A Practical Iterative Framework for Qualitative Data Analysis

University of Ottawa · University of Oxford

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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

1,209
total citations
FWCI
28.95
Percentile
100%
References
35
Citations per year

Authors

2

Topics & keywords

Keywords
  • Reflexivity
  • Computer science
  • Meaning (existential)
  • Process (computing)
  • Iterative and incremental development
  • Task (project management)
  • Qualitative analysis
  • Qualitative research
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