10. Qualitative data analysis

Question 1

What is thematic analysis?

Answer 1

Process of interpretation of QL data to find patterns of meaning

Question 2

Process of TA

Answer 2

1. Researcher collects data using semi-structured individual/ focus group interview transcripts/ observations
2. Researcher read + re-reads transcripts
3. Researcher identifies codes in data in relation to question (highlighting relevant comments)
4. Researcher uses codes to interpret common themes / sub themes which redefined to capture ppt overall message
5. Researcher selects specific quotes to illustrate themes/ sub themes as supporting QL evidence

Question 3

What are the traits of TA

Answer 3

• Latent: focusing on underlying meaning
• Inductive: specific to broad generalisation
• Based on researcher interpretations of transcript
• Not for QN analysis

Question 4

Strengths of TA

Answer 4

+ High internal validity: rich, insightful QL data uses ppt quotes as supporting evidence for themes and sub themes identified
+ High generalisability: allows researchers to study ppt thoughts, perceptions, experiences across cultures, genders, backgrounds (takes into account individual differences)

Question 5

Weaknesses of TA

Answer 5

• Credibility: subjective interpretation as based on researcher interpretation therefore difficult establish C+E as data not objective and researcher bias could be present
• Low reliability: methodology repeated easy but unlikely will come to same themes and sub themes as interpretations are subjective and unique to individuals