Despite evidence of the benefits of early care and education (ECE) for child development and family employment, the supply of providers is scarce and variable; leading many families with young children to experience limited and inequitable access. To examine the multidetermined nature of access, this study leverages a multidimensional,…

A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multilevel regression and poststratification (MRP), a model-based approach, is gaining traction against the traditional weighted approach for survey estimates. MRP estimates…

The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…

During the 2022-2023 academic year, the National Deaf Center on Postsecondary Outcomes (NDC) surveyed deaf students in higher education institutions across the nation. This report provides a comprehensive overview of survey results and offers suggestions for improving access and inclusion for deaf students on campus.

Engagement and academic achievement are generally correlated among elementary school students without learning disabilities (LDs). However, it is unclear if this pattern holds for students with LDs, who have lower achievement and engagement than their peers. This study examined whether links between achievement and student-reported behavioral…

This manuscript provides information on datasets pertaining to Project KIDS. Datasets include behavioral and achievement data for over 4,000 students between five and twelve years old participating in nine randomized control trials of reading instruction and intervention between 2005-2011, and information on home environments of a subset of 442…

The purpose of this research brief was to identify and provide an overview of national databases containing information about college students with disabilities. Eleven instruments from federal and university-based sources were described. Databases reflect a variety of survey methods, respondents, definitions of disability, and research questions.…

The purpose of this study is to investigate the nature of the relationship between problem-framing and reported engagement with external research evidence in school-based decision-making. This study serves as an important first attempt to explore and describe this potential relationship and its implications for the use of research in schools.…

This study examined the links between classroom skill compositions and preschoolers' early learning and development in the nationally representative Head Start Family and Child Experiences Survey 2014 (FACES, n = 1,711 children/207 classrooms) and public pre-K programs in a county in Virginia (n = 1,467 children/123 classrooms). Results from a…

As research continues to show the benefits of high-quality early childhood education, it is important to ensure that measures are available to assess the full impacts of these programs for student outcomes. Many achievement measures and observational measures exist, but there is a need for measures of children's experiences at the preschool level.…

Schools are an essential setting for mental health supports and services for students. To support student well-being, schools engage in universal mental health screening to identify students in need of support and to provide surveillance data for districtwide or statewide policy changes. Mental health data have been collected via anonymous and…

The present study tested the postulation that "knowledge begets reading, which begets knowledge." Using Random Intercepts Cross-Lagged Panel Models (RI-CLPM), we analyzed a U.S. nationally representative data set to examine the directionality and magnitude of the longitudinal relation between domain knowledge (operationalized as science…

Frequentists' inference often delivers point estimators associated with confidence intervals or sets for parameters of interest. Constructing the confidence intervals or sets requires understanding the sampling distributions of the point estimators, which, in many but not all cases, are related to asymptotic Normal distributions ensured by central…

The purpose of this study was to describe challenges identified by participants from three cohorts in a methods training workshop meant to strengthen evidence-based intervention knowledge and practice. Since passage of the "Every Student Succeeds Act" (ESSA), educational leaders and decision-makers have been charged with ensuring that…

Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to…