PISA data clusters reveal student and school inequality that affects results.
The data from the PISA survey show that student performance correlates with socio-economic background, that private schools have higher results and more privileged students, and that this varies between countries. We explore this further and analyze the PISA data using methods from network theory an...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0267040 |
| _version_ | 1811290157197819904 |
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| author | Magnus Neuman |
| author_facet | Magnus Neuman |
| author_sort | Magnus Neuman |
| collection | DOAJ |
| description | The data from the PISA survey show that student performance correlates with socio-economic background, that private schools have higher results and more privileged students, and that this varies between countries. We explore this further and analyze the PISA data using methods from network theory and find clusters of countries whose students have similar performance and socio-economic background. Interestingly, we find a cluster of countries, including China, Spain and Portugal, characterized by less privileged students performing well. When considering private schools only, some countries, such as Portugal and Brazil, are in a cluster with mostly wealthy countries characterized by privileged students. Swedish grades are compared to PISA results, and we see that the higher grades in private schools are in line with the PISA results, suggesting that there is no grade inflation in this case, but differences in socio-economic background suggest that this is due to school segregation. |
| first_indexed | 2024-04-13T04:06:49Z |
| format | Article |
| id | doaj.art-a7fe6d314f7d43d9b5667310e38c04e7 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T04:06:49Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a7fe6d314f7d43d9b5667310e38c04e72022-12-22T03:03:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01175e026704010.1371/journal.pone.0267040PISA data clusters reveal student and school inequality that affects results.Magnus NeumanThe data from the PISA survey show that student performance correlates with socio-economic background, that private schools have higher results and more privileged students, and that this varies between countries. We explore this further and analyze the PISA data using methods from network theory and find clusters of countries whose students have similar performance and socio-economic background. Interestingly, we find a cluster of countries, including China, Spain and Portugal, characterized by less privileged students performing well. When considering private schools only, some countries, such as Portugal and Brazil, are in a cluster with mostly wealthy countries characterized by privileged students. Swedish grades are compared to PISA results, and we see that the higher grades in private schools are in line with the PISA results, suggesting that there is no grade inflation in this case, but differences in socio-economic background suggest that this is due to school segregation.https://doi.org/10.1371/journal.pone.0267040 |
| spellingShingle | Magnus Neuman PISA data clusters reveal student and school inequality that affects results. PLoS ONE |
| title | PISA data clusters reveal student and school inequality that affects results. |
| title_full | PISA data clusters reveal student and school inequality that affects results. |
| title_fullStr | PISA data clusters reveal student and school inequality that affects results. |
| title_full_unstemmed | PISA data clusters reveal student and school inequality that affects results. |
| title_short | PISA data clusters reveal student and school inequality that affects results. |
| title_sort | pisa data clusters reveal student and school inequality that affects results |
| url | https://doi.org/10.1371/journal.pone.0267040 |
| work_keys_str_mv | AT magnusneuman pisadataclustersrevealstudentandschoolinequalitythataffectsresults |