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A model proposal for qualitative data analysis, interpretation, and reporting: contextuality, reflectivity, and
1Faculty of Medicine, Eastern Mediterranean University, Famagusta, Turkey.
Primary Health Care Research & Development
|October 28, 2024
Summary
This study introduces a new model for qualitative research, emphasizing contextuality, reflectivity, and narrativity. It offers practical frameworks for analyzing, interpreting, and reporting qualitative data effectively.
Area of Science:
- Health Sciences
- Social Sciences
- Education Research
Background:
- Qualitative studies are crucial for understanding health experiences in their complexity.
- Existing qualitative research necessitates practical guides for data analysis and interpretation.
- Qualitative research differs fundamentally from quantitative research in its paradigm and methodology.
Purpose of the Study:
- To outline the design process of qualitative studies.
- To propose a novel model for the analysis, interpretation, and reporting of qualitative data.
- To provide practical guidance for researchers conducting qualitative studies.
Main Methods:
- Developed a conceptual framework based on contextuality, reflectivity, and narrativity.
- Created the 'Contextual (Multiple) Reading and Analysis Framework' (3 stages, 7 steps).
- Developed the 'Contextual Understanding, Interpretation and Reporting Framework' (4 stages).
Main Results:
- The proposed model integrates contextuality, reflectivity, and narrativity into qualitative data handling.
- Two practical frameworks offer a structured approach to qualitative data analysis and interpretation.
- The frameworks facilitate a reflective and context-aware approach to qualitative research.
Conclusions:
- The developed model and frameworks provide a practical guide for qualitative researchers.
- Adopting a contextual, reflective, and narrative approach enhances the rigor of qualitative data analysis.
- This work addresses the need for improved methods in qualitative health research and beyond.
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