Iterative categorization (IC): a systematic technique for analysing qualitative data
UNSW Sydney · King's College London
Abstract
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 analysing 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…
Citation impact
- FWCI
- 18.84
- Percentile
- 100%
- References
- 36
Authors
1Topics & keywords
- Categorization
- Coding (social sciences)
- Computer science
- Thematic analysis
- Qualitative research
- Content analysis
- Qualitative analysis
- Narrative
- Quality Education