主题分析
定性分析
基石
定性研究
普通合伙企业
定性性质
主题结构
心理学
计算机科学
社会学
政治学
社会科学
机器学习
法学
艺术
视觉艺术
程序设计语言
作者
He Zhang,Chuhao Wu,Jingyi Xie,Yao Lyu,Jie Cai,John M. Carroll
出处
期刊:Cornell University - arXiv
日期:2023-01-01
被引量:20
标识
DOI:10.48550/arxiv.2309.10771
摘要
Thematic analysis is a cornerstone of qualitative research, yet it is often marked by labor-intensive procedures. Recent advances in artificial intelligence (AI), especially with large-scale language models (LLMs) such as ChatGPT, present potential avenues to enhance qualitative data analysis. This research delves into the effectiveness of ChatGPT in refining the thematic analysis process. We conducted semi-structured interviews with 17 participants, inclusive of a 4-participant pilot study, to identify the challenges and reservations concerning the incorporation of ChatGPT in qualitative analysis. In partnership with 13 qualitative analysts, we crafted cueing frameworks to bolster ChatGPT's contribution to thematic analysis. The results indicate that these frameworks not only amplify the quality of thematic analysis but also bridge a significant connection between AI and qualitative research. These insights carry pivotal implications for academics and professionals keen on harnessing AI for qualitative data exploration.
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