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...

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Detalles Bibliográficos
Autores: Infante Rojas, Magen Danielle, Mayorca Tinoco , Augusto, Aspajo Quiñonez, Wilmer Wilson, Quispe Bejar, Miliani Stephany, Huamani Llactahuaman, Ruth Samanta, Malaga Espinoza, Cristopher Norman
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
Descripción
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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