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Author: Frederick G. Conrad
Publisher: John Wiley & Sons
ISBN: 0470183365
Category : Mathematics
Languages : en
Pages : 315
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Book Description
Praise forEnvisioning the Survey Interview of the Future "This book is an excellent introduction to some brave new technologies . . . and their possible impacts on the way surveys might be conducted. Anyone interested in the future of survey methodology should read this book." -Norman M. Bradburn, PhD, National Opinion Research Center, University of Chicago "Envisioning the Survey Interview of the Future gathers some of the brightest minds in alternative methods of gathering self-report data, with an eye toward the future self-report sample survey. Conrad and Schober, by assembling a group of talented survey researchers and creative inventors of new software-based tools to gather information from human subjects, have created a volume of importance to all interested in imagining future ways of interviewing." -Robert M. Groves, PhD, Survey Research Center, University of Michigan This collaboration provides extensive insight into the impact of communication technology on survey research As previously unimaginable communication technologies rapidly become commonplace, survey researchers are presented with both opportunities and obstacles when collecting and interpreting data based on human response. Envisioning the Survey Interview of the Future explores the increasing influence of emerging technologies on the data collection process and, in particular, self-report data collection in interviews, providing the key principles for using these new modes of communication. With contributions written by leading researchers in the fields of survey methodology and communication technology, this compilation integrates the use of modern technological developments with established social science theory. The book familiarizes readers with these new modes of communication by discussing the challenges to accuracy, legitimacy, and confidentiality that researchers must anticipate while collecting data, and it also provides tools for adopting new technologies in order to obtain high-quality results with minimal error or bias. Envisioning the Survey Interview of the Future addresses questions that researchers in survey methodology and communication technology must consider, such as: How and when should new communication technology be adopted in the interview process? What are the principles that extend beyond particular technologies? Why do respondents answer questions from a computer differently than questions from a human interviewer? How can systems adapt to respondents' thinking and feeling? What new ethical concerns about privacy and confidentiality are raised from using new communication technologies? With its multidisciplinary approach, extensive discussion of existing and future technologies, and practical guidelines for adopting new technology, Envisioning the Survey Interview of the Future is an essential resource for survey methodologists, questionnaire designers, and communication technologists in any field that conducts survey research. It also serves as an excellent supplement for courses in research methods at the upper-undergraduate or graduate level.
Author: Frederick G. Conrad
Publisher: John Wiley & Sons
ISBN: 0470183365
Category : Mathematics
Languages : en
Pages : 315
Get Book
Book Description
Praise forEnvisioning the Survey Interview of the Future "This book is an excellent introduction to some brave new technologies . . . and their possible impacts on the way surveys might be conducted. Anyone interested in the future of survey methodology should read this book." -Norman M. Bradburn, PhD, National Opinion Research Center, University of Chicago "Envisioning the Survey Interview of the Future gathers some of the brightest minds in alternative methods of gathering self-report data, with an eye toward the future self-report sample survey. Conrad and Schober, by assembling a group of talented survey researchers and creative inventors of new software-based tools to gather information from human subjects, have created a volume of importance to all interested in imagining future ways of interviewing." -Robert M. Groves, PhD, Survey Research Center, University of Michigan This collaboration provides extensive insight into the impact of communication technology on survey research As previously unimaginable communication technologies rapidly become commonplace, survey researchers are presented with both opportunities and obstacles when collecting and interpreting data based on human response. Envisioning the Survey Interview of the Future explores the increasing influence of emerging technologies on the data collection process and, in particular, self-report data collection in interviews, providing the key principles for using these new modes of communication. With contributions written by leading researchers in the fields of survey methodology and communication technology, this compilation integrates the use of modern technological developments with established social science theory. The book familiarizes readers with these new modes of communication by discussing the challenges to accuracy, legitimacy, and confidentiality that researchers must anticipate while collecting data, and it also provides tools for adopting new technologies in order to obtain high-quality results with minimal error or bias. Envisioning the Survey Interview of the Future addresses questions that researchers in survey methodology and communication technology must consider, such as: How and when should new communication technology be adopted in the interview process? What are the principles that extend beyond particular technologies? Why do respondents answer questions from a computer differently than questions from a human interviewer? How can systems adapt to respondents' thinking and feeling? What new ethical concerns about privacy and confidentiality are raised from using new communication technologies? With its multidisciplinary approach, extensive discussion of existing and future technologies, and practical guidelines for adopting new technology, Envisioning the Survey Interview of the Future is an essential resource for survey methodologists, questionnaire designers, and communication technologists in any field that conducts survey research. It also serves as an excellent supplement for courses in research methods at the upper-undergraduate or graduate level.
