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Qualitative data analysis: reflections, procedures, and some points for consideration
1Kathmandu University School of Education, Lalitpur, Nepal.
Frontiers in Research Metrics and Analytics
|October 16, 2025
Summary
This guide demystifies qualitative data analysis (QDA) using constructivist grounded theory. It emphasizes collaborative meaning-making with participants and rigorous methods like reflexivity and triangulation for meaningful insights.
Area of Science:
- Social Sciences
- Qualitative Research Methods
Background:
- Qualitative data analysis (QDA) can be complex for researchers.
- A constructivist grounded theory approach offers a framework for understanding QDA.
Purpose of the Study:
- To demystify qualitative data analysis (QDA).
- To provide a practical guide for scholars on rigorous and meaningful data analysis.
Main Methods:
- Constructivist grounded theory approach.
- Emphasis on intersubjective relations and co-construction of interpretations.
- Inclusion of member checking, reflexivity, peer debriefing, and triangulation.
Main Results:
- QDA is presented as an iterative process of meaning extraction from diverse data forms.
- Exploration of procedures like data immersion, coding, and theme development across various qualitative methodologies.
- Data saturation identified as the final step in analysis.
Conclusions:
- Addressing challenges in achieving intersubjective meaning construction and data saturation.
- Practical strategies and considerations for ensuring rigor in qualitative data analysis.
- Empowering scholars with tools for effective QDA.
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