L18: QUALITATIVE RESEARCH IN PRACTISE Flashcards

(38 cards)

1
Q

Who developed the widely used approach to thematic analysis in 2006?

A

Braun and Clarke.

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2
Q

Is thematic analysis a methodology or a method?

A

It is a method—a flexible set of tools for analysing qualitative data.

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3
Q

What does thematic analysis aim to identify?

A

Patterns or themes (units of meaning) across the data.

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4
Q

What kinds of data can thematic analysis be applied to?

A

Interviews, focus groups, diaries, qualitative surveys, vignettes, and more.

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5
Q

Are there strict sampling requirements in thematic analysis?

A

No, it has no specific sampling requirements.

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6
Q

What is coding in qualitative analysis?

A

Marking short segments of text with a word or short phrase to label meaning.

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7
Q

What is selective coding?

A

Coding only the instances of the specific phenomenon you are interested in.

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8
Q

What is complete coding?

A

Coding everything in the data, then identifying what is relevant—usually done only for the first few transcripts

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9
Q

What are some ‘straightforward’ analytic possibilities in thematic analysis?

A

Describes, summarises, and ‘gives voice’ to participants’ experiences.

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10
Q

What are some ‘complex’ analytic possibilities in thematic analysis?

A

Tells a story and interprets the deeper meaning behind the data

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11
Q

What is semantic coding?

A

Coding that captures the surface, explicit meaning of the data without interpretation.

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12
Q

What is latent coding?

A

Coding that identifies deeper, implicit meanings in the data and involves interpretation.

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13
Q

Is one type of coding better than the other?

A

No, both semantic and latent codes are valuable and often used together in analysis.

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14
Q

What type of codes is analysis often more reliant on at the start?

A

Descriptive (semantic) codes.

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15
Q

Can coding be informed by existing frameworks or theories?

A

Yes, researchers can draw on existing theories to guide coding

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16
Q

How is a code created in thematic analysis?

A

By reading the text line by line to identify meaningful segments and assigning a label that captures their meaning

17
Q

What happens after codes are created?

A

They are clustered into potential themes or subthemes.

18
Q

What is a theme in thematic analysis?

A

A pattern in the data that either describes and organizes observations or interprets aspects of the phenomenon.

19
Q

What makes a theme significant?

A

It captures something crucial about the data in relation to the research question and shows a patterned response.

20
Q

How are themes understood in relation to the researcher’s role?

A

Themes are actively created by the researcher, shaped by their interests, positioning, and theoretical framework, in interaction with the data.

21
Q

What influences the themes you develop in thematic analysis?

A

Your research questions and consideration of what issues are most relevant and meaningful to your study.

22
Q

What are the two main approaches to theme development?

A

Inductive (data-driven) and deductive (theory-driven)—or a combination of both.

23
Q

What kinds of patterns can be the basis for themes?

A

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)

24
Q

What is reflexivity in qualitative research?

A

It is the practice of reflecting on how the researcher’s background, beliefs, and subjectivity influence the research process.

25
Why is reflexivity important?
It promotes credibility by acknowledging the researcher’s role in the construction of meaning.
26
What aspects of research can be shaped by the researcher’s ideology?
The research question, data collection methods, sample, coding, and analysis
27
What does reflexivity take into account?
The subjective nature of perception and how it affects interpretation.
28
What should researchers consider about how research affects them?
How the research process impacts them both personally and professionally.
29
Why is it important for researchers to reflect critically on their findings?
To avoid accepting findings at face value and to acknowledge how their own perspective may shape interpretation
30
In a study on breast cancer survivors, how might a researcher’s feelings influence the research?
They may project personal emotions into interviews. Their emotional responses could shape the questions they ask. Their own experiences (e.g., with illness or loss) could bias how they interpret or emphasise findings.
31
How can reflexivity help mitigate researcher bias?
By recognising personal influences and adjusting the approach in future interviews and reporting.
32
What should good thematic analysis start with?
Codes that accurately represent the data.
33
Should themes simply mirror the data collection questions?
No, good analysis goes beyond just using the questions as themes
34
What kind of themes should be developed in good thematic analysis?
Themes that provide nuanced and complex interpretations of the data
35
Is it enough to just present data extracts with little interpretation?
No, good thematic analysis interprets the data and uses extracts as evidence.
36
What role does reflexivity play in good thematic analysis?
It should show evidence of reflexivity, acknowledging the researcher’s influence.
37
What is the overall goal of good thematic analysis?
To provide a rich, coherent analysis that answers the research questions.
38
What is a key feature of coding in thematic analysis? Codes are always derived from existing frameworks or theories Codes describe the content of the text Codes label the language used by participants Codes are applied after themes have been identified
Codes describe the content of the text