Comparing socio-economic measures as predictors of educational attainment.
Objectives and Approach Free School Meals (FSM) has commonly been used as a proxy for economic disadvantage or low socio-economic background within educational research in the UK, as eligibility is based upon receipt of government welfare benefits. It is also used by government in funding decisions...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Swansea University
2022-08-01
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| Series: | International Journal of Population Data Science |
| Subjects: | |
| Online Access: | https://ijpds.org/article/view/1988 |
| _version_ | 1797430696554266624 |
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| author | Katy Huxley Rhys Davies Catherine Foster Chris Taylor |
| author_facet | Katy Huxley Rhys Davies Catherine Foster Chris Taylor |
| author_sort | Katy Huxley |
| collection | DOAJ |
| description | Objectives and Approach
Free School Meals (FSM) has commonly been used as a proxy for economic disadvantage or low socio-economic background within educational research in the UK, as eligibility is based upon receipt of government welfare benefits. It is also used by government in funding decisions for schools. However, in December 2021 the Welsh Government announced that the offer of FSM will be expanded to all pupils in primary schools, meaning that this measure will no longer be available as a proxy. Our objective is therefore to considers the potential of other administrative sources of socio-economic information to fill this gap. Linking administrative education data and Census 2011 data for Wales, we undertook descriptive and regression analyses to consider how Census measures of deprivation act compared to the FSM measure in predicting attainment.
Results
Our descriptive results show that not all pupils who are eligible for FSM are captured by the Census measures. However, our regression results indicate that socio-economic indicators from the Census – namely highest household qualification, approximated social grade and economic inactivity – all behave in a similar fashion to that of the proxy measure, FSM in association with pupil attainment.
Conclusion
We consider results in comparison to studies using survey data, and discuss implications for the future measurement of economic disadvantage in Wales among primary school pupils.
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| first_indexed | 2024-03-09T09:31:17Z |
| format | Article |
| id | doaj.art-c7103f9daa29410da4e30285b854dc48 |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:31:17Z |
| publishDate | 2022-08-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-c7103f9daa29410da4e30285b854dc482023-12-02T03:52:13ZengSwansea UniversityInternational Journal of Population Data Science2399-49082022-08-017310.23889/ijpds.v7i3.1988Comparing socio-economic measures as predictors of educational attainment.Katy Huxley0Rhys Davies1Catherine Foster2Chris Taylor3Cardiff UniversityCardiff UniversityCardiff UniversityCardiff UniversityObjectives and Approach Free School Meals (FSM) has commonly been used as a proxy for economic disadvantage or low socio-economic background within educational research in the UK, as eligibility is based upon receipt of government welfare benefits. It is also used by government in funding decisions for schools. However, in December 2021 the Welsh Government announced that the offer of FSM will be expanded to all pupils in primary schools, meaning that this measure will no longer be available as a proxy. Our objective is therefore to considers the potential of other administrative sources of socio-economic information to fill this gap. Linking administrative education data and Census 2011 data for Wales, we undertook descriptive and regression analyses to consider how Census measures of deprivation act compared to the FSM measure in predicting attainment. Results Our descriptive results show that not all pupils who are eligible for FSM are captured by the Census measures. However, our regression results indicate that socio-economic indicators from the Census – namely highest household qualification, approximated social grade and economic inactivity – all behave in a similar fashion to that of the proxy measure, FSM in association with pupil attainment. Conclusion We consider results in comparison to studies using survey data, and discuss implications for the future measurement of economic disadvantage in Wales among primary school pupils. https://ijpds.org/article/view/1988EducationCensusWalesFree School MealsSocio-economic disadvantage |
| spellingShingle | Katy Huxley Rhys Davies Catherine Foster Chris Taylor Comparing socio-economic measures as predictors of educational attainment. International Journal of Population Data Science Education Census Wales Free School Meals Socio-economic disadvantage |
| title | Comparing socio-economic measures as predictors of educational attainment. |
| title_full | Comparing socio-economic measures as predictors of educational attainment. |
| title_fullStr | Comparing socio-economic measures as predictors of educational attainment. |
| title_full_unstemmed | Comparing socio-economic measures as predictors of educational attainment. |
| title_short | Comparing socio-economic measures as predictors of educational attainment. |
| title_sort | comparing socio economic measures as predictors of educational attainment |
| topic | Education Census Wales Free School Meals Socio-economic disadvantage |
| url | https://ijpds.org/article/view/1988 |
| work_keys_str_mv | AT katyhuxley comparingsocioeconomicmeasuresaspredictorsofeducationalattainment AT rhysdavies comparingsocioeconomicmeasuresaspredictorsofeducationalattainment AT catherinefoster comparingsocioeconomicmeasuresaspredictorsofeducationalattainment AT christaylor comparingsocioeconomicmeasuresaspredictorsofeducationalattainment |