Perspectives on Paradata PDF Download

Author: Isto Huvila
Publisher: Springer Nature
ISBN: 303153946X
Category :
Languages : en
Pages : 268

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Author: Anna Bentkowska-Kafel
Publisher: Ashgate Publishing, Ltd.
ISBN: 9780754675839
Category : Computers
Languages : en
Pages : 352

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Book Description
Computer-Generated Images (CGIs) are widely used and accepted in the world of entertainment but the use of the very same visualization techniques in academic research in the Arts and Humanities remains controversial. The techniques and conceptual perspectives on heritage visualization are a subject of an ongoing interdisciplinary debate. By demonstrating scholarly excellence and best technical practice in this area, this volume is concerned with the challenge of providing intellectual transparency and accountability in visualization-based historical research. Addressing a range of cognitive and technological challenges, the authors make a strong case for a wider recognition of three-dimensional visualization as a constructive, intellectual process and valid methodology for historical research and its communication.

Author: Isto Huvila
Publisher: Springer
ISBN: 9783031539459
Category : Business & Economics
Languages : en
Pages : 0

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In a rapidly datafying society, it is crucial to know not only what data is about but also where it comes from. This insight has led to an embryo of new theorizing, empirical research, forming of new technologies, standards, practices, and concepts to ensure the availability of adequate 'paradata' – data on the making and processing of data. The aim of the edited volume is to provide a cross-disciplinary run-through of perspectives to the concept and phenomenon of paradata and its implications for research and practice.

Author: Malgorzata Magdalena Turner
Publisher:
ISBN:
Category :
Languages : en
Pages : 159

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Author: ISTO HUVILA
Publisher: Routledge
ISBN: 1351846396
Category : Social Science
Languages : en
Pages : 300

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Archaeology and Archaeological Information in the Digital Society shows how the digitization of archaeological information, tools and workflows, and their interplay with both old and new non-digital practices throughout the archaeological information process, affect the outcomes of archaeological work, and in the end, our general understanding of the human past. Whereas most of the literature related to archaeological information work has been based on practical and theoretical considerations within specific areas of archaeology, this innovative volume combines and integrates intra- and extra-disciplinary perspectives to archaeological work, looking at archaeology from both the inside and outside. With fields studies from museums and society, and pioneering new academic research, Archaeology and Archaeological Information in the Digital Society will interest archaeologists across the board.

Author: Anna Bentkowska-Kafel
Publisher: Routledge
ISBN: 131708425X
Category : Business & Economics
Languages : en
Pages : 366

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Book Description
Computer-Generated Images (CGIs) are widely used and accepted in the world of entertainment but the use of the very same visualization techniques in academic research in the Arts and Humanities remains controversial. The techniques and conceptual perspectives on heritage visualization are a subject of an ongoing interdisciplinary debate. By demonstrating scholarly excellence and best technical practice in this area, this volume is concerned with the challenge of providing intellectual transparency and accountability in visualization-based historical research. Addressing a range of cognitive and technological challenges, the authors make a strong case for a wider recognition of three-dimensional visualization as a constructive, intellectual process and valid methodology for historical research and its communication. Intellectual transparency of visualization-based research, the pervading theme of this volume, is addressed from different perspectives reflecting the theory and practice of respective disciplines. The contributors - archaeologists, cultural historians, computer scientists and ICT practitioners - emphasize the importance of reliable tools, in particular documenting the process of interpretation of historical material and hypotheses that arise in the course of research. The discussion of this issue refers to all aspects of the intellectual content of visualization and is centred around the concept of 'paradata'. Paradata document interpretative processes so that a degree of reliability of visualization outcomes can be understood. The disadvantages of not providing this kind of intellectual transparency in the communication of historical content may result in visual products that only convey a small percentage of the knowledge that they embody, thus making research findings not susceptible to peer review and rendering them closed to further discussion. It is argued, therefore, that paradata should be recorded alongside more tangible outcomes of research, preferably as an integral part of virtual models, and sustained beyond the life-span of the technology that underpins visualization.

Author: Malgorzata Turner
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Kristen Olson
Publisher: CRC Press
ISBN: 1000064476
Category : Mathematics
Languages : en
Pages : 285

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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 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: Paul J. Lavrakas
Publisher: SAGE Publications
ISBN: 150631788X
Category : Social Science
Languages : en
Pages : 1073

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Book Description
To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other "how-to" guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information.

Author: Craig A. Hill
Publisher: John Wiley & Sons
ISBN: 1118976320
Category : Social Science
Languages : en
Pages : 784

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Book Description
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.