This quantitative study was designed to investigate whether a relationship existed between reading achievement and instructional modality during the COVID-19 pandemic. In the fall of 2020, school districts developed return-to-school plans that outlined if they would provide in-person, hybrid, or remote instruction to students following the state…

In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…

In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many…

The Fluid Earth (FE) is an interactive data visualization initially developed for learning about Earth's atmosphere in informal educational settings. In this study, we tested FE in middle school classes to assess student engagement in a formal educational setting. Using a quasi-experimental design, students were assigned to interact with the data…

This report explores the Annie E. Casey Foundation's Deep-End Initiative, which is helping juvenile justice jurisdictions safely and significantly reduce youth confinement -- especially for young people of color. In America today, youth of color are consistently over-represented in courtrooms and detention centers, youth prisons and other…

This report presents school-level finance data on expenditures by function from the School-Level Finance Survey (SLFS). The SLFS is an extension of two existing collections being conducted by the National Center for Education Statistics (NCES) in collaboration with the Census Bureau: the School District Finance Survey (F-33) and the state-level…

Inspired by the 2017 Big Ten Academic Alliance Library Conference's collective collection theme, the authors undertook a study to better understand the consortium's resource-sharing needs for Spanish and Portuguese materials published in Latin America. The authors employed multiple technologies to expedite gathering, reconciling, and analyzing…

Short comparative interrupted times series (CITS) designs are increasingly being used in education research to assess the effectiveness of school-level interventions. These designs can be implemented relatively inexpensively, often drawing on publicly available data on aggregate school performance. However, the validity of this approach hinges on…

A small number of districts in Ohio from a variety of locales have adopted merit pay provisions. Using Springer's (2009) taxonomy of teacher compensation, we analyzed compensation provisions of these districts. We asked: What are the characteristics of these districts? What criteria are used to determine merit? Who is determining who receives…

This chartbook is the 14th version to be produced for the Appalachian Regional Commission (ARC) by the Population Reference Bureau (PRB). The Chartbook describes the diversity of the Appalachian Region on a host of demographic and economic measures and provides an important annual view of the area and its people. The data contained in the…

Accountability seems forever engrained into the K-12 environment, as has been the expectation of delivering quality education to school aged children and adolescents. Yet, repeated failure of this expectation has focused the public's and policy maker's attention on the limitations of major accountability systems. This paper explores applications…

The rate at which data is produced and accumulated today is greater than at any point in history with little prospect of slowing. As organizations attempt to collect and analyze this data, there is a tremendous unmet demand for appropriately skilled knowledge workers. In response, universities are developing degree programs in data science and…

Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…

Lorain County Community College (LCCC) was designed for access, however, not necessarily completion. The college was unprepared for students who wanted to earn a degree but then often didn't make it to graduation. In 2011, LCCC retained fewer than six in ten students. Its three-year graduation rate was 8 percent. For African American students, it…

State and local education agencies across the country face challenges related to understanding and managing their teaching staff to best help students learn. Statewide longitudinal data systems (SLDSs) offer valuable information about teacher labor markets that can be used to analyze supply and demand, inform budget and staffing decisions, and…