I have already completed a qualitative survey analysis in Python and now want a focused, method-level audit. I am not after a line-by-line code review; instead, I need your expert eye on whether the approach I took to collecting data through self-administered questionnaires is sound and defensible. You will look at how the questionnaire was structured, how participants were recruited, and how the responses were prepared for the Python workflow (pandas, Jupyter, basic NLP). Highlight any sampling bias, wording issues, or cleaning steps that may compromise validity, then suggest concrete improvements I can implement before final publication. Deliverables: • A concise written report (PDF or DOCX) outlining strengths, weaknesses, and specific, actionable recommendations regarding the questionnaire-based data collection and its fit with the subsequent analysis. • Optional in-line comments inside the existing notebook if that helps clarify points. • Up to one brief follow-up call to walk through key findings. If you have a strong background in survey methodology, qualitative research, and are comfortable navigating Python notebooks just enough to understand the flow, I’d love to collaborate.