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S522 Lecture 3

S522 Lecture 3. February 10 The thematic approach; finding themes and developing categories. Pattern recognition Openness and flexibility Planning, systems thinking Creating a usable system Tacit knowledge [cultural knowledge].

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S522 Lecture 3

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  1. S522 Lecture 3 February 10 The thematic approach; finding themes and developing categories

  2. Pattern recognition • Openness and flexibility • Planning, systems thinking • Creating a usable system • Tacit knowledge [cultural knowledge]

  3. “Good practice” in qualitative research requires the systematic and clear presentation of analyses which are demonstrably grounded in the data and which pay attention to reflexivity issuesWillig p. 144

  4. Henwood & Pidgeon (1992) WHAT CONSTITUTES ‘GOOD’ QUALITATIVE RESEARCH (from Willig p 142) • The importance of ‘fit’ • Integration of theory • Reflexivity • Documentation • Theoretical sampling and negative case analysis • Sensitivity to negotiated realities • Transferablity

  5. Validation comes to depend on the quality of craftsmanship in an investigation, which includes continually checking, questioning, and theoretically interpreting the findings. In a craftsmanship approach to validation, the emphasis is moved from inspection at the end of the production line to quality control throughout the stages of knowledge production.Kvale, 1995

  6. Boyatzis, p 11 Four stages • Sensing themes - recognising the ‘codable moment’ • Doing it reliably - encoding consistently • Developing codes • Interpreting the information and themes in the context of a theory or conceptual framework

  7. Potential Problems: • Projection • Sampling • Mood and style [flexibility, tolerance of ambiguity]

  8. Boyatzis: a Useful code • A label • A definition of what the theme concerns • A description of how to know when the theme occurs • A description of any qualifications or exclusion • Examples, both negative and positive.

  9. Theory-driven codes • Codes deriving from prior research [Both etic] • Data-driven codes [emic]

  10. Boyatzis; developing themes and a code • 1. Reducing the raw information • 2. Identifying themes within samples • 3. Comparing themes across subsamples • 4. Creating a code • 5. Determining the reliability or consistency of judgment among coders.

  11. Memo-writing “Memos chart, record and detail…. We start by writing about our codes and data and move upward to theoretical categories and keep writing memos throughout the research process. Memo-writing prompts you to analyse your data and codes early in the research process”

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