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Abstract
The evolving nature of research and the integration of new technologies, such as Artificial Intelligence (AI), introduce new challenges and threats, necessitating a re-examination of the key criteria of reliability and validity. In this paper, I revisit these concepts in the context of qualitative research, highlighting their evolving meanings and significance. I begin by defining reliability and validity and explaining their importance. Following this, I discuss strategies for establishing these criteria within qualitative studies and offer guidelines for maintaining rigor in the current research landscape. While emphasizing the need for human oversight, intervention, and interpretation, I underscore how to ensure trustworthiness in qualitative research outcomes amidst technological advancements.
Keywords
reliability, validity, technology, artificial intelligence, AI
Acknowledgements
While acknowledging the role of AI in research (as noted in Christou, 2023b), I declare that I have consulted programs and tools that utilize AI technology, such as NVivo and MAXQDA, to gain a deeper understanding of AI's application in research, and I used a natural language processing tool (ChatGPT) for minor editing purposes.
Publication Date
3-26-2025
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.
DOI
10.46743/2160-3715/2025.7523
Recommended APA Citation
Christou, P. A. (2025). Reliability and validity in qualitative research revisited and the role of AI. The Qualitative Report, 30(3), 3306-3314. https://doi.org/10.46743/2160-3715/2025.7523
ORCID ID
https://orcid.org/my-orcid?orcid=0000-0001-6628-2619
Included in
Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, Social Statistics Commons