Análisis espacial con enfoque bayesiano sobre los resultados de las pruebas ICFES – Saber 11 periodo 2020-2

Abstract

The document presents an investigation based on the results obtained by the students in the ICFES Saber 11 tests, of the second semester of the year 2020. Such data is analyzed from a perspective of spatial statistics with a Bayesian approach applying the computational methodology called Nested Laplace Approximation. Integrated (INLA). It is intended to study the influence of how factors associated with the living conditions of students, connectivity and corruption conditions influence the results of the tests. The results obtained show an unfavorable impact on the NBI index of critically overcrowded homes, and with a favorable effect on fixed internet coverage and the index of monitoring and follow-up of corruption risks. It is still necessary to take this result into account as a source of information in the formulation of public policy, given its external component to educational establishments and pedagogical methodologies; which leads to the fact that the improvement in the results of the Saber 11 tests is a cross-cutting issue in various government sectors.