Overview
Qualitative data analysis is a powerful tool for understanding complex human behaviors and experiences. However, researchers must be cautious of common pitfalls that can compromise the validity of their findings. Bias, overgeneralization, and misinterpretation are significant challenges that can lea...
Key Terms
Example: Interviews, open-ended survey responses.
Example: Confirmation bias in interpreting data.
Example: Assuming all participants feel the same way based on a few responses.
Example: Using multiple methods to validate findings.
Example: Combining interviews and focus groups.
Example: Sharing results with interviewees for feedback.
Related Topics
Key Concepts
BiasOvergeneralizationMisinterpretationLack of Rigor