Unlocking Socioeconomic Insights Through Schools’ Geolocation

Abstract: The Socioeconomic Status (SES) of schools is arguably the most widely used contextual variable in educational research. Traditional approaches for gathering school SES information have frequently relied upon numerous items – some of which are open-ended – imposing a significant burden on both informants and researchers. To address this concern, this article proposes an efficient approach to leveraging socioeconomic information by employing a geolocation-based methodology. Through the examination of a Spanish PISA 2018 dataset, we illustrate that utilizing schools’ geolocation proves to be a time-efficient mechanism for gathering school-level socioeconomic information. This article delves into the methodological and practical implications arising from these findings.

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Publication Details

Journal
European Journal of Psychological Assessment
Published
2025-05-22
DOI
https://doi.org/10.1027/1015-5759/a000901
Primary Topic
Indigenous and Place-Based Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Unlocking Socioeconomic Insights Through Schools’ Geolocation

Alfredo Rodríguez‐Muñoz, Mirko Antino, Mariacarla Martí-González, Alejandro Díaz-Guerra Romero
European Journal of Psychological Assessment
Indigenous and Place-Based Education
article

Unlocking Socioeconomic Insights Through Schools’ Geolocation

Alfredo Rodríguez‐Muñoz, Mirko Antino, Mariacarla Martí-González, Alejandro Díaz-Guerra Romero
article en

Abstract

Abstract: The Socioeconomic Status (SES) of schools is arguably the most widely used contextual variable in educational research. Traditional approaches for gathering school SES information have frequently relied upon numerous items – some of which are open-ended – imposing a significant burden on both informants and researchers. To address this concern, this article proposes an efficient approach to leveraging socioeconomic information by employing a geolocation-based methodology. Through the examination of a Spanish PISA 2018 dataset, we illustrate that utilizing schools’ geolocation proves to be a time-efficient mechanism for gathering school-level socioeconomic information. This article delves into the methodological and practical implications arising from these findings.

European Journal of Psychological Assessment
Universidad Complutense de Madrid (ES)
Openalex Percentile: Top 88%
Indigenous and Place-Based Education
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