Ch 16rev - categories in a meaningful way Selective coding...

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Analyzing Qualitative Data
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Overview Qualitative  data  includes fieldnotes,  interview transcripts, and artifacts “Data analysis” includes 2 steps: Analysis  – identifying themes, patterns,  Interpretation  (synthesis) – making  sense of/giving meaning to themes
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While still collecting data… Write  analytical memos  –  notes to yourself about what  experiencing
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Grounded Theory Once you have all your data, use the  “constant comparative method” to  assigning, and revising codes to  identify relationships among data. coding
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Open coding - initial identification of themes based  on the data May come from existing  literature/theory May emerge from the data (“ in-vivo”   codes) Data is  theoretically saturated  once  a category is established to fit all  relevant ideas
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Axial coding –  linking together themes/ 
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Unformatted text preview: categories in a meaningful way Selective coding – framing themes & data into a meaningful whole by identifying core categories and relating others to them Methods of categorization Research questions Recurrence, repetition, and/ or forcefulness of themes articulated by participants Metaphoric, dramatistic, & theoretical frames General guidelines Be very intimate with your data (e.g. fieldnotes, interview transcripts, or artifacts) Look at the whole before breaking down into parts Guidelines, cont. Go back and forth between different components of data, and between data and literature Confusing/contradictory ideas often generate the most interesting/important findings Analyzing Qualitative Data is: Inductive Creative Nonlinear Evaluating Credibility Quotes & thick description as evidence Member checks Triangulation of data, theories, methods, or researchers...
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This note was uploaded on 01/03/2011 for the course COM 3083 taught by Professor Deturk during the Spring '10 term at The University of Texas at San Antonio- San Antonio.

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Ch 16rev - categories in a meaningful way Selective coding...

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