Summary
Contents
Subject index
The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics. Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across the social sciences.
Analysing Images
Analysing Images
Introduction: Why Images?
The very ubiquity of anthropogenic images in society is simultaneously an opportunity and a problem. Their ubiquity is justification for treating them as qualitative data items, produced by and in the context of social relations, and at the same time that ubiquity seemingly renders singling certain images out for analytical consideration as arbitrary and capricious: of all the tens of thousands of images in circulation in society, why select this subset and not that subset? Yet it is the dual nature of images – to be and to represent – that renders this sociological action possible. Images are produced by human subjects in the context of, or in response to, human social action. They therefore exist independently of ...
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