The role of executive function and social-emotional skills in the development of literacy and numeracy during preschool: a cross-lagged longitudinal study.


Journal

Developmental science
ISSN: 1467-7687
Titre abrégé: Dev Sci
Pays: England
ID NLM: 9814574

Informations de publication

Date de publication:
07 2019
Historique:
received: 21 08 2018
revised: 19 11 2018
accepted: 15 01 2019
pubmed: 23 1 2019
medline: 27 11 2019
entrez: 23 1 2019
Statut: ppublish

Résumé

The majority of evidence on the interplay between academic and non-academic skills comes from high-income countries. The aim of this study was to examine the bidirectional associations between Ghanaian children's executive function, social-emotional, literacy, and numeracy skills longitudinally. Children (N = 3,862; M age = 5.2 years at time 1) were assessed using direct assessment at three time points over the course of two school years. Controlling for earlier levels of the same skill, early executive function predicted higher subsequent literacy and numeracy skills, and early literacy and numeracy skills predicted higher subsequent executive function, indicating that the development of executive function and academic skills is inter-related and complementary over time. Early literacy and numeracy predicted subsequent social-emotional skills, but early social-emotional skills did not predict subsequent literacy and numeracy skills. The findings provide longitudinal evidence on children's learning and development in West Africa and contribute to a global understanding of the relations between various developmental skills over time.

Identifiants

pubmed: 30666761
doi: 10.1111/desc.12800
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12800

Informations de copyright

© 2019 John Wiley & Sons Ltd.

Auteurs

Sharon Wolf (S)

Graduate School of Education, University of Pennsylvania, Philadelphia, Pennsylvania.

Dana Charles McCoy (DC)

Graduate School of Education, Harvard University, Cambridge, Massachusetts.

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Classifications MeSH