STATISTICAL TREATMENT OF FREE SORTING DATA: A BRIEF REVIEW OF METHODS AND A NEW ASSOCIATION MODEL

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STATISTICAL TREATMENT OF FREE SORTING DATA: A BRIEF REVIEW OF METHODS AND A NEW ASSOCIATION MODEL

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Edité par CCSD ; Associazione per la Statistica Applicata -

International audience. Several statistical procedures, mainly pertaining to multidimensional scaling, multiple correspondence analysis and cluster analysis, have been proposed for the analysis of data from a free sorting procedure. A brief review of these methods is sketched and a statistical model to assess the association between products is discussed. Among other possibilities, these models make it possible to set up a hypothesis testing framework to assess the significance of the effect of external factors on free sorting data. It is also performed in conjunction with a latent class strategy to identify segments of consumers and better highlight the relationships among the products. An illustration on the basis of a case study is outlined.

Langue: en

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