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La quantification des données qualitatives : intérêts et difficultés en sciences de gestion

Author

Listed:
  • Isabelle Royer

    (MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

  • Lionel Garreau

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Thomas Roulet

    (Judge Business School - CAM - University of Cambridge [UK])

Abstract

Dans cet article introductif du numéro spécial sur la quantification des données qualitatives, nous présentons l'intérêt et l'ampleur du sujet pour le champ des sciences de gestion. Quantifier implique l'association de valeurs numériques – via la mesure ou le comptage – à des jeux de données pour lesquels ces valeurs ne sont pas évidentes – comme par exemple du texte ou des images. En premier lieu nous explorons les raisons qui justifient la quantification des données qualitatives. La transparence et la possibilité de comparer les jeux de données de manière formelle figurent parmi les principaux avantages de la quantification. La crédibilité et la facilité de communication en sont d'autres. Nous discutons ensuite des précautions à prendre. En particulier, il est important de sélectionner avec attention le matériau à quantifier, et de réfléchir à la production des valeurs numériques. Enfin nous notons la responsabilité du chercheur et le recul nécessaire pour une quantification rigoureuse.

Suggested Citation

  • Isabelle Royer & Lionel Garreau & Thomas Roulet, 2019. "La quantification des données qualitatives : intérêts et difficultés en sciences de gestion," Post-Print hal-02303982, HAL.
    • Handle: RePEc:hal:journl:hal-02303982
    DOI: 10.4000/fcs.3312
    Note: View the original document on HAL open archive server: https://hal.science/hal-02303982v1
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    References listed on IDEAS

    as
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