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Cited by 592

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

Modeling the Impacts of Child Care Quality on Children's Preschool Cognitive Development

National Institute of Child Health and Human Development Early Child Care Research Network, Duncan, Greg J·2003·Child Development

Abstract

The National Institute of Child Health and Human Development (NICHD) Study of Early Child Care compared 3 statistical methods that adjust for family selection bias to test whether child care type and quality relate to cognitive and academic skills. The methods included: multiple regression models of 54-month outcomes, change models of differences in 24- and 54-month outcomes, and residualized change models of 54-month outcomes adjusting for the 24-month outcome. The study was unable to establish empirically which model best adjusted for selection and omitted-variable bias. Nevertheless, results suggested that child care quality predicted cognitive outcomes at 54 months, with effect sizes of .04 to .08 for both infant and preschool ages. Center care during preschool years also predicted outcomes across all models.

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Metadata

Authors
National Institute of Child Health and Human Development Early Child Care Research Network, & Duncan, G. J.
Venue
Child Development
Published
2003-09-12
Volume
74
Issue
5
Pages
1454-1475
ISSN
  • 0009-3920 (ISSN-L)
  • 1467-8624
OpenAlex
W2085678534
Cited by
592
References
8
FWCI
117.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling the Impacts of Child Care Quality on Children's Preschool Cognitive Development. https://app.cochat.ai/papers/10.1111/1467-8624.00617
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National Institute of Child Health and Human Development Early Child Care Research Network, & Duncan, G. J. (2003). Modeling the Impacts of Child Care Quality on Children's Preschool Cognitive Development. Child Development. https://doi.org/10.1111/1467-8624.00617

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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.