♠ Stories ♠ Excerpts ♠ Fables ♠ Myths.
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Transcript of ♠ Stories ♠ Excerpts ♠ Fables ♠ Myths.
TELLING A STORY
first person narrative
real “voices"
vivid descriptions
DON’T BE AFRAID
of your own voice
HOW ABOUT THAT JOURNAL?
TRANSCRIPTIONS?
STRUCTURE
IN THE BEGINNING…
♠ Stories♠ Excerpts♠ Fables♠ Myths
MYTHS & METAPHORS
THEN WHAT?
♠ Organize findings by question
♠ Organize findings by themes
TIP: USE TABLES & MODELS
Source: Nicki Atkinson
And MORE TIPS
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.
1. Begin Immediately
Glesne, C. (1999). Becoming qualitative researchers. New York, NY: Longman
Data analysis occurs at the same time as data collection
“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
2. Take an overall look
Tesch, R. (1990).Qualitative research analysis types & software toolsNew York, NY: The Falmer Press.
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
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
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?