2004
DOI: 10.1023/b:soci.0000032341.14612.b8
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Socio-economic Indexes in Surveys for Comparisons between Countries

Abstract: ABSTRACT. The study of socio-economic inequalities from a cross-national perspective has been hampered by the lack of adequate common indices of socioeconomic status that can be used in a self-report survey instrument. This paper examines the construction and the properties of global social indexes in general, and of the Family Affluence Scale (henceforth FAS) in particular. The paper proposes a new strategy for making comparisons of the global index with stratified data, building a revised FAS based on Adapte… Show more

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Cited by 72 publications
(56 citation statements)
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“…CATPCA is a non-parametric version of factor analysis suitable for analysis of categorical (ordinal) variables [25][26][27] . The obtained scores were dichotomised at median or into tertiles.…”
Section: Discussionmentioning
confidence: 99%
“…CATPCA is a non-parametric version of factor analysis suitable for analysis of categorical (ordinal) variables [25][26][27] . The obtained scores were dichotomised at median or into tertiles.…”
Section: Discussionmentioning
confidence: 99%
“…To create the acculturation index, Categorical Principal Components Analysis (CATPCA) was used. CATPCA is a nonparametric version of factor analysis suitable for analysis of categorical (ordinal) variables, it has been recommended for combining information from several variables into a joint index, for example measuring socio-economic status [11][12][13] . In contrast to a simple additive index or classical principal component analysis, which are based on means across groups of cases, CATPCA is based on proportions in the respective categories of the variables 11 .…”
Section: Discussionmentioning
confidence: 99%
“…CATPCA is a nonparametric version of factor analysis suitable for analysis of categorical (ordinal) variables, it has been recommended for combining information from several variables into a joint index, for example measuring socio-economic status [11][12][13] . In contrast to a simple additive index or classical principal component analysis, which are based on means across groups of cases, CATPCA is based on proportions in the respective categories of the variables 11 . Optimal scores are created in order to obtain the highest correlation with the original variable values for each subject and to indicate the position of the respondent on the latent construct 13 .…”
Section: Discussionmentioning
confidence: 99%
“…The validated Family Affluence Scale (FAS) (Batista-Foguet et al 2004) was included in analysis as a measure of family wealth that assesses adolescents' absolute socioeconomic status based on material markers and is related to commonly used indices of material deprivation (Carstairs and Morris 1990) and home affluence (Wardle et al 2002). The FAS II version of the scale was used (Currie et al 2008); it comprised the following survey questions (with coding) : 1) Does your family own a car, van or truck?…”
Section: Variables and Instrumentsmentioning
confidence: 99%