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Qualitative Data Analysis


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Week 10 of the research design course

Published in: Design, Technology, Education

Qualitative Data Analysis

  1. 1. Qualitative Data Analysis<br />A practical how-to<br />
  2. 2. Key themes<br />3 simple steps<br />Some concepts first:<br />Grounded theory<br />Induction: what is it?<br />Step 1: Reduction <br />Open-sort<br />Closed-sort<br />Software tools<br />Step 2: Visualization<br />Step 3: Conclusions<br />
  3. 3. Qualitative Data Analysis: 3 Simple Steps<br />
  4. 4. What is grounded theory?<br />“theory derived from systematically gathered data, arising through the research process” (Strauss & Corbin, 1998: 12).<br />
  5. 5. Outcomes of Grounded Theory<br />
  6. 6. Induction versus deduction<br />Libraries are built for quiet.<br />Therefore…<br />People sleep in the library.<br />Deduction<br />People sleep in the library.<br />Therefore…<br />Libraries are a place of refuge.<br />Induction<br />
  7. 7. Step 1a: The “open sort”<br />Write themes on post-its<br />Sort them into categories<br />Name the categories<br /><br />
  8. 8. Step 1a: open sort example<br />Category<br />Sub-category<br />Concept<br />Thanks to Ned Richards of the UK for the permission to use this photo<br />
  9. 9. Step 1b: The “closed sort”<br />Start with categories<br />Write themes on post-its<br />Sort themes into pre-determined categories<br />
  10. 10. Software tool: NVivo<br />Category<br />Concept<br />
  11. 11. Step 2: Visualization I<br />
  12. 12. Step 3: Conclusion Drawing<br />Hunt for patterns<br />Seek out exceptions and ask why?<br />Use reversal: if it wasn’t this way, what would happen?<br />Always ask, so what?<br />
  13. 13. Copernicus ConsultingDesign research and strategy<br /><br />