Using ChatGPT for Analyzing Qualitative Research in Elder Care
Author Information
Author(s): Han Soojeong, Alexander Gregory
Primary Institution: Columbia University
Hypothesis
How does ChatGPT's qualitative analysis compare to human analysis in the context of elder care?
Conclusion
ChatGPT can analyze qualitative data much faster than humans but misses some important details.
Supporting Evidence
- ChatGPT completed qualitative analysis in minutes, while humans took days.
- ChatGPT provided clear definitions and explanations.
- ChatGPT calculated convergence and divergence rates efficiently.
- 14 out of 79 sub-themes were missing in ChatGPT analysis.
Takeaway
This study looked at how well ChatGPT can help analyze discussions about taking care of older people. It can do it really fast, but sometimes it misses important things.
Methodology
The study analyzed 10 roundtable discussions using ChatGPT and compared it to human analysis based on established qualitative research methods.
Potential Biases
ChatGPT's responses are based on its training data, which may not be current.
Limitations
ChatGPT missed 18% of sub-themes and may not capture all nuances from discussions.
Participant Demographics
47 experts in care of older adults participated.
Digital Object Identifier (DOI)
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