Sélection de variables pour la construction d'indicateurs de qualité de vie pour des données structurées en groupes

CHAVENT, Marie; KUENTZ-SIMONET, Vanessa; LABENNE, Amaury; SARACCO, Jérôme

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CHAVENT, Marie
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]

KUENTZ-SIMONET, Vanessa
Aménités et dynamiques des espaces ruraux [UR ADBX]

LABENNE, Amaury
Aménités et dynamiques des espaces ruraux [UR ADBX]

Langue

Communication dans un congrès

Ce document a été publié dans

21st International Conference on Computational Statistics (COMPSTAT), 2014-08-19, Geneva. 2014p. 31

Résumé en anglais

The analysis and measurement of quality of life may be made via two complementary approaches. The first one, based on survey of individuals, concerns the analysis of levels of life satisfaction. We focus here on the second one, based on national data, which analyses living conditions of people. The aim is to create composite indices of living conditions.According to authors, the components of quality of life are related to different themes (groups of variables): ``Family conditions", ``Employment", ``Housing",... For this purpose, dimension reduction methods are particularly suitable.Multiple Factor Analysis (MFA) is a method designed to handle data structured into groups of quantitative variables. In our study, each theme is composed of a group of quantitative and/or categorical variables. Since our data are naturally structured in groups of variables, we develop an extension of MFA for mixed data type, called MFAmix. Thus the principal components from MFAmix are our composite indices for measuring quality of life. However, the creation of these indices raises two questions. How many principal components keep to create indices? How select a limited number of variables to get similar indices for easier interpretation? We propose answers to these questions in this communication.< Réduire

Mots clés en anglais

factor analysis

dimension reduction

quality of life

mixed data type

URI

https://oskar-bordeaux.fr/handle/20.500.12278/194523

Project ANR

Adaptation aux variations des régimes hydrologiques (crues-étiages) dans l'Environnement Fluvio-Estuarien de la Garonne-Gironde. Potentialités, mise à l'épreuve et gouvernance d'Options d'Adaptation - ANR-11-CEPL-0008

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Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251

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