Summary
Contents
Subject index
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gibbs shows you how to bring it all together, so you can see the steps of qualitative analysis, understand the central place of coding, ensure analytic quality and write effectively to present your results.
Analytic Quality and Ethics
Analytic Quality and Ethics
Objectives
After reading this chapter, you should:
- see that the appropriateness of the traditional guidelines about research quality, which focus on validity, reliability and generalizability, is disputed in relation to qualitative analysis;
- understand that an underlying issue is the recognition that qualitative researchers, like all scientists, cannot escape the way that their work will, to some degree, reflect the background, milieu and predilections of the researcher; and
- see that this has both practical and ethical implications.
Traditional Approaches to Quality
Of course it is possible to make a hash of your analysis. You can do it badly or get things wrong. What you describe and what you claim may be warped or biased and bear a questionable relationship to what is actually happening. So how ...
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