Iterative Categorization (IC): a systematic technique for analysing qualitative data

First published: 09/05/2019 | Last updated: May 20th, 2019

The processes of analysing qualitative data, particularly the stage between coding and publication, are often vague and/or poorly explained within addiction science and research more broadly. A simple but rigorous and transparent technique for an alysing qualitative textual data, developed within the field of addiction, is described. The technique, iterative categorization (IC), is suitable for use with inductive and deductive codes and can support a range of common analytical approaches, e.g. thematic analysis, Framework, constant comparison, analytical induction, content analysis, conversational analysis, discourse analysis, interpretative phenomenological analysis and narrative analysis. Once the data have been coded, the only software required is a standard word processing package. Worked examples are provided.

Keywords Coding, inductive analysis, iterative categorization, qualitative data analysis, qualitative research, research
methods

Read the paper online here:

http://onlinelibrary.wiley.com/doi/10.1111/add.13314/epdf

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Professor Jo Neale