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 ...
Author: Paul P. Biemer
Publisher: John Wiley & Sons
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.
This book features 23 chapters on survey interviewing by these worldwide leaders in the theory and practice of survey interviewing.
Author: Kristen Olson
Publisher: CRC Press
Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for surveys that require high levels of participation, include difficult-to-survey populations, and collect biophysical data. Survey interviewing is complex, multifaceted, and challenging. Interviewers are responsible for locating sampled units, contacting sampled individuals and convincing them to cooperate, asking questions on a variety of topics, collecting other kinds of data, and providing data about respondents and the interview environment. Careful attention to the methodology that underlies survey interviewing is essential for interviewer-administered data collections to succeed. In 2019, survey methodologists, survey practitioners, and survey operations specialists participated in an international workshop at the University of Nebraska-Lincoln to identify best practices for surveys employing interviewers and outline an agenda for future methodological research. This book features 23 chapters on survey interviewing by these worldwide leaders in the theory and practice of survey interviewing. Chapters include: The legacy of Dr. Charles F. Cannell’s groundbreaking research on training survey interviewers and the theory of survey interviewing Best practices for training survey interviewers Interviewer management and monitoring during data collection The complex effects of interviewers on survey nonresponse Collecting survey measures and survey paradata in different modes Designing studies to estimate and evaluate interviewer effects Best practices for analyzing interviewer effects Key gaps in the research literature, including an agenda for future methodological research Written for managers of survey interviewers, survey methodologists, and students interested in the survey data collection process, this unique reference uses the Total Survey Error framework to examine optimal approaches to survey interviewing, presenting state-of-the-art methodological research on all stages of the survey process involving interviewers. Acknowledging the important history of survey interviewing while looking to the future, this one-of-a-kind reference provides researchers and practitioners with a roadmap for maximizing data quality in interviewer-administered surveys.
Introduction to Survey Quality summarizes the history of survey research and outlines the essential concepts for data quality.
Author: Paul P. Biemer
Publisher: John Wiley & Sons
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
Measurement: A scientific survey “uses reasonable tested methods to reduce and
account for errors of measurement that ... At the same time, the AAPOR
preliminary statement admits that “in practice all sample surveys fall short of
perfection in ...
Author: Herbert F. Weisberg
Publisher: University of Chicago Press
In 1939, George Gallup's American Institute of Public Opinion published a pamphlet optimistically titled The New Science of Public Opinion Measurement. At the time, though, survey research was in its infancy, and only now, six decades later, can public opinion measurement be appropriately called a science, based in part on the development of the total survey error approach. Herbert F. Weisberg's handbook presents a unified method for conducting good survey research centered on the various types of errors that can occur in surveys—from measurement and nonresponse error to coverage and sampling error. Each chapter is built on theoretical elements drawn from specific disciplines, such as social psychology and statistics, and follows through with detailed treatments of the specific types of error and their potential solutions. Throughout, Weisberg is attentive to survey constraints, including time and ethical considerations, as well as controversies within the field and the effects of new technology on the survey process—from Internet surveys to those completed by phone, by mail, and in person. Practitioners and students will find this comprehensive guide particularly useful now that survey research has assumed a primary place in both public and academic circles.
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 ...
Author: Robert M. Groves
Publisher: John Wiley & Sons
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.
New to this edition is coverage of: Improved techniques for evaluating survey questions The latest options available to researchers in using the computer and the internet for surveys Recent methodological findings to enhance survey research ...
Author: Floyd J. Fowler, Jr.
Popular with over 49,000 readers for giving those who want to collect, analyze, or read about survey data, a sound basis for evaluating how each aspect of a survey can affect its precision, accuracy, and credibility, this new edition presents the latest methodological knowledge on survey research. New to this edition is coverage of: Improved techniques for evaluating survey questions The latest options available to researchers in using the computer and the internet for surveys Recent methodological findings to enhance survey research With an emphasis on the importance of minimizing nonsampling errors through superior question design, quality interviewing, and high response rates, this book helps readers understand the relationship of data collection to figures and statistics based on the survey—and how much confidence to place in the reported results based on this relationship.
For example, what allocation of the sample to strata should be chosen to
minimize the sampling variance of the overall sample mean, if there is $100,000
available for the survey? In practice many survey designs are fitted within cost ...
