1
Q
Quality in qualitative research
A
Sensitivity:
-Embedding data in context = have to understand context
Commitment and rigour:
-Remaining faithful to ppts stories
Transparency:
-Documenting and demonstrating interpretation
Impact:
-Reaching influence
2
Q
Addressing issues of quality
A
Audit trail: outline procedure:
-Make everything decision clear and justify every decision
Audit trail: retain analytic process
3
Q
Prompt methods
A
- Encourages discussion and debate
- Good for sensitive topics
- Discussion ppt lead
4
Q
Story completion
A
- Complete story stem
- Allows creativity and flexibility
5
Q
Solicited diaries
A
- Diary writing with guidelines
- Guidelines decision by researcher
- Cathartic for ppt
6
Q
Inductive vs deductive analysis
A
- Inductive = themes generated from data without predefining a specific research question
- Deductive = related to predefined theoretical position or specific research question –> theory used to organise data into patterns
7
Q
Stages of thematic analysis
A
- Familiarisation
- Data transcribed - Initial coding
- Code interesting data and retain context - Identification of themes
- Long list of codes combined to create border themes - Theme review
- Review themes for internal consistency and distinctness - Define themes
- Do themes answer question? - Write up
- Tell story that comes from analysis = use evidence - Interpretation
8
Q
Advantages of thematic analysis
A
- Flexible and adaptable
- Easy to use if new to qualitative research
- Not all data needs to be coded
- Can interpret differently
9
Q
Disadvantages of thematic analysis
A
- Might focus on obvious
- Difficult to identify inconsistencies or continuity issues across ppts
- Doesn’t allow for conclusions related to language/tone of voice
- Can be time intense
10
Q
Reflexivity
A
- Personal reflexivity = your influence on research
- Epistemological reflexivity = influence of assumptions about knowledge
- Critical language awareness = power of words
RMC
flashcards
Decks in class (5)
# Cards
