Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/147790
Título : Proposing the “MIRACLE” Narrative Framework for Providing Thick Description in Qualitative Research
Autoría: Younas, Ahtisham  
Fàbregues, Sergi  
DURANTE, ANGELA  
Escalante, Elsa  
Inayat, Shahzad
Ali, Parveen  
Otros: Memorial University of Newfoundland
Universitat Oberta de Catalunya. Estudis de Psicologia i Ciències de l'Educació
Universidad de la Rioja
Universidad del Norte
Isra University
University of Sheffield
Citación : Younas, A., Fàbregues, S., Durante, A., Escalante, E. L., Inayat, S., & Ali, P. (2023). Proposing the “MIRACLE” Narrative Framework for Providing Thick Description in Qualitative Research. International Journal of Qualitative Methods, 22. https://doi.org/10.1177/16094069221147162
Resumen : Thick description of qualitative findings is critical to improving the transferability of qualitative research findings as it allows researchers to assess their applicability to other contexts and settings. However, what thick description entails and how it should be carried out is often missing or insufficiently described. While expert qualitative researchers may be familiar with the concept, the wide variety of meanings and interpretations of thick description in the literature may make it difficult for novice qualitative researchers to understand this concept when reporting qualitative findings. The purpose of this paper is to propose the “MIRACLE” narrative framework for providing thick description in qualitative research. We developed this framework based on a critical review of theoretical literature about thick description and writing in qualitative research, as well as our personal experiences conducting, writing, and publishing qualitative studies. The proposed framework can be valuable for improving the reporting quality and transferability of qualitative research findings.
Palabras clave : métodos en la investigación cualitativa
caso de estudio
etnografía
descripción interpretativa
narrativa
DOI: https://doi.org/10.1177/16094069221147162
Tipo de documento: info:eu-repo/semantics/article
Versión del documento: info:eu-repo/semantics/publishedVersion
Fecha de publicación : 17-feb-2023
Licencia de publicación: https://creativecommons.org/licenses/by-nc/4.0/  
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