Whether and to what extent kindergarten children's executive functions (EF) constitute promising targets of early intervention is currently unclear. This study examined whether kindergarten children's EF predicted their second-grade academic achievement and behavior. This was done using (a) a longitudinal and nationally representative sample (N =…

Using nationally representative data from the Family and Child Experiences Survey 2009 cohort (n = 2,842), this study examined the implications of 3- and 4-year-old's absences from Head Start for their early academic learning. The findings from this study revealed that children who missed more days of school, and especially those who were…

Associations between maternal reports of hours in child care and children's externalizing problems at 18 and 36 months of age were examined in a population-based Norwegian sample ("n" = 75,271). Within a sociopolitical context of homogenously high-quality child care, there was little evidence that high quantity of care causes…

North Carolina's Smart Start and More at Four (MAF) early childhood programs were evaluated through the end of elementary school (age 11) by estimating the impact of state funding allocations to programs in each of 100 counties across 13 consecutive years on outcomes for all children in each county-year group (n = 1,004,571; 49% female; 61%…

This study investigated relations among microlevel and macrolevel domains of oral narrative retells within and across the languages of Spanish-speaking bilingual children. Fifty-six first and second graders (M[subscript age] = 7 years, 3 months) were assessed on a retell task in Spanish and English. Two statistical analyses were conducted: (a)…

All theories of language development suggest that learning is constrained. However, theories differ on whether these constraints arise from language-specific processes or have domain-general origins such as the characteristics of human perception and information processing. The current experiments explored constraints on statistical learning of…

Defines structural equation modeling (SEM) and points out its relation to other more familiar data-analytic techniques, as well as some of the potentials and pitfalls of SEM in the analysis of developmental data. Discussion focuses on causal modeling, path diagrams, ordinary least-squares regression analysis, and powerful methods for model…