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Rehability and vahdity in Quahtative Research Revisited and the Role of AI

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Publicado en:The Qualitative Report vol. 30, no. 3 (Mar 2025), p. 3306
Autor principal: Christou, Prokopis A
Publicado:
The Qualitative Report
Materias:
Research methodology
Validity
Artificial intelligence
Research
Data collection
False information
Ethics
Qualitative research
Influence of Technology
Researchers
Language Processing
Credibility
Acceso en línea:Citation/Abstract
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Resumen:The evolving nature of research and the integration of new technologies, such as Artificial Intelligence (AI), introducé 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 quahtative 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 quahtative 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 quahtative research outcomes amidst technological advancements.
ISSN:1052-0147
2160-3715
DOI:10.46743/2160-3715/2025.7523
Fuente:Sociology Database