1
Q
What are qualitative research methods?
A
- Aimed at collecting qualitative data
- Interviews
- Surveys
Questionnaires with open-ended questions
Story completion
Reflections on a vignette - Observations
Video recording
Notes taking
2
Q
Interview method
A
Asking people questions, exploring their experiences or perspectives on a particular issue
- Structured interviews
- Unstructured
- Semi-structured
3
Q
What kind of questions do you ask in an interview?
A
- Open questions
- Non-leading questions
- Singular questions
- Linguistically appropriate questions
- Non-assumptive questions
4
Q
What are some common issues in conduction interviews?
A
- Physical space
- Distance
- Recording
- Keeping focus
- Trust
5
Q
What can do to improve conducting interviews?
A
- Having a protocol; clear structure, questions already written down, language check
- Training the interviewers
6
Q
What is thematic analysis?
A
- A method to identify themes and patterns
- Most commonly used
- A bottom up type of analysis
- Not shaped by existing theories (inductive) or guided by theories (theoretical)
7
Q
What can theories help in thematic analysis?
A
- Develop argument for research question
- Inferring data
8
Q
What are the advantages of thematic analysis?
A
- Flexibility in theoretical framework, research question, methods and sample size
- Both primary and secondary data
- A great starter to qualitative method
9
Q
What are the phases in thematic analysis?
A
- Familiarize with the data
- Generate initial codes
- Search for themes
- Review the themes
- Define and name the themes
- Write the report
10
Q
Familiarize with the data
A
- Re-reading the data several times
- No analytic observations
- Transcribing the data
11
Q
Generate initial codes
A
- Label for important features of the data
- Keeps on getting repeated
- Start of analytic process; to capture both semantic and conceptual reading of the data
12
Q
Search for themes
A
- Reviews the codes, put them into meaningful groups
- Start of constructing themes
- Identify both similarities and differences, patterns
13
Q
Review the themes
A
- Consistency of the themes
- Relations across themes
- Relevance to research question
- Internal homogeneity
- External heterogeneity
14
Q
Define and name the themes
A
- Clear definitions
- The essence of each theme
- How does it fit in with the narrative?
15
Q
Write the report
A
- Coherent story about the data
- Clearly defined codes and themes
- Quotes
- Contextualize the results, relation to existing data
- No repetitions or uncertainties
- Narrative
16
Q
What could be some pitfalls to avoid in thematic analysis?
A
- Changing the questions into themes or quotations
- Too much overlap between themes
- Mismatch between data and analytical claims or research question and form of thematic analysis
MoA-2
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