Visualizing Large-Scale Assessments in Mathematics through Dimensionality Reduction

03/04/2020

∙

by   Esdras Medeiros, et al.

∙

0

∙

share

In this paper, we apply the Logistic PCA (LPCA) as a dimensionality reduction tool for visualizing patterns and characterizing the relevance of mathematics abilities from a given population measured by a large-scale assessment. Particularly, we analyse the data collected from SPAECE, a large-scale assessment in mathematics that has been applied yearly in the public educational system of the state of Ceará, Brazil.