A Model for a Structural Equation by Which to Evaluate the Relationships Between Students’ Cultural and Economic Status and their Educational Achievement

Because of its importance, socioeconomic status has been defined using different indicators, which establishes the benefit of separating the various effects that economic, social and cultural aspects have on students’ learning. This study evaluates the different effects that economic, social and cul...

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Detalles Bibliográficos
Autores: Hernández Padilla, Eduardo, González Montesinos, Manuel Jorge
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2011
País:México
Institución:UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA
Repositorio:Revista Electrónica de Investigacion Educativa
Idioma:español
OAI Identifier:oai:ojs.redie.uabc.mx:article/290
Acceso en línea:https://redie.uabc.mx/redie/article/view/290
Access Level:acceso abierto
Palabra clave:Structural equations models
structural models
social level
cultural status.
Modelos de ecuaciones estructurales
modelos estructurales
nivel socioeconómico
nivel sociocultural.
Descripción
Sumario:Because of its importance, socioeconomic status has been defined using different indicators, which establishes the benefit of separating the various effects that economic, social and cultural aspects have on students’ learning. This study evaluates the different effects that economic, social and cultural factors have on scholastic achievement. The data analyzed come from the Quality and Scholastic Achievement Tests given to third-level preschool students (Excale-00) in the 2006-2007 school year. Through the modeling of structural equations, the theoretical relationships among a group of 15 indicators and three latent variables were analyzed, as well as each factor’s contribution to scholastic achievement. Both factors have a positive association with learning, although the cultural factor has more influence than economic. The model suggested includes only a few indicators of both factors; further research should consider evaluating more indicators, and including other latent variables in the model.