A Practical Iterative Framework for Qualitative Data Analysis
University of Ottawa · University of Oxford
Abstract
The role of iteration in qualitative data analysis, not as a repetitive mechanical task but as a reflexive process, is key to sparking insight and developing meaning. In this paper the authors presents a simple framework for qualitative data analysis comprising three iterative questions. The authors developed it to analyze qualitative data and to engage with the process of continuous meaning-making and progressive focusing inherent to analysis processes. They briefly present the framework and locate it within a more general discussion on analytic reflexivity. They then highlight its usefulness, particularly for newer researchers, by showing practical applications of the framework in two very different studies.
Citation impact
- FWCI
- 28.95
- Percentile
- 100%
- References
- 35
Authors
2Topics & keywords
- Reflexivity
- Computer science
- Meaning (existential)
- Process (computing)
- Iterative and incremental development
- Task (project management)
- Qualitative analysis
- Qualitative research