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Tutorial (165) Research Instruments, Questionnaires, and Tools (1213) Focus Groups and Qualitative Research for Human Factors Research (1569) Generative Language Models Including ChatGPT (1554) AI Language Models in Health Care (757) Foundation Models and Their Applications in AI (119)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70122, first published .
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A Practical Guide and Assessment on Using ChatGPT to Conduct Grounded Theory: Tutorial

A Practical Guide and Assessment on Using ChatGPT to Conduct Grounded Theory: Tutorial

Authors of this article:

Yongjie Yue1 Author Orcid Image ;   Dong Liu2 Author Orcid Image ;   Yilin Lv2 Author Orcid Image ;   Junyi Hao3 Author Orcid Image ;   Peixuan Cui2 Author Orcid Image
Article Authors Cited by (27) Tweetations Metrics

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  1. Mountford‐Zimdars A, Ashley L, Worth E, Playford C. Ambivalent Agents: The Social Mobility Industry and Civil Society Under Neoliberalism in England. The British Journal of Sociology 2025;76(5):1158 View
  2. Shikino K, Yamauchi K, Araki N, Ozaki N, Kamata Y, Aoki S, Katsuyama Y, Sogai D, Miyamoto M, Yoshimura K, Oki T, Ito S. Impact of Community-Oriented Medical Education on Medical Students’ Perceptions of Community Health Care: Qualitative Study. JMIR Medical Education 2026;12:e84406 View
  3. Shankar R, Devi F, Qian X. A systematic review of the application of computational grounded theory method in healthcare research. Biology Methods and Protocols 2025;10(1) View
  4. Pueschel J, Hao S, Schmitt B. Understanding luxury shaming: a multi-study exploration using qualitative inquiry and generative AI. Journal of Business Research 2026;206:115996 View
  5. He K, Wang C. AI-driven intelligent hazard monitoring for major petroleum projects under the Belt and Road Initiative: construction of an indicator system based on DPGT and RAG-HLLM. Advanced Engineering Informatics 2026;71:104340 View
  6. Statman M, Eisenstein E, Brown M, Sleiman M, Riggins R, Eyl J, Jones-Davis D, Manfred L, Stone D, Scharon C, Harrington L, Dash C, Tercyak K. Outcomes from a STEM Education Program for Elementary School Students in Medically Underserved Areas and Populations. Journal of Cancer Education 2026 View
  7. Schmitt B, Hao S. Immersive Experience: Aligning Service Design and Psychological Engagement. Journal of Service Research 2026;29(2):171 View
  8. Tüm G. The Impact of ChatGPT on Language Assessment in ELT. Sınırsız Eğitim ve Araştırma Dergisi 2026;11(1):1 View
  9. Wang W, Yang Y, Luan Z. The Role of Designers in Human–AI Collaborative Design: Capturing the New Patterns in AI4UX Framework. Design for Augmented Humanity 2026;1(1):31 View
  10. Hall M, Leigh B, Solomon B. The overlooked threat of democratic neutrality in the USA. Nature Human Behaviour 2026;10(5):896 View
  11. Parag Y, Yogev T. Managing uncertainty through middle actors in energy entrepreneurship and innovation: Insights from Israel and the United States. Energy Research & Social Science 2026;135:104653 View
  12. Kempny C, Frings J, Rust P, Meister S, Fehring L. The use and methodological reporting of large language models in qualitative research: a scoping review. BMC Medical Research Methodology 2026;26(1) View
  13. Bai Y, Finkelstein J. Multimodule Human–Artificial Intelligence Collaboration Pipeline for Large Language Model–Assisted Thematic Analysis Across Digital Health Interview Studies: Comparative Evaluation Study. JMIR Medical Informatics 2026;14:e96129 View
  14. Borganov T. The Ethics of Using Artificial Intelligence in Qualitative Research. Inter 2026;18(2):30 View
  15. Dhakal M, Su C, Wallace R, Fakhimi C, Bansal A, Li T, Huang Y, McMillan C. A Grounded Theory Study to Guide AI‐Driven Code Comment Improvement. Journal of Software: Evolution and Process 2026;38(7) View
  16. Schmitt B, Hao S, Pham M, Hofstetter R. Generative grounded theory (GGT): Inductive theory building in the age of generative AI. Journal of Consumer Psychology 2026 View
  17. Dörfel L, Ammoneit R. Evaluation of Inductive Coding with LLMs. Education Sciences 2026;16(8):1314 View
  18. Huang Y, Williams Awodeha N, Rumrill S, Smedema S. Lived Experiences of Addiction Recovery: A Qualitative Investigation and Implications for Rehabilitation Counselors. Rehabilitation Counseling Bulletin 2026 View
  19. Moghadam Manesh M, Beall King A. Exploring Approaches to Conceptualization in System Dynamics Modeling. System Dynamics Review 2026;42(3) View
  20. Aronson I, Quiles R, Cramer A, Fong C, Bennett A. Examining Increased Ritalin and Adderall Use Among Low-Income People Who Use Drugs: Mixed Methods Study. JMIR Formative Research 2026;10:e99947 View
  21. Gierbolini-Rivera R, Franco Silva M, Augusto de Paula da Silva A, Brownson R, Parra D, Kepper M, Eyler A. Generative Artificial Intelligence for Qualitative Methods in Health Research: Rapid Review. Journal of Medical Internet Research 2026;28:e98551 View
  22. Ozaki N, Shikino K, Araki N, Tajima H, Kasai H, Shimizu I, Yamauchi K, Ito S. Using Student-Reported Digital Daily Logs and Human-Verified AI-Assisted Reflection Coding to Describe Clinical Experiences in Community-Based Clerkships: An Exploratory Observational Mixed-Methods Study (Preprint). JMIR Formative Research 2026 View
  23. Butler J, Jones M, Balbin C, Taber P, Del Fiol G, Dalrymple R, Kawamoto K. Sociotechnical analysis of qualitative data using a large language model-assisted framework with performance compared to a human-only coded reference standard. JAMIA Open 2026;9(5) View

Books/Policy Documents

  1. Warnett S, Zdun U. Software Architecture. ECSA 2025 Tracks and Workshops. View
  2. Heo H, Shin Y, Yeoun M. HCI International 2026 Posters. View
  3. . Research and Scholarly Publishing in an AI-Powered Academy. View

Conference Proceedings

  1. Hoi L, Sun Y, Wang R, Duan Y. 2026 6th International Conference on Computer Communication and Artificial Intelligence (CCAI). Feasibility of Locally Deployable LLMs for Open Coding in Grounded Theory: A Pilot Comparison with Human Consensus View