M. Sánchez Ronco, S. Olivera, A. Grané

Student’s social, personal and environmental factors of PISA 2022 are examined as possible factors affecting academic performance. Six thematic indicators are designed from more than seventy mixed variables measured on more than 265,500 respondents from 60 countries and economies, focusing on: absence at school, exposure to bullying, isolation, learning obstacles, household material deprivation and out-of-school responsibilities. Next, these indicators are combined with economic background, socio-demographics, school human and material resources to cluster students using the k-medoids algorithm for weighted data with a robust generalized Gower distance. Finally, academic results are compared between clusters. Results show the characteristics of four different student profiles, with one being disadvantaged with lower academic results but higher life satisfaction and as opposite to this, another different profile achieving the highest academic results but low-satisfied with their lives.

Keywords: Clustering, indicators, k-medoids, PISA 2022, robust G-Gower distance

Scheduled

GT AMyC I: Advances in Distance-Based Methods
September 4, 2026  9:00 AM
Aula 28


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