Using AI to Develop Categories in Qualitative Research: What is Possible at the Moment
Abstract and keywords
Abstract (English):
An overview of the experience of using artificial intelligence for the analysis of qualitative data, and, in particu- lar, the development of sociological categories and concepts in qualitative research is presented coding the interview with a woman who experienced pregnancy during her student years. Based on the logic of coding for subsequent conceptualization of data, a systematization of tasks for artificial intelligence (a large language model) is proposed for using it as an assistant in data analysis and analytical triangulation.

Keywords:
qualitative analysis, concepts and categories, thematic coding, theoretical sensitivity, Open AI, triangulation with AI
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References

1. Davydov, S. G., Matveeva, N. N., Ademukova, N. V., Vichkanova, A. A. Artificial intelligence in Russian higher education: Current state and development prospects // University Management: Practice and Analysis. 2024. Vol. 28. No. 3. P. 32–44. (In Russ.). DOI: https://doi.org/10.15826/umpa.2024.03.023; EDN: https://elibrary.ru/FELSPP

2. Galkin, K. A., Petukhova, I. S., Parfenova, O. A. OPEN AI as an assistant in interview analysis // Sotsiologicheskie Issledovaniya. 2025. No. 4. P. 105–116. https://doi.org/10.31857/S0132162525040095 (In Russ.). EDN: https://elibrary.ru/HMWTVK

3. Gotlib A. S. Autoethnography (a conversation with myself in two registers). (Part I). // Sociology: Methodology, Methods, Mathematical Modelling (Sociology: 4M). 2016. No. 18. P. 5–16. (In Russ.).

4. Zabaev I. V. The logic of data analysis in grounded theory: B. Glaser’s version. // Sociology: Methodology, Methods, Mathematical Modelling (Sociology: 4M). 2011. No. 32. P. 124–142. (In Russ.). EDN: https://elibrary.ru/OJILPH

5. Moiseev, S., Staf, M. "There’s an AI for that": Opportunities of ChatGPT for working with open data sources. // Sociodigger. 2023. Vol. 4. Issue 7–8(27). URL: https://sociodigger.ru/articles/articles-page/algoritmy- iskusstvennogo-intellekta-v-prikladnykh- sociologicheskikh-issledovanijakh (accessed 13.07.2025) (In Russ.).

6. Practices of qualitative data analysis in the social sciences: A textbook / Ed. E. V. Polukhina. Moscow: HSE Publishing House, 2023. 383 p. (In Russ.).

7. Rozhdestvenskaya, E. Yu. INTER-Encyclopedia: Narrative interview. // Interaction. Interview. Interpretation. 2020. Vol. 12. No. 4. P. 114–127. https://doi.org/10.19181/inter.2020.12.4.8 (In Russ.). EDN: https://elibrary.ru/FDKZEU

8. Shteinberg I. E. The "long table" method in qualitative field sociological research. Moscow: VCIOM, 2021. 300 p (In Russ.).

9. Bail C. A. Can Generative AI improve social science? // Proceedings of the National Academy of Sciences. 2024. No. 21 (121). e2314021121. https://doi.org/10.1073/pnas.2314021121 EDN: https://elibrary.ru/MVSQQR

10. Charmaz K. Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Thousand Oaks (CA): Sage, 2006. 224 p.

11. Clarke A. Situational Analysis: Grounded Theory after the Postmodern Turn. Thousand Oaks (CA): Sage, 2005. 365 p. DOI: https://doi.org/10.4135/9781412985833

12. Clarke A. Situational Analyses: Grounded Theory Mapping After the Postmodern Turn // Symbolic Interaction. 2003. 26 (4). P. 553–576. https://doi.org/10.1525/si.2003.26.4.553

13. Denzin N. K. The research act: A theoretical introduction to sociological methods (2nd ed.). New York, NY: McGraw Hill, 1978. 379 p.

14. Glaser B. G., Strauss A. L. The Discovery of Grounded Theory: Strategies for Qualitative Research. New York: Aldine, 1967. 271 p.

15. Glaser B. G. Theoretical Sensitivity: Advances in the Methodology of Grounded Theory. Mill Valley (CA): Sociology Press, 1978. 164 p.

16. Guest G., MacQueen K. M., Namey E. E. Applied Thematic Analysis. Thousand Oaks: SAGE Publications, Inc. 2012. 320 p. https://doi.org/10.4135/9781483384436

17. Ledwith M., Springett J. Participatory practice. community based action for transformative change. Bristol: Polity Press. 2010. 312 p. DOI: https://doi.org/10.2307/j.ctt1t89038

18. Morgan D. L. Exploring the Use of Artificial Intelligence for Qualitative Data Analysis: The Case of ChatGPT // International Journal of Qualitative Methods. 2023. No. 22 (6). P. 1–10. https://doi.org/10.1177/16094069231211248 EDN: https://elibrary.ru/HZZFII

19. Naeem M., Smith T., Thomas L. Thematic Analysis and Artificial Intelligence: A Step-by-Step Process for Using ChatGPT in Thematic Analysis // International Journal of Qualitative Methods. Vol. 2023. No. 24 (7). P. 1–18. https://doi.org/10.1177/16094069251333886

20. The SAGE Handbook of action research: Participative inquiry and practice. London, UK: Sage, 2001. 720 p.

21. Ukanwa K. Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework // Current Opinion in Psychology. 2024. Vol. 58. 101836. https://doi.org/10.1016/j.copsyc.2024.101836 EDN: https://elibrary.ru/MZZOUG

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