Analysis of the factors associated with school achievement. Application of the multiple-level technique
DOI:
https://doi.org/10.21703/rexe.v1i1.284Keywords:
School achievement, SIMCE exams, Multiple-level Statistical analysis, Achievement factorsAbstract
This article describes and explains, through a correlational type analysis, the effects of a series of factors associated with the results obtained by eighth grade students who took the 1997 Mathematics and Spanish SIMCE exams.
The technique used in the statistical analysis was that of the multiple-level technique. This technique is used for analyzing variations in the characteristics of individuals who are both members of a specific group and part of a hierarchical structure as our educational system is organized: a student is part of a class, which, at the same time, is part of a school.
Each student differs from his peers as he gets a specific result, but he can also share homogeneously other distinctive characteristics of his class or school. It is, therefore, possible to suppose that students from a particular school differ from other schools’ students with respect to certain characteristics.
It is then not only convenient to study school achievement variations at individual level, but also at group level.
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