About this item
- Title
- ChatGPT for Automated Qualitative Research: Content Analysis
- Content partner
- Auckland University of Technology
- Collection
- Tuwhera
- Description
Background: Data analysis approaches such as qualitative content analysis are notoriously time and labor intensive because of the time to detect, assess, and code a large amount of data. Tools such as ChatGPT may have tremendous potential in automating at least some of the analysis. Objective: The aim of this study was to explore the utility of ChatGPT in conducting qualitative content analysis through the analysis of forum posts from people sharing their experiences on reducing their sugar c...
- Format
- Research paper
- Research format
- Journal article
- Date created
- 2024-07-25
- Creator
- Bijker, R / Merkouris, SS / Dowling, NA / Rodda, SN
- URL
- https://openrepository.aut.ac.nz/handle/10292/17866
- Related subjects
- ChatGPT / Theoretical Domains Framework / natural language processing / qualitative content analysis / 4203 Health Services and Systems / 42 Health Sciences / 08 Information and Computing Sciences / 11 Medical and Health Sciences / 17 Psychology and Cognitive Sciences / Medical Informatics / 4203 Health services and systems / Qualitative Research / Humans
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©Rimke Bijker, Stephanie S Merkouris, Nicki A Dowling, Simone N Rodda. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.07.2024. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
You can learn more about the rights status of this item at: https://creativecommons.org/licenses/by/4.0/
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 13 August 2024, and updated 01 May 2025.
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