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Data Analysis: A Grounded Theory Approach

INFO 272. Qualitative Research Methods. Data Analysis: A Grounded Theory Approach. The Iterative Model. 1) research topic/questions. 2) ‘corpus construction’. 3) data gathering. Field work. 4) analysis. 4) more analysis. Desk work. 5) write-up. Grounded Theory.

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Data Analysis: A Grounded Theory Approach

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  1. INFO 272. Qualitative Research Methods Data Analysis: A Grounded Theory Approach

  2. The Iterative Model 1) research topic/questions 2) ‘corpus construction’ 3) data gathering Field work 4) analysis 4) more analysis Desk work 5) write-up

  3. Grounded Theory • Analytic codes and categories arise out of the data • Simultaneous involvement in data collection and analysis (or very rapid iteration) • ‘Sampling’ aimed toward theory construction • Lit review after analysis

  4. From Analysis to Write up 5) draft writing 4) memo-writing Granularity 3) theoretical coding 2) focused coding 1) Initial coding

  5. Coding… • …is attaching labels to segments of data that depict what each segment is about • …is the bones of your analysis • …forces you to interact with your data (again and again) • …does not just summarize, but analyzes your data

  6. Coding: Key concepts • Granularity varies • Word-by-word, line-by-line, incident-to-incident • observational data vs. interviews • Ideas, categories, concepts must “earn their way” into your analysis • in vivo codes (close attention to language) • Constant comparative method • Are provisional! (code quickly)

  7. Remain open • Stay close to the data • Keep codes simple and precise • Construct short codes • Preserve actions [gerunds – i.e. shifting, interpreting, avoiding, predicting] • Compare data with data • Move quickly through the data 1) Initial coding

  8. Take most frequent and analytically interesting codes from the initial coding • Tying emerging concepts to the data (verification process) 2) focused coding 1) Initial coding

  9. After Coding: Some Heuristics • Sorting and Diagramming • Concept charting • Flow diagrams • Lofland and Lofland and Charmaz have many suggestions

  10. Transitioning between codes and full write up • Something like blog-writing (could even be a public or private blog) 4) memo-writing 2) focused coding 1) Initial coding

  11. Timesavers and Shortcuts • Moving along quickly to ‘focused coding’ • Do ‘initial’ coding on a selection of the data (the early data, the most rich material) • Software (helpful for searching especially) – NVivo or even Microsoft OneNote

  12. A Coding Exercise

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