A reassessment of socio-economic gradients in child cognitive development using Growth Mixture Models
A reassessment of socio-economic gradients in child cognitive development using Growth Mixture Models
Recent social and educational policy debate in the UK has been strongly influenced by studies which have found children’s cognitive developmental trajectories to be significantly affected by the socio-economic status of the households into which they were born. Most notably, using data from the 1970 British cohort study, Feinstein (2003) concluded that children from less advantaged backgrounds who scored high on cognitive tests at 22 months had been overtaken by age 5 by children from more advantaged origins, who had scored lower on the baseline test. However, questions have been raised about the methodological robustness of these studies, particularly the possibility that their key findings are, at least in part, an artefact of regression to the mean. In this paper, we assess Growth Mixture Models as an alternative approach for identifying and explaining cognitive developmental trajectories in children which is robust to regression to the mean. We apply this approach to longitudinal children’s cognitive test score data from the Millennium Cohort Study. Our findings provide no support for the contention that more initially able children from disadvantaged backgrounds are ‘over-taken’ in cognitive development by less initially able children from more affluent backgrounds. We do, however, find that cognitive developmental trajectories are related to socio-economic status, such that initial class-based inequalities increase over time.
283-305
Sindall, Katy
57703b0e-085d-40a4-ad10-2a9f6e99f23b
Sturgis, Patrick
b9f6b40c-50d2-4117-805a-577b501d0b3c
Steele, Fiona
d5a2c174-2057-4371-a05c-1fd34747e1f6
Leckie, George
f43160a2-f379-4c38-b6b3-db5235181b33
French, Robert
582c2fc9-99a6-4d5c-8aa7-e584e82b881f
1 July 2019
Sindall, Katy
57703b0e-085d-40a4-ad10-2a9f6e99f23b
Sturgis, Patrick
b9f6b40c-50d2-4117-805a-577b501d0b3c
Steele, Fiona
d5a2c174-2057-4371-a05c-1fd34747e1f6
Leckie, George
f43160a2-f379-4c38-b6b3-db5235181b33
French, Robert
582c2fc9-99a6-4d5c-8aa7-e584e82b881f
Sindall, Katy, Sturgis, Patrick, Steele, Fiona, Leckie, George and French, Robert
(2019)
A reassessment of socio-economic gradients in child cognitive development using Growth Mixture Models.
Longitudinal and Life Course Studies, 10 (3), .
(doi:10.1332/175795919X15628474680682).
Abstract
Recent social and educational policy debate in the UK has been strongly influenced by studies which have found children’s cognitive developmental trajectories to be significantly affected by the socio-economic status of the households into which they were born. Most notably, using data from the 1970 British cohort study, Feinstein (2003) concluded that children from less advantaged backgrounds who scored high on cognitive tests at 22 months had been overtaken by age 5 by children from more advantaged origins, who had scored lower on the baseline test. However, questions have been raised about the methodological robustness of these studies, particularly the possibility that their key findings are, at least in part, an artefact of regression to the mean. In this paper, we assess Growth Mixture Models as an alternative approach for identifying and explaining cognitive developmental trajectories in children which is robust to regression to the mean. We apply this approach to longitudinal children’s cognitive test score data from the Millennium Cohort Study. Our findings provide no support for the contention that more initially able children from disadvantaged backgrounds are ‘over-taken’ in cognitive development by less initially able children from more affluent backgrounds. We do, however, find that cognitive developmental trajectories are related to socio-economic status, such that initial class-based inequalities increase over time.
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Accepted/In Press date: 16 December 2018
e-pub ahead of print date: 1 July 2019
Published date: 1 July 2019
Identifiers
Local EPrints ID: 427068
URI: http://eprints.soton.ac.uk/id/eprint/427068
ISSN: 1757-9597
PURE UUID: ac494d3e-8b0f-417f-a55e-36cf6a555127
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Date deposited: 21 Dec 2018 16:30
Last modified: 16 Mar 2024 07:26
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Author:
Patrick Sturgis
Author:
Fiona Steele
Author:
George Leckie
Author:
Robert French
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