Author: Sebastian Loth
Publisher: Frontiers Media SA
ISBN: 2889198456
Category : Electronic book
Languages : en
Pages : 143
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Book Description
Powerful and economic sensors such as high definition cameras and corresponding recognition software have become readily available, e.g. for face and motion recognition. However, designing user interfaces for robots, phones and computers that facilitate a seamless, intuitive, and apparently effortless communication as between humans is still highly challenging. This has shifted the focus from developing ever faster and higher resolution sensors to interpreting available sensor data for understanding social signals and recognising users' intentions. Psychologists, Ethnologists, Linguists and Sociologists have investigated social behaviour in human-human interaction. But their findings are rarely applied in the human-robot interaction domain. Instead, robot designers tend to rely on either proof-of-concept or machine learning based methods. In proving the concept, developers effectively demonstrate that users are able to adapt to robots deployed in the public space. Typically, an initial period of collecting human-robot interaction data is used for identifying frequently occurring problems. These are then addressed by adjusting the interaction policies on the basis of the collected data. However, the updated policies are strongly biased by the initial design of the robot and might not reflect natural, spontaneous user behaviour. In the machine learning approach, learning algorithms are used for finding a mapping between the sensor data space and a hypothesised or estimated set of intentions. However, this brute-force approach ignores the possibility that some signals or modalities are superfluous or even disruptive in intention recognition. Furthermore, this method is very sensitive to peculiarities of the training data. In sum, both methods cannot reliably support natural interaction as they crucially depend on an accurate model of human intention recognition. Therefore, approaches to social robotics from engineers and computer scientists urgently have to be informed by studies of intention recognition in natural human-human communication. Combining the investigation of natural human behaviour and the design of computer and robot interfaces can significantly improve the usability of modern technology. For example, robots will be easier to use by a broad public if they can interpret the social signals that users spontaneously produce for conveying their intentions anyway. By correctly identifying and even anticipating the user's intention, the user will perceive that the system truly understands her/his needs. Vice versa, if a robot produces socially appropriate signals, it will be easier for its users to understand the robot's intentions. Furthermore, studying natural behaviour as a basis for controlling robots and other devices results in greater robustness, responsiveness and approachability. Thus, we welcome submissions that (a) investigate how relevant social signals can be identified in human behaviour, (b) investigate the meaning of social signals in a specific context or task, (c) identify the minimal set of intentions for describing a context or task, (d) demonstrate how insights from the analysis of social behaviour can improve a robot's capabilities, or (e) demonstrate how a robot can make itself more understandable to the user by producing more human-like social signals.
Author: Joe Murphy
Publisher: RTI Press
ISBN:
Category : Philosophy
Languages : en
Pages : 16
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Book Description
When survey respondents are consciously or unconsciously influenced by the characteristics of the interviewer, bias in the survey estimates may result. The effects of interviewer characteristics such as gender and race on survey estimates have been considered previously, but isolating and experimentally manipulating a single interviewer characteristic has been infeasible. With the advent of online virtual worlds, it is now possible to conduct experiments focusing on individual physical interviewer characteristics. We conducted an exploratory study, surveying 60 individuals in Second Life, an online virtual-world community in which the respondent and interviewer were both represented as avatars—three-dimensional representations of real-life individuals. To explore the effect of interviewer appearance on reported health behaviors and attitudes, we randomly assigned half of the survey respondents to a “thin” interviewer and half to a “heavy” interviewer. The data suggest that those who reported to the heavy interviewer were less likely to say their own avatar was attractive, reported less frequent real-life exercise, and reported a higher real-life body mass index, although because of the small number of participants, we did not detect statistically significant differences. The findings suggest that interviewer appearance may have a biasing effect on reports in virtual-world surveys—and perhaps in real-world surveys. Despite the lack of statistically significant findings, the study illustrates the future potential, benefits, and challenges to surveying and conducting methodological research in a virtual world.
