Background: School absenteeism has been recognized as a growing issue in the United States, especially during the early elementary school years when it is most pervasive. Accordingly, there has been growing interest in understanding why children are absent and whether certain early educational experiences can reduce children's rates of school…

Data from the Early Childhood Longitudinal Study Kindergarten Class of 2010-2011 were used to examine the implications of preschool and full-day kindergarten enrollment for the subsequent school absences of 2,056 children with disabilities. Results suggest that children with disabilities who went to preschool were absent less frequently in…

Grade retention, the practice of requiring a student to remain in the same grade the following year, disproportionately affects students with sociodemographic risk and facing academic challenges. Each year, the United States spends $20 billion on retention and two million children are retained. Extant studies examining early elementary grade…

The No Child Left Behind Act requires that 95% of students in all public elementary and secondary schools are assessed in mathematics. Unfortunately, direct assessments of young students can be timely, costly, and challenging to administer. Therefore, policy makers have looked to indirect forms of assessment, such as teachers' ratings of student…

We examined the extent to which disparities in the receipt of special education services for speech or language impairments (SLIs) on the basis of race, ethnicity, or language use by kindergarten--when the delivery of these services might be expected to be most effective- have changed over a 12-year period in the United States. Logistic regression…

With the national push to expand preschool education, there has been growing interest in understanding why Latino families are enrolled in preschool at lower rates than non-Latino families. This study applied the accommodations model by Meyers and Jordan (2006) to the Early Childhood Longitudinal Study-Birth Cohort (n = 5,850) to provide a more…

Private and public investments in early childhood education have expanded significantly in recent years. Despite this heightened investment, we have little empirical evidence on whether children today enter school with different skills than they did in the late nineties. Using two large, nationally representative datasets, this paper documents how…

Nonnormality of univariate data has been extensively examined previously (Blanca et al., 2013; Micceri, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of…

Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…

This study tested whether individual executive function (EF) tasks were better characterized as formative or reflective indicators of the latent construct of EF. EF data that were collected as part of the Family Life Project (FLP), a prospective longitudinal study of families who were recruited at the birth of a new child (N = 1,292), when…

Purpose: We sought to identify factors predictive of or associated with receipt of speech/language services during early childhood. We did so by analyzing data from the Early Childhood Longitudinal Study-Birth Cohort (ECLS-B; Andreassen & Fletcher, 2005), a nationally representative dataset maintained by the U.S. Department of Education. We…

Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…

We examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools. To do so, we estimated multilevel growth models that included as predictors children's own general knowledge, reading and mathematics achievement, behavioral self-regulation, sociodemographics, other child-…

Studies using data from the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999 (ECLS-K:1999) revealed gender gaps in mathematics achievement and teacher perceptions. However, recent evidence suggests that gender gaps have closed on state tests, raising the question of whether such gaps are absent in the ECLS-K:2011 cohort.…

Growth curve models are widely used in social and behavioral sciences. However, typical growth curve models often assume that the errors are normally distributed although non-normal data may be even more common than normal data. In order to avoid possible statistical inference problems in blindly assuming normality, a general Bayesian framework is…