methodological, and practical aspects, Latent Class Analysis of Survey Error successfully guides readers through the accurate interpretation of survey results for quality evaluation and improvement. This book is a comprehensive resource on the key statistical tools and techniques employed during the modeling and estimation of classification errors, featuring a special focus on both latent class analysis (LCA) techniques and models for categorical data from complex sample surveys. Drawing from his extensive experience in the field of survey methodology, the author examines early models for survey measurement error and identifies their similarities and differences as well as their strengths and weaknesses. Subsequent chapters treat topics related to modeling, estimating, and reducing errors in surveys, including: Measurement error modeling forcategorical dataThe Hui-Walter model and othermethods for two indicatorsThe EM algorithm and its role in latentclass model parameter estimationLatent class models for three ormore indicatorsTechniques for interpretation of modelparameter estimatesAdvanced topics in LCA, including sparse data, boundary values, unidentifiability, and local maximaSpecial considerations for analyzing datafrom clustered and unequal probability samples with nonresponseThe current state of LCA and MLCA (multilevel latent class analysis), and an insightful discussion on areas for further researchThroughout the book, more than 100 real-world examples describe the presented methods in detail, and readers are guided through the use of lEM software to replicate the presented analyses. Appendices supply a primer on categorical data analysis, and a related Web site houses the lEM software.Extensively class-tested to ensure an accessible presentation, Latent Class Analysis of Survey Error is an excellent book for courses on measurement error and survey methodology at the graduate level. The book also serves as a valuable reference for researchers and practitioners working in business, government, and the social sciences who develop, implement, or evaluate surveys.

A complete, hands-on guide to the use of statistical methods for obtaining reliable and practical survey researchApplied 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 designsEstimatorsData collection and editingThe quality of resultsThe non-response problemWeighting adjustments and methodsDisclosure controlThe 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.

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.

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."—TechnometricsThis 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 surveysNew 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.

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.

This set features: Survey Methodology, Second Edition by Robert M. Groves, Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, Roger Tourangeau (978-0-470-46546-2)Nonresponse in Household Interview Surveys by Robet M. Groves and Mick P. Couper (978-0-471-18245-0)Telephone Survey Methodology by Robert M. Groves, Paul P. Biemer, Lars E. Lyberg, James T. Massey, William L. Nicholls, II, and Joseph Waksberg (Editors) (978-0-471209560)Survey Nonresponse by Robert M. Groves, Don A. Dillman, John L. Eltinge, Roderick J. A. Little (978-0-471396277)Survey Errors and Survey Costs by Robert M. Groves (978-0-471-67851-9)Measurement Errors in Surveys by Paul P. Biemer, Robert M. Groves, Lars E. Lyberg, Nancy A. Mathiowetz, and Seymour Sudman (Editors) (978-0-471-69280-5)

A much-needed reference on survey sampling and its applications that presents the latest advances in the fieldSeeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of non-sampling errors featuring a range of topics from the problems of coverage to the treatment of non-response. In addition, the book includes real examples, applications, and a large set of exercises with solutions.Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and two-stage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: post-stratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more. Provides an up-to-date review of the theory of samplingDiscusses the foundation of inference in survey sampling, in particular, the model-based and design-based frameworksReviews the problems of application of the theory into practiceAlso deals with the treatment of non sampling errorsSampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses.

Insightful observations on common question evaluation methods and best practices for data collection in survey research Featuring contributions from leading researchers and academicians in the field of survey research, Question Evaluation Methods: Contributing to the Science of Data Quality sheds light on question response error and introduces an interdisciplinary, cross-method approach that is essential for advancing knowledge about data quality and ensuring the credibility of conclusions drawn from surveys and censuses. Offering a variety of expert analyses of question evaluation methods, the book provides recommendations and best practices for researchers working with data in the health and social sciences.Based on a workshop held at the National Center for Health Statistics (NCHS), this book presents and compares various question evaluation methods that are used in modern-day data collection and analysis. Each section includes an introduction to a method by a leading authority in the field, followed by responses from other experts that outline related strengths, weaknesses, and underlying assumptions. Topics covered include: Behavior codingCognitive interviewingItem response theoryLatent class analysisSplit-sample experimentsMultitrait-multimethod experimentsField-based data methodsA concluding discussion identifies common themes across the presented material and their relevance to the future of survey methods, data analysis, and the production of Federal statistics. Together, the methods presented in this book offer researchers various scientific approaches to evaluating survey quality to ensure that the responses to these questions result in reliable, high-quality data.Question Evaluation Methods is a valuable supplement for courses on questionnaire design, survey methods, and evaluation methods at the upper-undergraduate and graduate levels. it also serves as a reference for government statisticians, survey methodologists, and researchers and practitioners who carry out survey research in the areas of the social and health sciences.

