L18: QUALITATIVE RESEARCH IN PRACTISE Flashcards
(38 cards)
Who developed the widely used approach to thematic analysis in 2006?
Braun and Clarke.
Is thematic analysis a methodology or a method?
It is a method—a flexible set of tools for analysing qualitative data.
What does thematic analysis aim to identify?
Patterns or themes (units of meaning) across the data.
What kinds of data can thematic analysis be applied to?
Interviews, focus groups, diaries, qualitative surveys, vignettes, and more.
Are there strict sampling requirements in thematic analysis?
No, it has no specific sampling requirements.
What is coding in qualitative analysis?
Marking short segments of text with a word or short phrase to label meaning.
What is selective coding?
Coding only the instances of the specific phenomenon you are interested in.
What is complete coding?
Coding everything in the data, then identifying what is relevant—usually done only for the first few transcripts
What are some ‘straightforward’ analytic possibilities in thematic analysis?
Describes, summarises, and ‘gives voice’ to participants’ experiences.
What are some ‘complex’ analytic possibilities in thematic analysis?
Tells a story and interprets the deeper meaning behind the data
What is semantic coding?
Coding that captures the surface, explicit meaning of the data without interpretation.
What is latent coding?
Coding that identifies deeper, implicit meanings in the data and involves interpretation.
Is one type of coding better than the other?
No, both semantic and latent codes are valuable and often used together in analysis.
What type of codes is analysis often more reliant on at the start?
Descriptive (semantic) codes.
Can coding be informed by existing frameworks or theories?
Yes, researchers can draw on existing theories to guide coding
How is a code created in thematic analysis?
By reading the text line by line to identify meaningful segments and assigning a label that captures their meaning
What happens after codes are created?
They are clustered into potential themes or subthemes.
What is a theme in thematic analysis?
A pattern in the data that either describes and organizes observations or interprets aspects of the phenomenon.
What makes a theme significant?
It captures something crucial about the data in relation to the research question and shows a patterned response.
How are themes understood in relation to the researcher’s role?
Themes are actively created by the researcher, shaped by their interests, positioning, and theoretical framework, in interaction with the data.
What influences the themes you develop in thematic analysis?
Your research questions and consideration of what issues are most relevant and meaningful to your study.
What are the two main approaches to theme development?
Inductive (data-driven) and deductive (theory-driven)—or a combination of both.
What kinds of patterns can be the basis for themes?
Frequently mentioned subjects (e.g., relationships with healthcare professionals)
Specific experiences or views (e.g., fear)
Ways of talking about something (e.g., negative self-talk)
What is reflexivity in qualitative research?
It is the practice of reflecting on how the researcher’s background, beliefs, and subjectivity influence the research process.