L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites
This paper introduces the theoretical basis of the loglinear methods, as a substitute to analysis of variance when variables are categorical, and logit, as a substitute to regression analysis in the same context. Their specific advantage is to allow the modelling of categorical, thus qualitative dat...
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Format: | Article |
Language: | deu |
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Unité Mixte de Recherche 8504 Géographie-cités
2003-01-01
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Series: | Cybergeo |
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Online Access: | https://journals.openedition.org/cybergeo/3481 |
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author | Estelle Kah Michel Pruvot |
author_facet | Estelle Kah Michel Pruvot |
author_sort | Estelle Kah |
collection | DOAJ |
description | This paper introduces the theoretical basis of the loglinear methods, as a substitute to analysis of variance when variables are categorical, and logit, as a substitute to regression analysis in the same context. Their specific advantage is to allow the modelling of categorical, thus qualitative data, often collected from surveys, while keeping their probabilistic nature. The stress is put on the concepts of interaction and odds ratio which allow to unveil complex phenomena with nonlinear relations. |
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format | Article |
id | doaj.art-f2ed7143edf646eab8c21e9824c39e89 |
institution | Directory Open Access Journal |
issn | 1278-3366 |
language | deu |
last_indexed | 2024-04-24T13:30:37Z |
publishDate | 2003-01-01 |
publisher | Unité Mixte de Recherche 8504 Géographie-cités |
record_format | Article |
series | Cybergeo |
spelling | doaj.art-f2ed7143edf646eab8c21e9824c39e892024-04-04T09:32:39ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662003-01-0110.4000/cybergeo.3481L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limitesEstelle KahMichel PruvotThis paper introduces the theoretical basis of the loglinear methods, as a substitute to analysis of variance when variables are categorical, and logit, as a substitute to regression analysis in the same context. Their specific advantage is to allow the modelling of categorical, thus qualitative data, often collected from surveys, while keeping their probabilistic nature. The stress is put on the concepts of interaction and odds ratio which allow to unveil complex phenomena with nonlinear relations.https://journals.openedition.org/cybergeo/3481interactionlogistic modelloglinearodds ratioqualitative data |
spellingShingle | Estelle Kah Michel Pruvot L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites Cybergeo interaction logistic model loglinear odds ratio qualitative data |
title | L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites |
title_full | L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites |
title_fullStr | L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites |
title_full_unstemmed | L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites |
title_short | L'analyse log-linéaire de tableaux de contingence et le modèle logit I : principe, usage, intérêt et limites |
title_sort | l analyse log lineaire de tableaux de contingence et le modele logit i principe usage interet et limites |
topic | interaction logistic model loglinear odds ratio qualitative data |
url | https://journals.openedition.org/cybergeo/3481 |
work_keys_str_mv | AT estellekah lanalyseloglineairedetableauxdecontingenceetlemodelelogitiprincipeusageinteretetlimites AT michelpruvot lanalyseloglineairedetableauxdecontingenceetlemodelelogitiprincipeusageinteretetlimites |