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.
Sampling Strategies in Qualitative Research
Sampling Strategies in Qualitative Research
Put simply, sampling really matters. It matters in relation to an array of issues, for the whole trajectory of the analytic process, from initial questions asked about a phenomenon to the presentation of your work. Given that the claims that qualitative researchers want to make are routinely based on working closely with relatively small numbers of people, interactions, situations or spaces, it is central that these are chosen for good analytic reasons. Above all, sampling should never be the product of ad hoc decisions or left solely to chance. It needs to be thoughtful and rigorous.
There are some good discussions of the range of key conceptual issues about sampling (see e.g. Guba, 1981; Mitchell, ...
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