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Parenting and Preschool Self-Regulation as Predictors of Social Emotional Competence in 1st Grade.
Russell, Beth S; Lee, Jungeun Olivia; Spieker, Susan; Oxford, Monica L.
Afiliação
  • Russell BS; University of Connecticut, Storrs, Connecticut.
  • Lee JO; University of Washington, Seattle, Washington.
  • Spieker S; University of Washington, Seattle, Washington.
  • Oxford ML; University of Washington, Seattle, Washington.
J Res Child Educ ; 30(2): 153-169, 2016.
Article em En | MEDLINE | ID: mdl-27616805
ABSTRACT
The current longitudinal study used data from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (SECCYD) to examine a model of development that emphasizes early caregiving environments as predictors of social emotional competence (including classroom competence). This path analysis model included features of parenting, emotion regulation, preschool language skills, and attention to predict child outcomes in 1st grade. Early caregiving environments were directly predictive of peer relationship satisfaction, oppositional behavior, social skills, and classroom competence over and above significant mediated effects through preschool self regulation (language, inattention, and anger/frustration). These results suggest that the characteristics of supportive and stimulating caregiving shift in valence over time, such that qualities of the infant-child relationship that are significant in predicting early childhood outcomes are not the same as the caregiving qualities that move to the foreground in predicting primary school outcomes. Implications for school-readiness programming are discussed, including interventions in the early caregiving system to encourage sensitive and supportive parent child interactions to bolster school readiness via the development of social-emotional competence.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article