Author: Silva, Carlos Nunes
Publisher: IGI Global
ISBN: 1466600756
Category : Political Science
Languages : en
Pages : 490
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Book Description
"This book provides an overview of online research methods in urban and planning studies, exploring and discussing new digital tools and Web-based research methods, as well as the scholarly, legal, and ethical challenges associated with their use"--Provided by publisher.
Author: Kristen Olson
Publisher: CRC Press
ISBN: 100006445X
Category : Mathematics
Languages : en
Pages : 361
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Book Description
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 Chapter appendices available to download from https://digitalcommons.unl.edu/sociw/ 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.
Author: Jaber F. Gubrium
Publisher: SAGE
ISBN: 1412981646
Category : Psychology
Languages : en
Pages : 625
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Book Description
The complete handbook on interviewing, the Second Edition deals with conceptual and methodological challenges to interviewing, in addition to the nuts and bolts of the interview process.
Author: David L. Vannette
Publisher: Springer
ISBN: 3319543954
Category : Political Science
Languages : en
Pages : 676
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Book Description
This handbook is a comprehensive reference guide for researchers, funding agencies and organizations engaged in survey research. Drawing on research from a world-class team of experts, this collection addresses the challenges facing survey-based data collection today as well as the potential opportunities presented by new approaches to survey research, including in the development of policy. It examines innovations in survey methodology and how survey scholars and practitioners should think about survey data in the context of the explosion of new digital sources of data. The Handbook is divided into four key sections: the challenges faced in conventional survey research; opportunities to expand data collection; methods of linking survey data with external sources; and, improving research transparency and data dissemination, with a focus on data curation, evaluating the usability of survey project websites, and the credibility of survey-based social science. Chapter 23 of this book is open access under a CC BY 4.0 license at link.springer.com.
Author: James M. Lepkowski
Publisher: John Wiley & Sons
ISBN: 0470173394
Category : Mathematics
Languages : en
Pages : 704
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Book Description
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.
Author: Giampietro Gobo
Publisher: SAGE
ISBN: 147390482X
Category : Social Science
Languages : en
Pages : 393
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Book Description
Engaging and informative, this book provides students and researchers with a pragmatic, new perspective on the process of collecting survey data. By proposing a post-positivist, interviewee-centred approach, it improves the quality and impact of survey data by emphasising the interaction between interviewer and interviewee. Extending the conventional methodology with contributions from linguistics, anthropology, cognitive studies and ethnomethodology, Gobo and Mauceri analyse the answering process in structured interviews built around questionnaires. The following key areas are explored in detail: An historical overview of survey research The process of preparing the survey and designing data collection The methods of detecting bias and improving data quality The strategies for combining quantitative and qualitative approaches The survey within global and local contexts Incorporating the work of experts in interpersonal and intercultural relations, this book offers readers an intriguing critical perspective on survey research. Giampietro Gobo, Ph.D., is Professor of Methodology of Social Research and Evaluation Methods at the Department of Social and Political Studies - University of Milan. He has published over fifty articles in the areas of qualitative and quantitative methods. His books include Doing Ethnography (Sage 2008) and Qualitative Research Practice (Sage 2004, co-edited with C. Seale, J.F. Gubrium and D. Silverman). He is currently engaged in projects in the area of workplace studies. Sergio Mauceri, Ph.D., is Lecturer in Methodology of Social Sciences and teaches Quantitative and Qualitative Strategies of Social Research at the Department of Communication and Social Research - University of Rome ‘La Sapienza’. He has published several books and articles on data quality in survey research, mixed strategies, ethnic prejudice, multicultural cohabitation, delay in the transition to adulthood, worker well-being in call centres and homophobia.
Author: Jennifer Madans
Publisher: John Wiley & Sons
ISBN: 1118036999
Category : Mathematics
Languages : en
Pages : 299
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Book Description
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 coding Cognitive interviewing Item response theory Latent class analysis Split-sample experiments Multitrait-multimethod experiments Field-based data methods A 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.
