This document discusses analysing text data in qualitative research. It provides information on computer assisted qualitative data analysis software (CAQDAS), grounded theory, coding text data, and lessons learned from analysing interview responses about preferences for drinking bottled water versus tap water. Key points include the importance of cleaning and preparing text data before coding, identifying concepts and ideas through first and second level coding, observing the progression of ideas in the text, and noticing that students are anxious about tap water cleanliness and unaware of drinking water standards.