Down syndrome (DS) is a complex condition associated with multiple medical, developmental, and behavioral concerns. A prospective, longitudinal clinical database was integrated into a specialty Down Syndrome Program, with the goals of better understanding the incidence, course, and impact of co-occurring medical, neurodevelopmental, and mental…

Neisseria meningitides serogroup B, commonly referred to as Meningococcal B or Meningitis B, is a highly contagious bacterial infection primarily afflicting the college-aged population with disease contraction resulting in death or severe debilitation if not expediently diagnosed and treated. Currently, there are two vaccines, Bexsero and…

This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…

The Rail Trail and Property Values dataset includes information on a set of n = 104 homes which sold in Northampton, Massachusetts in 2007. The dataset provides house information (square footage, acreage, number of bedrooms, etc.), price estimates (from Zillow.com) at four time points, location, distance from a rail trail in the community, biking…

The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…

The purpose of this paper is to showcase new research that seeks to provide guidance on the heterogeneity of treatment effects by utilizing the variance of demographic differences in state assessments. This study is focused on a simple randomized block design where students are nested within schools, and within each school students are randomized…

Housing choice vouchers provide low-income households with additional income to spend on rental housing in the private market. The assistance vouchers provide is substantial, offering the potential to dramatically expand the neighborhood--and associated public schools--that low-income households can reach. However, existing research on the program…

From their presence on social media sites to in-house application data files, the amount of data that companies, governments, individuals, and sensors generate is overwhelming. The growth of Big Data in both consumer and enterprise activities has caused educators to consider options for including Big Data in the Information Systems curriculum.…

Though it is widely recognized that people with intellectual and developmental disabilities (IDD) face significant health disparities, the comprehensive data sets needed for population-level health surveillance of people with IDD are lacking. This paucity of data makes it difficult to track and accurately describe health differences, improvements,…

Today's American educational context is characterised by increasing standardisation coupled with heightened accountability. While some view standardisation as a lever for equity, many view it as problematic for the work of teachers. Efforts to improve student achievement by focusing on the activities of teachers have resulted in an over-riding…

Student perspectives reflect school climate. The study examined perspectives among deaf and hard of hearing students in residential and large day schools regarding bullying, and compared these perspectives with those of a national database of hearing students. The participants were 812 deaf and hard of hearing students in 11 U.S. schools. Data…

In April 2015, the Massachusetts Department of Elementary and Secondary Education (ESE) commissioned American Institutes for Research (AIR) to develop a comprehensive set of 10-year projections of teacher supply and demand in order to inform planning for future workforce needs. This included state-level projections both in the aggregate, as well…

Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…

Research has shown that low-income students especially struggle with evaluating financial aid offers and completing all necessary requirements to enroll after paying a deposit to a particular college in the spring (Authors, 2009). Motivated by these empirical results, the authors conducted three studies that showed students who were explicitly…

An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…