Spatial analysis of the socio-educational association with delay and school dropout in regular primary education by department, Peru 2016 to 2021
Descripción del Articulo
Basic Education in Peru is key factor for the development of the country. The Primary Education indicators published by the Institute of Statistics and Informatics (INEI) reveals the need for further research. Although there are various studies regarding primary education, they have not been as exha...
Autores: | , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2023 |
Institución: | Universidad Nacional de Ingeniería |
Repositorio: | Revistas - Universidad Nacional de Ingeniería |
Lenguaje: | español |
OAI Identifier: | oai:oai:revistas.uni.edu.pe:article/1972 |
Enlace del recurso: | https://revistas.uni.edu.pe/index.php/iecos/article/view/1972 |
Nivel de acceso: | acceso abierto |
Materia: | Autocorrelación espacial socioeducativa Índice de Morán univariado Índice de Morán Bivariado atraso escolar primaria deserción interanual escolar primaria Agrupamiento por Geary Socio-educational spatial autocorrelation Univariate Morán Index Bivariate Morán Index primary school inter-annual dropout primary school backwardness Geary Clustering |
Sumario: | Basic Education in Peru is key factor for the development of the country. The Primary Education indicators published by the Institute of Statistics and Informatics (INEI) reveals the need for further research. Although there are various studies regarding primary education, they have not been as exhaustive as expected. For each level of basic education, the real-life situations are different, one of these levels is primary education, which the majority of Peruvians access. The objective is to establish the spatial socio-educational association of backwardness and school dropout. A data frame, called dataframe, was built with the Educational Quality Statistics (ESCALE) of the Ministry of Education (MINEDU) of Peru. In addition to spatial descriptive analysis, spatial auto-correlation at the Departmental level of backwardness and school dropout was verified, moreover, the factors chronic childhood malnutrition, children and adolescents who work and students with mothers with completed higher education are spatially associated with the backwardness and school dropout. This association was confirmed through the Weighted Spatial Regression model. |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).