Steps of Evaluating Data in Qualitative Research
Evaluating data in qualitative research involves a systematic and interpretive process. The key steps include:
- Data Organization: Transcribe interviews, group notes, and compile field observations.
- Coding: Identify key themes or patterns in the data through open, axial, or selective coding.
- Theme Development: Group codes into meaningful categories or themes.
- Interpretation: Analyze themes to draw insights and relate them to research questions or theory.
- Validation: Use triangulation, peer review, or participant feedback to ensure credibility.