Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis
Rapid advances in artificial intelligence (AI) technologies, especially in consumer-available large language models (LLMs), have spurred efforts to automate qualitative data analysis. For researchers new to qualitative research, existing work rarely explains how research values and the different app...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-06-01
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| Series: | International Journal of Qualitative Methods |
| Online Access: | https://doi.org/10.1177/16094069251354863 |
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| author | Mitchell Nicmanis Harry Spurrier |
| author_facet | Mitchell Nicmanis Harry Spurrier |
| author_sort | Mitchell Nicmanis |
| collection | DOAJ |
| description | Rapid advances in artificial intelligence (AI) technologies, especially in consumer-available large language models (LLMs), have spurred efforts to automate qualitative data analysis. For researchers new to qualitative research, existing work rarely explains how research values and the different approaches to qualitative research shape AI-assisted data analysis methods. We aim to open a discussion about the role of qualitative research values and approaches in AI-assisted data analysis and how this may shape the application of these methods. We begin by outlining the two approaches to qualitative research in the literature (“Small-q” and “Big-Q”) and how these guide the alignment between research values and the use of methods. We then highlight the relevance of these approaches for developing AI-assisted analysis methods by reviewing seminal work that uses LLMs for qualitative analysis. Building on the two approaches to qualitative research, we propose an approach-based model that can be used to understand the alignment between the values of qualitative research and the use of methods. Additionally, we position AI within this model and propose questions to help understand AI-assisted analysis within these approaches. Next, using exploratory examples, we underscore the importance of these considerations by highlighting how alignment with the different approaches and their values may shape the application of AI in assisting reflexive content analysis. These examples are not intended as definitive guides; rather, they illustrate the influence of aligning with each approach. Thus, to support researchers interested in applying these AI-assisted analysis methods in practice, we provide references to further literature. To conclude, we present a summary of ethical considerations and future directions. While AI-assisted analysis will not be suitable for all qualitative research, this paper initiates a discussion about the theoretical challenges of applying AI technologies in qualitative analysis and demonstrates how these considerations change the use of AI-assisted analysis. |
| format | Article |
| id | doaj-art-d3db28835e234f88ae5568f3dedfefa0 |
| institution | Kabale University |
| issn | 1609-4069 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Qualitative Methods |
| spelling | doaj-art-d3db28835e234f88ae5568f3dedfefa02025-08-20T03:32:54ZengSAGE PublishingInternational Journal of Qualitative Methods1609-40692025-06-012410.1177/16094069251354863Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content AnalysisMitchell NicmanisHarry SpurrierRapid advances in artificial intelligence (AI) technologies, especially in consumer-available large language models (LLMs), have spurred efforts to automate qualitative data analysis. For researchers new to qualitative research, existing work rarely explains how research values and the different approaches to qualitative research shape AI-assisted data analysis methods. We aim to open a discussion about the role of qualitative research values and approaches in AI-assisted data analysis and how this may shape the application of these methods. We begin by outlining the two approaches to qualitative research in the literature (“Small-q” and “Big-Q”) and how these guide the alignment between research values and the use of methods. We then highlight the relevance of these approaches for developing AI-assisted analysis methods by reviewing seminal work that uses LLMs for qualitative analysis. Building on the two approaches to qualitative research, we propose an approach-based model that can be used to understand the alignment between the values of qualitative research and the use of methods. Additionally, we position AI within this model and propose questions to help understand AI-assisted analysis within these approaches. Next, using exploratory examples, we underscore the importance of these considerations by highlighting how alignment with the different approaches and their values may shape the application of AI in assisting reflexive content analysis. These examples are not intended as definitive guides; rather, they illustrate the influence of aligning with each approach. Thus, to support researchers interested in applying these AI-assisted analysis methods in practice, we provide references to further literature. To conclude, we present a summary of ethical considerations and future directions. While AI-assisted analysis will not be suitable for all qualitative research, this paper initiates a discussion about the theoretical challenges of applying AI technologies in qualitative analysis and demonstrates how these considerations change the use of AI-assisted analysis.https://doi.org/10.1177/16094069251354863 |
| spellingShingle | Mitchell Nicmanis Harry Spurrier Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis International Journal of Qualitative Methods |
| title | Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis |
| title_full | Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis |
| title_fullStr | Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis |
| title_full_unstemmed | Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis |
| title_short | Getting Started with Artificial Intelligence Assisted Qualitative Analysis: An Introductory Guide to Qualitative Research Approaches with Exploratory Examples from Reflexive Content Analysis |
| title_sort | getting started with artificial intelligence assisted qualitative analysis an introductory guide to qualitative research approaches with exploratory examples from reflexive content analysis |
| url | https://doi.org/10.1177/16094069251354863 |
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