9.6: Summary

Data analysis brings together the other aspects of your research – the introduction, literature review, methods, discussion, and conclusion. In this chapter, we began by discussing basic aspects of data analysis for qualitative research. We reviewed the importance and steps of transcription, content analysis, and grounded theory. We then offered strategies for presenting demographics and quotations in qualitative writing. In conclusion, we argued that all research tells a story, that is, it tries to present a narrative of data that relates to itself and to the audience. In achieving storylining (see Box 9.10.1) in your research, you make your narrative a relevant and sturdy one for others.

Box 9.10 – Qualitative Data Analysis Checklist

• Transcribe audio data and edit field notes and memos
• Determine on the qualitative approach that you will be using (e.g., grounded theory, template coding etc.).
• Read transcripts
• Highlight quotes and make notes around data
• Code quotes and words
• Decide on a method or organizing themes
• Sort quotes into coded groups (themes)
• Interpret patterns in quotes
• Describe these patterns
• Select the best representative quotes for each theme
• Storylining

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