Un effet Gutman en ACP
The recourse to multidimensional methods in the data treatment allows for extracting structures of unidimensional data, when they exist, and one speaks then about Guttman effect. If the disclosure of such an effect is well-known in Correspondences Analysis, it can be also carried out in Principal Co...
שמור ב:
| הוצא לאור ב: | URI:https://journals.openedition.org/msh, |
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| Auteurs principaux: | , |
| פורמט: | Article ou chapitre numérique |
| שפה: | Anglais |
| יצא לאור: |
Mathématiques et sciences humaines
2006
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| נושאים: | |
| גישה מקוונת: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| סיכום: | The recourse to multidimensional methods in the data treatment allows for extracting structures of unidimensional data, when they exist, and one speaks then about Guttman effect. If the disclosure of such an effect is well-known in Correspondences Analysis, it can be also carried out in Principal Component Analysis, as presented here, while studying special properties of this effect (component of size, diagonal component, etc). The study of such a structure offers a very particular intelligibility to the results of research undertaken in the field of the social sciences, as connection with the social representation of homosexuality on the one hand and intelligence in its relationship with gender on the other hand. |
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