While the health promoting influences of social networks have been shown in a number of studies, little attention has been paid to measurement issues within the field of epidemiology.
The purpose of this paper is to propose a new set of measures of social networks for use in epidemiological research on the elderly.
We use confirmatory factor analysis to test a multidimensional model of social networks using data from a large epidemiologic study of community-dwelling adults age 65 and over (U.S.A.). Confirmatory factor analysis conducted using LISREL showed that our model provides a good fit to the data after several adjustments for correlated measurement error were introduced.
Based on this analysis, we developed new measures of four dimensions and a summary index of social networks.
Bivariate relationships between our new measures and several sociodemographic variables of interest are also presented.
Mots-clés Pascal : Epidémiologie, Méthode mesure, Réseau social, Vieillard, Homme, Santé, Analyse factorielle confirmatoire, Modèle n dimensions, Modèle statistique
Mots-clés Pascal anglais : Epidemiology, Measurement method, Social network, Elderly, Human, Health, Confirmatory factor analysis, Multidimensional model, Statistical model
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0307207
Code Inist : 002B30A01A1. Création : 15/07/1997.