Working With Paradata Marginalia And Fieldnotes
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Working with Paradata, Marginalia and Fieldnotes
Author: Rosalind Edwards
language: en
Publisher: Edward Elgar Publishing
Release Date: 2017-01-27
This book asks the important question; Can the by-products of research activity be treated as data and of research interest in themselves? This groundbreaking interdisciplinary volume considers the analytic value of a range of ‘by-products’ of social research and reading. These include electronically captured paradata on survey administration, notes written in the margins of research documents and literary texts, and fieldnotes and ephemera produced by social researchers. Revealing the relational nature of paradata, marginalia and fieldnotes, contributions examine how the craft of studying and analysing these by-products offers insight into the intellectual, social and ethical processes underpinning the activities of research and reading.
Perspectives on Paradata
This open access book examines a rapidly 'datafied' society, reminding us that it is crucial to know what data is about and where it originates. This insight has led to an embryonic stage of new theorizing, empirical research, and the formation of new technologies, standards, practices, and concepts to ensure the availability of adequate 'paradata' – data on the making and processing of data. This edited volume aims to provide a cross-disciplinary overview of perspectives on the concept and phenomenon of paradata and its implications for research and practice.
Big Qual
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.