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.
Qualitative Content Analysis
Qualitative Content Analysis
What is Qualitative Content Analysis?
Qualitative content analysis is a method for systematically describing the meaning of qualitative data (Mayring, 2000; Schreier, 2012). This is done by assigning successive parts of the material to the categories of a coding frame. This frame is at the heart of the method, and it contains all those aspects that feature in the description and interpretation (see Willig, Chapter 10, this volume) of the material. Three features characterize the method: qualitative content analysis reduces data, it is systematic, and it is flexible.
Unlike other qualitative methods for data analysis which open up (and sometimes add to) data, qualitative content analysis helps with reducing the amount of material. It requires the researcher to focus on ...
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