Big Data for Qualitative Research

Big Data for Qualitative Research

Author: Kathy A. Mills

Publisher: Routledge

Published: 2019-03-14

Total Pages: 78

ISBN-13: 0429509294

DOWNLOAD EBOOK

Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.


Big Data in Psychological Research

Big Data in Psychological Research

Author: Sang Eun Woo

Publisher: American Psychological Association (APA)

Published: 2020

Total Pages: 0

ISBN-13: 9781433831676

DOWNLOAD EBOOK

Big Data in Psychological Research provides an overview of big data theory, research design and analysis, collection methods, applications, ethical concerns, best practices, and future research directions for psychologists.


Thick Big Data

Thick Big Data

Author: Dariusz Jemielniak

Publisher: Oxford University Press, USA

Published: 2020-02-20

Total Pages: 208

ISBN-13: 0198839707

DOWNLOAD EBOOK

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.


Big Qual

Big Qual

Author: Susie Weller

Publisher: Springer Nature

Published: 2023-12-04

Total Pages: 228

ISBN-13: 3031363248

DOWNLOAD EBOOK

This upper-level textbook presents a new approach to large scale qualitative analysis – the pioneering breadth-and-depth method. It covers the strengths and deployment of “big qual” as a distinct research methodology. The book will appeal to students and researchers across disciplines and methodological backgrounds. The growing availability of large qualitative data sets presents exciting opportunities. Pooling multiple qualitative data sets enhances the possibility of theoretical generalisability and strengthens claims from qualitative research about understanding how social processes work. Given the evolving possibilities that big data offers the humanities and social sciences, this book will be a must-have resource, building capacity and provoking new ways of thinking about qualitative research and its analysis.


Thick Big Data

Thick Big Data

Author: Dariusz Jemielniak

Publisher: Oxford University Press

Published: 2020-03-25

Total Pages: 208

ISBN-13: 0192576062

DOWNLOAD EBOOK

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.


Reinventing the Social Scientist and Humanist in the Era of Big Data

Reinventing the Social Scientist and Humanist in the Era of Big Data

Author: Susan Brokensha

Publisher: UJ Press

Published: 2019-12-01

Total Pages: 205

ISBN-13: 1928424376

DOWNLOAD EBOOK

This book explores the big data evolution by interrogating the notion that big data is a disruptive innovation that appears to be challenging existing epistemologies in the humanities and social sciences. Exploring various (controversial) facets of big data such as ethics, data power, and data justice, the book attempts to clarify the trajectory of the epistemology of (big) data-driven science in the humanities and social sciences.


Research Methods For Business

Research Methods For Business

Author: Uma Sekaran

Publisher: John Wiley & Sons

Published: 2016-06-27

Total Pages: 448

ISBN-13: 1119165555

DOWNLOAD EBOOK

Research Methods for Business: A Skill-Building Approach is a concise and straightforward introduction for students to the world of business research. The skill-building approach provides students with practical perspectives on how research can be applied in real business situations. Maintaining Uma Sekaran’ s popular and accessible style of writing, Roger Bougie draws upon his extensive experience in the field to present an up-to-date guide on business research which is ideal for aspiring managers. The seventh edition has been fully revised and updated to include cutting-edge examples and enriched pedagogical features designed to improve student learning outcomes. There is now an increased emphasis on the relationship between the scientific and the pragmatic approaches to research, while the key concepts are explored and applied to real-life research throughout the book.


Big Data and Learning Analytics in Higher Education

Big Data and Learning Analytics in Higher Education

Author: Ben Kei Daniel

Publisher: Springer

Published: 2016-08-27

Total Pages: 287

ISBN-13: 3319065203

DOWNLOAD EBOOK

​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.


Design for Tomorrow—Volume 2

Design for Tomorrow—Volume 2

Author: Amaresh Chakrabarti

Publisher: Springer Nature

Published: 2021-04-26

Total Pages: 989

ISBN-13: 9811601194

DOWNLOAD EBOOK

This book showcases cutting-edge research papers from the 8th International Conference on Research into Design (ICoRD 2021) written by eminent researchers from across the world on design processes, technologies, methods and tools, and their impact on innovation, for supporting design for a connected world. The theme of ICoRD‘21 has been “Design for Tomorrow”. The world as we know it in our times is increasingly becoming connected. In this interconnected world, design has to address new challenges of merging the cyber and the physical, the smart and the mundane, the technology and the human. As a result, there is an increasing need for strategizing and thinking about design for a better tomorrow. The theme for ICoRD’21 serves as a provocation for the design community to think about rapid changes in the near future to usher in a better tomorrow. The papers in this book explore these themes, and their key focus is design for tomorrow: how are products and their development be addressed for the immediate pressing needs within a connected world? The book will be of interest to researchers, professionals and entrepreneurs working in the areas on industrial design, manufacturing, consumer goods, and industrial management who are interested in the new and emerging methods and tools for design of new products, systems and services.


Research Anthology on Big Data Analytics, Architectures, and Applications

Research Anthology on Big Data Analytics, Architectures, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2021-09-24

Total Pages: 1988

ISBN-13: 1668436639

DOWNLOAD EBOOK

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.