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 outputsDesigning 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.

Explore the practices and cutting-edge research on the new and exciting topic of paradataParadata are measurements related to the process of collecting survey data.Improving Surveys with Paradata: Analytic Uses of Process Information is the most accessible and comprehensive contribution to this up-and-coming  area in survey methodology.Featuring contributions from leading experts in the field, Improving Surveys with Paradata: Analytic Uses of Process Information introduces and reviews issues involved in the collection and analysis of paradata. The book presents readers with an overview of the indispensable techniques and new, innovative research on improving survey quality and total survey error. Along with several case studies, topics include: Using paradata to monitor fieldwork activity in face-to-face, telephone, and web surveysGuiding intervention decisions during data collectionAnalysis of measurement, nonresponse, and coverage error via paradataProviding a practical, encompassing guide to the subject of paradata, the book is aimed at both producers and users of survey data. Improving Surveys with Paradata: Analytic Uses of Process The book also serves as an excellent resource for courses on data collection, survey methodology, and nonresponse and measurement error.

How to apply statistical methods to survey data--a guide toeffective analysis of health surveys. With large health surveys becoming increasingly available forpublic use, researchers with little experience in survey methodsare often faced with analyzing data from surveys to addressscientific and programmatic questions. This practical book providesstatistical techniques for use in survey analysis, making healthsurveys accessible to statisticians, biostatisticians,epidemiologists, and health researchers. The authors clearlyexplain the theory and methods of survey analysis along withreal-world applications. They draw on their work at the NationalInstitutes of Health as well as up-to-date information from acrossthe literature to present:* The sampling background necessary to understand health surveys.* The application of such techniques as t-tests, linear regression,logistic regression, and survival analysis to survey data.* The use of sample weights in survey data analysis.* Dealing with complications in variance estimation in large healthsurveys.* Applications involving cross-sectional, longitudinal, andmultiple cross-sectional surveys, and the use of surveys to performpopulation- based case-control analyses.* Guidance on the correct use of statistical methods found insoftware packages.* Extensive bibliography.

The latest computer assisted methods for survey research Computer assisted survey information collection (CASIC) methods arerapidly replacing traditional "paper and pencil" survey procedures.Researchers now apply computer technologies at every step of thesurvey process, from automating interviews and computerizing datacollection to data capture and preparation. CASIC techniques arereshaping today's survey research and methodology --and redefiningtomorrow's. Computer Assisted Survey Information Collection is the mostup-to-date and authoritative resource available on CASIC methodsand issues. Its comprehensive treatment provides the scope neededto evaluate past development and implementation of CASIC designs,to anticipate its future directions, and to identify new areas forresearch and development. Written in an array of evidentiary stylesby more than 60 leading CASIC practitioners from numerousdisciplines, this coherently organized volume:* Covers CASIC development and its integration into existingdesigns and organizations* Discusses instrument development and design* Examines survey design issues, including the incorporation ofexperiments* Discusses case management of automated survey systems* Evaluates training and supervision of computer assistedinterviewers* Reviews self-administered surveys, including optically scannablemail 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 wellas an extensive glossary, Computer Assisted Survey InformationCollection provides a solid foundation in CASIC for seasonedresearch-survey practitioners and graduate students across a broadspectrum of social science disciplines.

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.

Peruse the history of survey research and the essential conceptsfor data quality. With an emphasis on total survey error, theauthors review principles and concepts in the field and examineimportant unresolved issues in survey methods. Spanning a range oftopics dealing with the quality of data collected through thesurvey process, they focus on such key issues as:* Major sources of survey error, examining the origins of eacherror source most successful methods for reducing errors from thosesources* Methods most often used in practice for evaluating the effectsof the source on total survey error* Implications of improving survey quality for organizationalmanagement and costs

Noted survey experts present recent developments in telephone survey techniques from around the world, describing work in commercial settings, academic research, and governmental statistical agencies. There are reports from the United States, several European countries, and Australia on trends in coverage of household populations, effects due to mode of data collection, and the state of the art in technology. Also covered are choice of target population, sample design, questionnaire construction, interviewing techniques, measurement error issues, nonresponse characteristics, administrative issues, and the use of Computer Assisted Telephone Interviewing (CATI). Includes in-depth reviews of the literature.

