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Cited by 282

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Working memory assessments at school entry as longitudinal predictors of National Curriculum attainment levels

Gathercole, Susan E., Brown, Leanne, Pickering, Susan J.·2003·Educational and Child Psychology

Abstract

A longitudinal study of 54 children aged between 4 and 7 years of age investigated whether measures of working memory skills taken shortly after school entry served as useful predictors of children’s attainment levels in National Curriculum assessments at Key Stage 1. Early working memory scores were found to be highly significant predictors of children’s subsequent levels of attainment in literacy, but not in mathematics. Compared with the local education authority baseline assessments also administered at 4 years of age that are designed in large part to predict later attainments, working memory scores accounted for unique variance in children’s spelling and writing scores at 7 years. These findings point to the utility of combining knowledge-based assessments with measures of fluid cognitive ability in order to obtain the best estimates of a child’s chances of future academic success.

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Metadata

Authors
Gathercole, S. E., Brown, L., & Pickering, S. J.
Venue
Educational and Child Psychology
Published
2003
Volume
20
Issue
3
Pages
109-122
ISSN
  • 0267-1611 (ISSN-L)
  • 2396-8702
OpenAlex
W1510901533
Cited by
282
References
8
FWCI
4.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Working memory assessments at school entry as longitudinal predictors of National Curriculum attainment levels. https://app.cochat.ai/papers/10.53841/bpsecp.2003.20.3.109
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Gathercole, S. E., Brown, L., & Pickering, S. J. (2003). Working memory assessments at school entry as longitudinal predictors of National Curriculum attainment levels. Educational and Child Psychology. https://doi.org/10.53841/bpsecp.2003.20.3.109

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.