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"Research Methodology Data processing."
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Principles of data management and presentation
\"The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses--introductory statistics and research methods--does not provide sufficient information about data, learning to work with data sets, or how to present data to various audiences. This book is designed for these purposes. It discusses how data are used in research projects, where to get data, how to manage them with software, and how to present them so that one's message comes through clearly. With few expectations beyond some familiarity with basic statistics and research methods, this book provides a comprehensive set of principles for understanding and using data as part of a research project\"-- Provided by publisher.
Book
Paradata and Transparency in Virtual Heritage
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.
eBook
Conducting systematic reviews in sport, exercise, and physical activity
This title offers a conceptual and practical guide to the systematic review process and its application to sport, exercise, and physical activity research. It begins by describing what systematic reviews are and why they assist scientists and practitioners. Providing step-by-step instructions the author leads readers through the process, including generation of suitable review questions; development and implementation of search strategies; data extraction and analysis; theoretical interpretation; and result dissemination.
Book
Wikipedia U
Explores the battle between the top-down authority traditionally ascribed to experts and scholars and the bottom-up authority exemplified by Wikipedia.
Since its launch in 2001, Wikipedia has been a lightning rod for debates about knowledge and traditional authority. It has come under particular scrutiny from publishers of print encyclopedias and college professors, who are skeptical about whether a crowd-sourced encyclopedia—in which most entries are subject to potentially endless reviewing and editing by anonymous collaborators whose credentials cannot be established—can ever truly be accurate or authoritative.
In Wikipedia U, Thomas Leitch argues that the assumptions these critics make about accuracy and authority are themselves open to debate. After all, academics are expected both to consult the latest research and to return to the earliest sources in their field, each of which has its own authority. And when teachers encourage students to master information so that they can question it independently, their ultimate goal is to create a new generation of thinkers and makers whose authority will ultimately supplant their own.
Wikipedia U offers vital new lessons about the nature of authority and the opportunities and challenges of Web 2.0. Leitch regards Wikipedia as an ideal instrument for probing the central assumptions behind liberal education, making it more than merely, as one of its severest critics has charged, \"the encyclopedia game, played online.\"
eBook
Qualitative and mixed methods data analysis using Dedoose : a practical approach for research across the social sciences
\"Qualitative and Mixed Methods Data Analysis using Dedoose will provide both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose software. The authors use their depth of experience designing and updating Dedoose as well as their significant research experience to give the reader practical strategies for using Dedoose from a wide range of research studies. Qualitative and Mixed Methods Data Analysis using Dedoose walks researchers, students and evaluators through designing a study, conducting fieldwork and reporting credible findings. In the first section the book gives a quick overview of qualitative and mixed methods research and designing studies to work easily with available software, including Dedoose. The authors pay significant attention to data analysis in the second section, addressing the challenges of working in teams, working with just qualitative data, and analyzing qualitative and quantitative data in a mixed method study. The final section is devoted to reporting results and data visualization within Dedoose. Throughout the book, case studies are presented to illustrate the topics discussed with real research examples. Working through this book will give researchers improved technological skills to use Dedoose effectively in their research\"-- Provided by publisher.
Book
Choice of data extraction tools for systematic reviews depends on resources and review complexity
To assist investigators planning, coordinating, and conducting systematic reviews in the selection of data-extraction tools for conducting systematic reviews.
We constructed an initial table listing available data-collection tools and reflecting our experience with these tools and their performance. An international group of experts iteratively reviewed the table and reflected on the performance of the tools until no new insights and consensus resulted.
Several tools are available to manage data in systematic reviews, including paper and pencil, spreadsheets, web-based surveys, electronic databases, and web-based specialized software. Each tool offers benefits and drawbacks: specialized web-based software is well suited in most ways, but is associated with higher setup costs. Other approaches vary in their setup costs and difficulty, training requirements, portability and accessibility, versatility, progress tracking, and the ability to manage, present, store, and retrieve data.
Available funding, number and location of reviewers, data needs, and the complexity of the project should govern the selection of a data-extraction tool when conducting systematic reviews.
Journal Article
Big Data, Little Data, No Data
\"Big Data\" is on the covers ofScience, Nature, theEconomist, andWiredmagazines, on the front pages of theWall Street Journaland theNew York Times.But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines.Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six \"provocations\" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
eBook
Research Methods for Memory Studies
The first practical guide to research methods in memory studies. This book provides expert appraisals of a range of techniques and approaches in memory studies, and focuses on methods and methodology as a way to help bring unity and coherence to this new field of study.
eBook