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Generative-AI for Qualitative Research – Dr. Christina Silver

Session I Generative-AI for Qualitative Research – Dr. Christina Silver

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Question 1 of 20

1. Question
From when did computer-assisted qualitative data analysis (CAQDAS) programs become available?
- Mid 1980s
- Late 1990s
- Early 2000s
- After ChatGPT
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Question 2 of 20

2. Question
Where on the methodological spectrum is the analysis of qualitative data undertaken?
- All of these
- Purist space
- Pluralist space
- Positivist space
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Question 3 of 20

3. Question
Which of the following is not usually seen as an analytical method related to a purist methodological orientation?
- Classic Content Analysis
- Grounded Theory
- Phenomenological Analysis
- Narrative Analysis
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Question 4 of 20

4. Question
Currently, what is the role of generative-AI in qualitative research?
- Assisting researchers in tasks determined by them as appropriate to each study
- Replacing the need for human researchers
- Autonomous development of new theories
- Teaching researchers how to do qualitative analysis
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Question 5 of 20

5. Question
What is a key difference between traditional and generative-AI?
- Generative-AI Can create content, but traditional-AI cannot
- Traditional-AI can create content, but generative-AI cannot
- Generative-AI can be used for qualitative research, but traditional-AI cannot
- Traditional-AI can be used for qualitative research, but generative-AI cannot
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Question 6 of 20

6. Question
What is a “notorious” issue when using ChatGPT (or other AI chatbots) for literature review?
- It may make up fake citations and references
- It may turn off the browser automatically
- It may install useless updates
- It may damage internal memories
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Question 7 of 20

7. Question
In what stage of qualitive research might generative-AI be used?
- All of these
- Data collection
- Literature review
- Data analysis
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Question 8 of 20

8. Question
Which of the following is a consideration when using generative-AI to facilitate qualitative analysis tasks?
- All of these
- The context of the research
- Disciplinary conventions and focus
- Methods and goals of the analysis
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Question 9 of 20

9. Question
In qualitative research, what does the term “silicon sample” refer to?
- A dataset generated by a large language model (LLM), used to simulate virtual participants with specific characteristics.
- A sample of interviews collected from Silicon Valley tech workers.
- A dataset composed of audio recordings stored on silicon chips.
- A selection of survey responses gathered using online forms.
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Question 10 of 20

10. Question
In qualitative research, what is “synthetic data”?
- Artificially generated data produced through algorithms or simulations to replace or supplement real-world data.
- Historical datasets recreated from archived research papers.
- Real-world data that has been anonymized for ethical use.
- Data collected from participants using synthetic voice recordings.
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Question 11 of 20

11. Question
Which of the following is a major ethical concern related to the development of Large Language Models (LLMs) in qualitative research?
- They are trained on stolen data and exploit human annotations
- They require no human oversight
- They use open-access training data only
- They guarantee unbiased results
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Question 12 of 20

12. Question
Which of the following is a significant ethical consequence arising from the use of Large Language Models (LLMs) for qualitative research?
- All of these
- perpetuating societal biases
- causing environmental harm
- data security and privacy
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Question 13 of 20

13. Question
Which of the following must be carefully considered before using Generative-AI for qualitative analysis?
- All of these
- that assurances by the platform being used about data security in relation to the processing, retention and use of uploaded data are sufficient for each use-case
- that research participants have given informed consent for their data to be analysed with the assistance of AI
- that procedures for documenting the use of AI throughout the research process and the transparent communication of its use are planned for
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Question 14 of 20

14. Question
What does “summarisation” in Generative AI-assisted qualitative analysis primarily offer?
- Condensed versions of selections of text
- Mathematical interpretation of numerical datasets
- Real-time coding of every sentence as a live interview takes place
- Detection of plagiarism in text responses
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Question 15 of 20

15. Question
What does “conversing” mean in Generative AI-assisted qualitative analysis?
- Engaging in conversational analysis of texts and/or coded-segments via a chat interface
- Conducting secondary literature reviews
- Encrypting and storing sensitive data
- Visualizing qualitative codes for quantitative purposes
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Question 16 of 20

16. Question
What are two useful questions to reflect on when considering appropriate uses of AI tools to assist qualitative analysis throughout the workflow?
- what is gained and what is lost?
- who is the winner and who is the loser?
- what is won and what is lost?
- what is maximized and what is minimized?
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Question 17 of 20

17. Question
Which is the best software or platform for AI-assisted qualitative analysis?
- it depends on the needs of the project and the researcher's preferences
- NVivo
- MAXQDA
- Reveal
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Question 18 of 20

18. Question
What are the three aspects of the “impossible triangle”?
- Time, Cost, Quality
- Patience, Quality, Cost
- Quality, Integrity, Time
- Time, Cost, Integrity
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Question 19 of 20

19. Question
What is a benefit of using Generative AI in the qualitative research process?
- It can assist humans with analytic tasks throughout the qualitative workflow
- It eliminates the need for IRB review
- It guarantees objective interpretations
- It eliminates the need for interviewing participants
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Question 20 of 20

20. Question
What is a key concern when Generative-AI is used throughout a qualitative project with minimal or no human involvement?
- qualitative deepfake
- quantitative deepfake
- qualitative folklore
- qualitative reality
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By Rebecca Velez|2025-06-05T18:19:34-04:00June 5th, 2025|Comments Off on Generative-AI for Qualitative Research – Dr. Christina Silver

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