Summary
Contents
Subject index
The second, thoroughly revised and expanded, edition of The SAGE Handbook of Visual Research Methods presents a wide-ranging exploration and overview of the field today. As in its first edition, the Handbook does not aim to present a consistent view or voice, but rather to exemplify diversity and contradictions in perspectives and techniques. The selection of chapters from the first edition have been fully updated to reflect current developments. New chapters to the second edition cover key topics including picture-sorting techniques, creative methods using artefacts, visual framing analysis, therapeutic uses of images, and various emerging digital technologies and online practices. At the core of all contributions are theoretical and methodological debates about the meanings and study of the visual, presented in vibrant accounts of research design, analytical techniques, fieldwork encounters and data presentation. This handbook presents a unique survey of the discipline that will be essential reading for scholars and students across the social and behavioural sciences, arts and humanities, and far beyond these disciplinary boundaries. The Handbook is organized into seven main sections: PART 1: FRAMING THE FIELD OF VISUAL RESEARCH; PART 2: VISUAL AND SPATIAL DATA PRODUCTION METHODS AND TECHNOLOGIES; PART 3: PARTICIPATORY AND SUBJECT-CENTERED APPROACHES; PART 4: ANALYTICAL FRAMEWORKS AND PERSPECTIVES; PART 5: MULTIMODAL AND MULTISENSORIAL RESEARCH; PART 6: RESEARCHING ONLINE PRACTICES; and PART 7: COMMUNICATING THE VISUAL: FORMATS AND CONCERNS.
Visualization in Social Analysis1
Visualization in Social Analysis1
Introduction
Howard Wainer, in Picturing the Uncertain World, uses Figure 12.1, ‘Confidence in Institutions', to illustrate a fine point of graph design. The chart, which appeared in the New York Times, nicely resolves the problem of the ‘distracting legend':
In 1973 Jacques Bertin, the maître de graphique moderne, explained that when one produces a graph it is best to label each of the elements in the graph directly. He proposed this as the preferred alternative to appending some sort of legend that defines each element. His point was that when the two are connected you can comprehend the graph in a single moment of perception as opposed to having first to look at the lines, then ...
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