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The Use of Artificial Intelligence for Qualitative Data Analysis: ChatGPT

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  • Ion-Danut LIXANDRU

Abstract

This paper thoroughly investigates the profound and complex impact of tools such as ChatGPT in the analysis of qualitative data. Using a comparative analysis starting from the data obtained in a previous study, the paper highlights the relevance of employing generative artificial intelligence in research. ChatGPT 3.5 was utilized in the analysis process, and the data were extracted from a focus group involving 8 respondents. The conclusions emphasize a significant similarity in data analysis, supporting the idea that artificial intelligence can play a trustworthy role in interpreting qualitative information. The generative artificial intelligence's synthesis capability becomes fundamental, facilitating the efficient handling of complex texts for researchers and analysts. ChatGPT accelerates the analysis process, providing results in a much shorter timeframe compared to traditional methods, an essential characteristic in the current academic and research context.

Suggested Citation

  • Ion-Danut LIXANDRU, 2024. "The Use of Artificial Intelligence for Qualitative Data Analysis: ChatGPT," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 28(1), pages 57-67.
    • Handle: RePEc:aes:infoec:v:28:y:2024:i:1:p:57-67
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    References listed on IDEAS

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    1. Chris Stokel-Walker & Richard Van Noorden, 2023. "What ChatGPT and generative AI mean for science," Nature, Nature, vol. 614(7947), pages 214-216, February.
    2. Richard Van Noorden & Jeffrey M. Perkel, 2023. "AI and science: what 1,600 researchers think," Nature, Nature, vol. 621(7980), pages 672-675, September.
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