Survey methods research--an interdisciplinary approach. Introducing the theory and tools of cognitive aspects of survey methodology (CASM)--a movement that has greatly contributed to the evolving field of survey methods research--this collection of monographs explores advances in the use of cognitive psychology and other sciences to improve the quality of data collected in surveys. In 22 articles commissioned specifically for this volume, leading survey researchers, social scientists, and statisticians from around the globe evaluate the advantages of interdisciplinary survey techniques, focusing on the many contributions of the CASM movement and drawing on such disciplines as statistics, cognitive psychology, sociology, behavioral sciences, anthropology, linguistics, and computer sciences. The authors explain basic concepts and methodologies and demonstrate the application of cognitive theory to all phases of survey research, including data processing, analysis, presentation, and administration. They provide a critical review of the history and findings of CASM-oriented research and describe useful cognitive models used in survey testing and design. Also, the authors discuss the expanding role of computer technologies and statistical advances in the interdisciplinary aspects of survey methods and draw a roadmap for interdisciplinary survey research into the twenty-first century. Clearly written and supplemented with extensive references and more than 80 figures and charts, Cognition and Survey Research is an indispensable guide for statisticians and professionals who would like to be at the cutting edge of interdisciplinary survey methods research involving the social, cognitive, computer, or statistical sciences.

Leslie Kish formulated, among other things, the "margin of error," an assessment of the accuracy of opinion polls. He was elected president of the American Statistical Association; and was a fellow of the American Academy of Arts and Sciences; the American Association for the Advancement of Science; and the Royal Statistical Society of England.  A co-founder of the Institute for Social Research at the University of Michigan and of the International Association of Survey Statisticians, Kish was at once a remarkable teacher, thinker, and leader in the field of survey statistics. This volume collects, for the first time, Kish's most important papers.

Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential in survey sampling for nearly three decades, yet research findings on this model-based approach are scattered in disparate areas of the statistical literature. Finite Population Sampling and Inference: A Prediction Approach presents for the first time a unified treatment of sample design and estimation for finite populations from a prediction point of view, providing readers with access to a wealth of theoretical results, including many new results and, a variety of practical applications. Geared to theoretical statisticians and practitioners alike, the book discusses all topics from the ground up and clearly explains the relation of the prediction approach to the traditional design-based randomization approach. Key features include:* Special emphasis on linking survey sampling to mainstream statistics through extensive use of general linear models* A liberal use of simulation studies, numerical examples, and exercises illustrating theoretical results* Numerous statistical graphics showing simulation results and properties of estimates* A library of S-Plus computer functions plus six real populations, available via ftp* Over 260 references to finite population sampling, linear models, and other relevant literature

An interdisciplinary look at interaction in the standardized surveyinterview This volume presents a theoretical and empirical inquiry into theinteraction between interviewers and respondents in standardizedresearch interviews. The editors include a range of articles thatshowcase the perspectives of conversation analysts,ethnomethodologists, and survey methodologists, to gain a morecomplete picture of interaction in the standardized surveyinterview than was previously available. This book is the first to focus solely on the interactionalsubstrate or conversational architecture of interviewing. It offersa range of insights into standardized interviewing as interactionand forms a bridge between survey methodology and the study ofinteraction and tacit practices. The articles are arranged intofour subject groups: theoretical orientations, survey recruitment,interaction during the substantive interview, and interaction andsurvey data quality. Articles include:* Interactions in telephone surveys* Recruitment of respondents* Respondent laughter* Interaction coding* Impact of technology on interaction* Occasions for interviewer intervention Standardization and Tacit Knowledge serves as a one-of-a-kindreference for survey methodologists, linguists, and researchers andalso as a postgraduate coursebook in survey interviewing.

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. Although comparative survey research builds on and benefits from best practices established in monocultural research, cross-cultural research requires methodologies which address the central issues of equivalence of measurement and comparability of findings. The literature dealing with these issues has tended to be piecemeal, scattered across disciplines, and focused on specific questionnaires and the needs of single disciplines. This book provides the first systematic, interdisciplinary and hands-on treatment of the issues of greatest saliency for comparative survey research within and across countries. Breaking new ground in its approach, Cross-Cultural Survey Methods describes how to recognize and deal with the major obstacles at each stage of researching, striving for equivalence and comparability. Topics include:* Designing and crafting questionnaires for comparative subjects, including questionnaire translation* Error and bias issues in cross-national surveys* Techniques for analyzing bias and equivalence* Statistical techniques for substantive analysis and the use of multidimensional scaling to analyze bias and research questions* Important issues of preparing data for secondary analysis, such as data access, and documentation* An introduction to meta-analysis in comparative survey research Consistently readable and grounded in the expertise of noted international authorities, this volume fills an increasing need for practical methodologies for cross-cultural research.