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Communication dans un congrès

Analysing conversational data with computer-aided content analysis: the importance of data partitioning

Abstract :

This article highlights the distinctive outcomes generated by different approaches to computer-aided content analysis, and discusses how partition decisions reveal or conceal possible data interpretations. Drawing on data collected from focus groups set up during a European research study, we demonstrate how the chosen encoding technique leads to different views of the same texts, regardless of the software chosen. This analysis produces a user’s guide for researchers who need to analyze conversations and concludes with a discussion of the implications for management and organization research.

Type de document :
Communication dans un congrès
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https://hal.univ-angers.fr/hal-03108639
Contributeur : Okina Université d'Angers <>
Soumis le : mercredi 13 janvier 2021 - 12:25:57
Dernière modification le : vendredi 5 février 2021 - 03:36:50

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  • HAL Id : hal-03108639, version 1
  • OKINA : ua13064

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Citation

Dominique Peyrat-Guillard, Caroline Miltgen, S. Welcomer. Analysing conversational data with computer-aided content analysis: the importance of data partitioning. Journées Internationales d'Analyse des Données Textuelles, 2014, Paris, France. ⟨hal-03108639⟩

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