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dc.publisher.countryNLes
dc.contributor.authorFlores-Mendoza, Carmenes
dc.contributor.authorMansur-Alves, Marcelaes
dc.contributor.authorArdila, Rubénes
dc.contributor.authorRosas, Ricardo D.es
dc.contributor.authorGuerrero-Leiva, Maria Karlaes
dc.contributor.authorLucio y Gómez Maqueo, María Emiliaes
dc.contributor.authorGallegos, Migueles
dc.contributor.authorReategui Colareta, Normaes
dc.contributor.authorBurga León, Andréses
dc.date.accessioned2025-06-24T20:03:24Zes
dc.date.available2025-06-24T20:03:24Zes
dc.date.issued2015-04es
dc.identifier.urihttps://hdl.handle.net/20.500.12799/11502es
dc.description.abstractAs part of the project, “Study of the Latin-American Intelligence” (SLATINT), this study was conducted in six Latin American cities (Rosario-Argentina, Belo Horizonte-Brazil, Santiago-Chile, Bogota-Colombia, Mexico City-Mexico and Lima-Peru) and one European city (Madrid-Spain). The goal was to verify the effect of school performance on fluid intelligence and vice versa after controlling the socioeconomic variables. Students (N = 3724) between the ages of 14 and 15 years (51% females) that were enrolled in 66 schools from different socioeconomic levels, participated in this study. The Raven Standard Progressive Matrices test (SPM, fluid intelligence measure), the 2003 PISA test (school performance measure) and a short socioeconomic questionnaire were administered. Diverse multilevel analyses were conducted. The results were: 1) a positive relationship between PISA and SPM, although a stronger correlation was observed as aggregated (r = .89), rather than individual scores (r = .58) were used; 2) after controlling social variables, the PISA scores could vary up to 7.79 times due to variation in SPM scores; 3) after controlling social variables, the SPM scores could vary up to 1.4 due to variation in PISA scores; 4) the socioeconomic status of schools exerted a greater influence on PISA scores than on SPM scores; and 5) there was a variability among schools regarding school performance (35.2%) and intelligence (6.3%) which was not explained by the covariates and random effects. The impact of these results for education policies is discussed.es
dc.formatapplication/pdfes
dc.language.isospaes
dc.publisherElsevieres
dc.relation.ispartofIntelligencees
dc.rightsinfo:eu-repo/semantics/closedAccesses
dc.subjectRendimiento escolares
dc.subjectInteligenciaes
dc.subjectPrueba de Matrices Progresivas Estándar de Ravenes
dc.subjectEvaluación PISAes
dc.subjectEvaluaciones internacionaleses
dc.subjectIndicadores socioeconómicoses
dc.subjectArgentinaes
dc.subjectBrasiles
dc.subjectChilees
dc.subjectColombiaes
dc.subjectMéxicoes
dc.subjectPerúes
dc.titleFluid intelligence and school performance and its relationship with social variables in Latin American sampleses
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doihttps://doi.org/10.1016/j.intell.2014.12.005es
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#5.03.01es


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