Exploring collaborative practices in qualitative analysis: The case of GTM - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Exploring collaborative practices in qualitative analysis: The case of GTM

Margaux Coeuret

Résumé

This doctoral research project aims to study the collaborative practices of social scientists who use Grounded Theory Methodology (GTM). The main objective is to analyze how these researchers organize their collaboration within the analysis process of GTM. The study will first review the literature to understand the evolution of cooperation within GTM, which includes cooperative data collection, joint theorizing, and peer validation. A field study will then focus on social scientists at the University of Liège, including observations, interviews, and scenarios. This fieldwork will be enriched by including design sciences researchers from the Université de Technologie de Troyes. In the final phase of this research, the potential of artificial intelligence and data visualization in survey assistance, case clustering, and theorizing will be explored. To overcome the current limitations of CAQDAS software, a proposal for a collaboration tool aligned with GTM practices will be put forward. This research will contribute to a deeper understanding of researchers’ GTM collaboration practices and tools.
Fichier principal
Vignette du fichier
ecscw2024_dc05.pdf (273.51 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04600550 , version 1 (04-06-2024)

Licence

Copyright (Tous droits réservés)

Identifiants

Citer

Margaux Coeuret. Exploring collaborative practices in qualitative analysis: The case of GTM. Proceedings of the 22nd European Conference on Computer-Supported Cooperative Work: The International Venue on Practice-centered Computing on the Design of Cooperation Technologies – Doctoral Colloquium Contributions., ECSCW, Jun 2024, Rimini, Italie, Italy. ⟨10.48340/ecscw2024_dc05⟩. ⟨hal-04600550⟩
307 Consultations
77 Téléchargements

Altmetric

Partager

More