♠ Stories ♠ Excerpts ♠ Fables ♠ Myths.

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TELLING A STORY

Transcript of ♠ Stories ♠ Excerpts ♠ Fables ♠ Myths.

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TELLING A STORY

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first person narrative

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real “voices"

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vivid descriptions

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DON’T BE AFRAID

of your own voice

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HOW ABOUT THAT JOURNAL?

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TRANSCRIPTIONS?

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STRUCTURE

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IN THE BEGINNING…

♠ Stories♠ Excerpts♠ Fables♠ Myths

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MYTHS & METAPHORS

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THEN WHAT?

♠ Organize findings by question

♠ Organize findings by themes

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TIP: USE TABLES & MODELS

Source: Nicki Atkinson

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And MORE TIPS

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RECIPE?“the hallmark of qualitative research is the creative involvement of the individual researcher” (Tesch, 1990, p. 96).

Tesch, R. (1990).Qualitative research analysis types & software toolsNew York, NY: The Falmer Press.

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1. Begin Immediately

Glesne, C. (1999). Becoming qualitative researchers. New York, NY: Longman

Data analysis occurs at the same time as data collection

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“Unlike a squirrel hoarding acorns for the winter, you should

not keep collecting data for devouring later. Rather,

examine your data periodically to ensure that your acorns

represent the variety or varieties desired, and they are meaty nuggets, worthy of your effort” (Glesne, 1999, p. 133)

Glesne, C. (1999). Becoming qualitative researchers. New York, NY: Longman

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2. Take an overall look

Tesch, R. (1990).Qualitative research analysis types & software toolsNew York, NY: The Falmer Press.

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Categories / themes identified are flexible and can be changed as you continue reviewing the data.

Tesch, R. (1990).Qualitative research analysis types & software toolsNew York, NY: The Falmer Press.

3. Keep Flexible

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Look for examples that DENY your first impressions.

Tesch, R. (1990).Qualitative research analysis types & software toolsNew York, NY: The Falmer Press.

4. Look for Negative Cases

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End the analysis when the new data no longer provides you with original insights.“The process ‘exhausts’ the data” (p. 95).

Tesch, R. (1990).Qualitative research analysis types & software toolsNew York, NY: The Falmer Press.

5. When do you stop?