Author: Robert M. Groves
Publisher: John Wiley & Sons
The Wiley-Interscience Paperback Series consists of selected booksthat have been made more accessible to consumers in an effort toincrease global appeal and general circulation. With these newunabridged softcover volumes, Wiley hopes to extend the lives ofthese works by making them available to future generations ofstatisticians, mathematicians, and scientists. "Survey Errors and Survey Costs is a well-written,well-presented, and highly readable text that should be on everyerror-conscious statistician’s bookshelf. Any courses thatcover the theory and design of surveys should certainly have SurveyErrors and Survey Costs on their reading lists." –Phil Edwards MEL, Aston University Science Park, UK Review in The Statistician, Vol. 40, No. 3, 1991 "This volume is an extremely valuable contribution to surveymethodology. It has many virtues: First, it provides a framework inwhich survey errors can be segregated by sources. Second, Groveshas skillfully synthesized existing knowledge, bringing together inan easily accessible form empirical knowledge from a variety ofsources. Third, he has managed to integrate into a common frameworkthe contributions of several disciplines. For example, the work ofpsychometricians and cognitive psychologists is made relevant tothe research of econometricians as well as the field experience ofsociologists. Finally, but not least, Groves has managed to presentall this in a style that is accessible to a wide variety of readersranging from survey specialists to policymakers." –Peter H. Rossi University of Massachusetts at Amherst Review in Journal of Official Statistics, January 1991
It is useful to consider survey quality as a three-level concept. ... producer
establish the required levels of the different framework dimensions given
constraints on costs and the total survey error (MSE). In practice cost is the
predominant constraint and standard errors or indicators of the magnitude of
individual error sources ...
Author: Edith D. de Leeuw
Taking into account both traditional and emerging modes, this comprehensive new Handbook covers all major methodological and statistical issues in designing and analyzing surveys. With contributions from the world's leading survey methodologists and statisticians, this invaluable new resource provides guidance on collecting survey data and creating meaningful results. Featuring examples from a variety of countries, the book reviews such things as how to deal with sample designs, write survey questions, and collect data on the Internet. A thorough review of the procedures associated with multiple modes of collecting sample survey information and applying that combination of methods that fit the situation best is included. The International Handbook of Survey Methodology opens with the foundations of survey design, ranging from sources of error, to ethical issues. This is followed by a section on design that reviews sampling challenges and tips on writing and testing questions for multiple methods. Part three focuses on data collection, from face-to-face interviews, to Internet and interactive voice response, to special challenges involved in mixing these modes within one survey. Analyzing data from both simple and complex surveys is then explored, as well as procedures for adjusting data. The book concludes with a discussion of maintaining quality. Intended for advanced students and researchers in the behavioral, social, and health sciences, this "must have" resource will appeal to those interested in conducting or using survey data from anywhere in the world, especially those interested in comparing results across countries. The book also serves as a state-of-the-art text for graduate level courses and seminars on survey methodology. A companion website contains additional readings and examples.
Total survey error is the difference between the estimate produced by a sample
survey and the true or population value . Unfortunately , the ... In practice ,
estimates of total survey error are difficult to generate and rarely attempted (
Author: David Dooley
This book presents a balanced presentation of research methods across disciplinary boundaries--both psychological and sociological, laboratory experiments and survey methods, quantitative and qualitative techniques. It offers a coherent, organizing theme, in this case, that of validity in its various guises-internal, external, inferential statistical, and measurement construct. The organizing theme is validity--the extent to which the researcher's conclusion can be judged credible. Validity is broken down into several components each of which is developed in one or more chapters including construct validity (both measurement and experimental), statistical inference validity, internal validity, and external validity. These validity types are then revisited as appropriate in the treatments of the several basic research approaches--true experimental, quasi-experimental, correlational, and qualitative. Ideal for professionals belonging to various psychological or sociological association or anyone interested in review or updating their current knowledge.
If the effect of complete non - response is to be taken into account ( to assess the
total impact of item non - response ) , a ... Sampling error It is widely recognised
as good practice for survey results to be accompanied by detailed information on
Author: Ralf Hussmanns
Publisher: International Labour Organization
This manual is based on the international standards adopted by the 13th International Conference of Labour Statisticians in October 1982. One of its main objectives is to explain the international concepts and definitions in more detail than in the 1982 conference resolution.
The analysis projects also build on students' knowledge of total survey error and
the design and methods of data ... used in health surveys, and to introduce the
students to the relevant ethical norms in both research and professional practice.
Author: Steve H. Murdock
Publisher: Springer Science & Business Media
The topic of Applied Demography is clearly evolving as its practitioners become involved in the emerging trends of the Twenty-First Century. This book derived from the first post-2000 national conference on Applied Demography, held in San Antonio, Texas, January 7-9, 2007, at The University of Texas. The conference presented a unique opportunity and this resulting work provides a cross-sectional view of Applied Demography and an evaluation of its likely future.
3 TOTAL SURVEY DESIGN The attempt to control the total error of estimates
considering all sources of error has come to be called total survey design .
During the design phase of the survey , the practice of total survey design
Author: Judith T. Lessler
Focuses on three areas of nonsampling survey errors: frame, nonresponse and measurement error. Each one is analysed by defining key terms, formulating known effects and examining suggested remedies. Also, the terminology related to each source of error is reviewed while historically tracing the major contributions to the literature.
