IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00288556.html
   My bibliography  Save this paper

La conjonction Analyse de Données et Statistique inférentielle pour conduire à une meilleure perception visuelle

Author

Listed:
  • Monique Le Guen

    (IOF - Institut Orléanais de Finance - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

  • Corinne Jaffeux

    (IOF - Institut Orléanais de Finance - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

Abstract

The Mathematical Analysis of Data in the Social Sciences is often divided into two different schools.On the one hand there are the adepts of Classical Statistics (Tests of hypotheses, Analyse of variance, Linear models etc.). On the other hand there is Modern Data Analysis (Factorial Analysis, Cluster Analysis...).This paper attempts to show that it is possible, by means, of a particular analytical approach, to use both Data Analysis and Classical Statistics in order to offer a Visual Representation accessible to all social Scientist Researchers and to contribute to Understanding of Social Phenomena.

Suggested Citation

  • Monique Le Guen & Corinne Jaffeux, 1989. "La conjonction Analyse de Données et Statistique inférentielle pour conduire à une meilleure perception visuelle," Post-Print halshs-00288556, HAL.
    • Handle: RePEc:hal:journl:halshs-00288556
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cécile Cézanne, 2010. "Un modèle renouvelé de gouvernance d'entreprise : une évaluation empirique sur données françaises," Revue d'économie politique, Dalloz, vol. 120(4), pages 669-700.
    2. Monique Le Guen, 1995. "Statistique, Imagerie et Sciences Cognitives," Post-Print halshs-00288109, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00288556. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.