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.
Notes toward a Theory of Qualitative Data Analysis
Notes toward a Theory of Qualitative Data Analysis
‘Theory of qualitative data analysis’ can be interpreted in a number of ways. There has been a great deal written about using substantive theory – theories about the phenomena being investigated – in doing qualitative research (e.g., Anyon, 2009; Dressman, 2008; Flinders and Mills, 1994), and such theory has important implications for analysis. Instances of this use of theory include Manning (2004), on semiotics and data analysis, and Potter (2004: 609–11), on the theoretical principles of discourse analysis (see Willig, Chapter 23, this volume). For example, Potter argued that discourse analysis is based on three fundamental features of discourse: that it is action-oriented, situated, and constructed. ...
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