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Analysis
making sense of data; identifying patterns, relationships, and meaning
Coding
labeling segments of data to organize and interpret them
Thematic development
identifying broader meanings or “stories” within and across data
Conceptual grounding (1)
qualitative analysis is interpretive, iterative, and reflexive
Conceptual grounding (2)
analysis starts the moment data is collected
Human-centered
studying subjective meaning, context, and perspective
Hermeneutic tradition
assumes all understanding involves interpretation
Researchers as instruments
researcher’s theoretical lens, positionality, and cultural perspective shape analysis
Descriptive coding
labeling “what is there”
Analytic coding
interpreting “what it means”
In vivo coding
looking at specific words to group into an overarching theme
Axial coding
overarching themes
Inductive
allow coding themes to appear
Deductive
impose coding themes to appear
Coding steps
(1) initial coding, (2) focused coding