Thematic Analysis Flashcards

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
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2
Q

Interview method

A

Asking people questions, exploring their experiences or perspectives on a particular issue
- Structured interviews
- Unstructured
- Semi-structured

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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
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4
Q

What are some common issues in conduction interviews?

A
  • Physical space
  • Distance
  • Recording
  • Keeping focus
  • Trust
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5
Q

What can do to improve conducting interviews?

A
  • Having a protocol; clear structure, questions already written down, language check
  • Training the interviewers
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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)
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7
Q

What can theories help in thematic analysis?

A
  • Develop argument for research question
  • Inferring data
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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
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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
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10
Q

Familiarize with the data

A
  • Re-reading the data several times
  • No analytic observations
  • Transcribing the data
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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
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12
Q

Search for themes

A
  • Reviews the codes, put them into meaningful groups
  • Start of constructing themes
  • Identify both similarities and differences, patterns
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13
Q

Review the themes

A
  • Consistency of the themes
  • Relations across themes
  • Relevance to research question
  • Internal homogeneity
  • External heterogeneity
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14
Q

Define and name the themes

A
  • Clear definitions
  • The essence of each theme
  • How does it fit in with the narrative?
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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
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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