Visualizing Large-Scale Assessments in Mathematics through Dimensionality Reduction
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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.
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