Refining the total survey error perspective. ... Retrieved 2013 Jan 5 from
Guidelines for Best Practice in Cross-Cultural Surveys. ... barriers on the health
care of Latinos in the United States: a review of the literature and guidelines for
Author: Timothy P. Johnson
Publisher: John Wiley & Sons
A comprehensive guidebook to the current methodologies and practices used in health surveys A unique and self-contained resource, Handbook of Health Survey Methods presents techniques necessary for confronting challenges that are specific to health survey research. The handbook guides readers through the development of sample designs, data collection procedures, and analytic methods for studies aimed at gathering health information on general and targeted populations. The book is organized into five well-defined sections: Design and Sampling Issues, Measurement Issues, Field Issues, Health Surveys of Special Populations, and Data Management and Analysis. Maintaining an easy-to-follow format, each chapter begins with an introduction, followed by an overview of the main concepts, theories, and applications associated with each topic. Finally, each chapter provides connections to relevant online resources for additional study and reference. The Handbook of Health Survey Methods features: 29 methodological chapters written by highly qualified experts in academia, research, and industry A treatment of the best statistical practices and specific methodologies for collecting data from special populations such as sexual minorities, persons with disabilities, patients, and practitioners Discussions on issues specific to health research including developing physical health and mental health measures, collecting information on sensitive topics, sampling for clinical trials, collecting biospecimens, working with proxy respondents, and linking health data to administrative and other external data sources Numerous real-world examples from the latest research in the fields of public health, biomedicine, and health psychology Handbook of Health Survey Methods is an ideal reference for academics, researchers, and practitioners who apply survey methods and analyze data in the fields of biomedicine, public health, epidemiology, and biostatistics. The handbook is also a useful supplement for upper-undergraduate and graduate-level courses on survey methodology.
Practice. of. Survey. Research. Changes. and. Challenges. D. Sunshine. Hillygus
. After preelection polls predicted the ... The total survey error perspective
provides a framework for evaluating how various aspects of the survey method
Author: Adam J. Berinsky
The field of public opinion is one of the most diverse in political science. Over the last 60 years, scholars have drawn upon the disciplines of psychology, economics, sociology, and even biology to learn how ordinary people come to understand the complicated business of politics. But much of the path breaking research in the field of public opinion is published in journals, taking up fairly narrow questions one at a time and often requiring advanced statistical knowledge to understand these findings. As a result, the study of public opinion can seem confusing and incoherent to undergraduates. To engage undergraduate students in this area, a new type of textbook is required. New Directions in Public Opinion brings together leading scholars to provide an accessible and coherent overview of the current state of the field of public opinion. Each chapter provides a general overview of topics that are at the cutting edge of study as well as well-established cornerstones of the field. Suitable for use as a main textbook or in tandem with a lengthier survey, it comprehensively covers the topics of public opinion research and pushes students further to explore critical topics in contemporary politics.
Putting Research Into Practice Kenneth E. Clow, Karen E. James. Survey.
Research. LEARNING OBJECTIVES ... it applies to the various data collection
alternatives. Random Error Total Survey Error Systematic Error Measurement
Error 161 ...
Author: Kenneth E. Clow
Essentials of Marketing Research: Putting Research into Practice, an exciting new practical guide by Kenneth E. Clow and Karen E. James offers a hands-on, applied approach to developing the fundamental data analysis skills necessary for making better management decisions using marketing research results. Each chapter opens by describing an actual research study related to the chapter content, with rich examples of contemporary research practices skillfully drawn from interviews with marketing research professionals and published practitioner studies. Clow and James explore the latest research techniques, including social media and other online methodologies, and they examine current statistical methods of analyzing data. With emphasis on how to interpret marketing research results and how to use those findings to make effective management decisions, the authors offer a unique learning-by-doing approach to understanding data analysis, interpreting data, and applying results to decision-making.
It follows from (2.23) and(2.29) that (2.31) In other npq/(n − 1) isapproximately
unbiasedfor the total variance of an observation. In practice, the bias in pq as an
words, estimator ofthe totalvariance is usuallyignored sinceitis trivial for most ...
Author: Paul P. Biemer
Publisher: John Wiley & Sons
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 data The Hui-Walter model and othermethods for two indicators The EM algorithm and its role in latentclass model parameter estimation Latent class models for three ormore indicators Techniques for interpretation of modelparameter estimates Advanced topics in LCA, including sparse data, boundary values, unidentifiability, and local maxima Special considerations for analyzing datafrom clustered and unequal probability samples with nonresponse The current state of LCA and MLCA (multilevel latent class analysis), and an insightful discussion on areas for further research Throughout 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.