To analyze educational outcomes or evaluate operations, academic institutions need to produce high-quality data. Unfortunately, many institutions do not have accurate, timely, and useful data and information despite investments to manage technology. Furthermore, data management issues in education, including access, quality, and ownership, inhibit…

Career Technology Education (CTE) program evaluations have been mostly completed for compliance and monitoring purposes. Hence, they have limited use in establishing program effectiveness or for program improvement. Moreover, engaging in program evaluations can be time consuming and costly, especially for programs that have not been evaluated in…

The National Forum on Education Statistics convened the Data Disaggregation of Racial/Ethnic Subgroups Working Group to identify best practices for disaggregating data on racial/ethnic subgroups. This guide is intended to identify some of the overarching benefits and challenges involved in data disaggregation; recommend appropriate practices for…

In September and October of 2017, the Center on Education Policy conducted a survey of state deputy superintendents of education or their designees to learn about states' early efforts in implementing the Every Student Succeeds Act (ESSA). Most of those survey findings are described in the CEP publication "Planning for Progress: States…

We report on the implementation experience of carrying out data collection and other activities for a public health evaluation study on whether U.S. President's Emergency Plan for AIDS Relief (PEPFAR) investment improved utilization of health services and health system strengthening in Uganda. The retrospective study period focused on the PEPFAR…

As a result of the Response to Intervention (RTI) mandate in schools across many states, school counselors are well-positioned to take a leadership role. The present research study examines how school counselors across the nation perceived their training and knowledge of RTI, as well as their confidence in its implementation. Results indicate that…

The No Child Left Behind Act increases pressure on schools and districts to use standardized state test data. Seeking to learn about the process of turning accountability data into actionable information, this paper presents findings from three case studies of small to medium sized school districts. The study examines the flow of state science…

The "PISA 2009 Technical Report" describes the methodology underlying the PISA 2009 survey. It examines additional features related to the implementation of the project at a level of detail that allows researchers to understand and replicate its analyses. The reader will find a wealth of information on the test and sample design,…

This Spotlight focuses on data from the 2013 Core Data Service (CDS) to better understand how higher education institutions approach learning management systems (LMSs). Information provided for this Spotlight was derived from Module 8 of the Core Data Service, which contains several questions regarding information systems and applications.…

The No Child Left Behind legislation has drawn increased attention to student data. Data are most useful in educational decision-making when the purpose extends beyond vertical accountability and toward school- and classroom-level decision-making that enhances the experience and achievement of students. This necessarily involves getting practical…

Learning Forward's Standards for Professional Learning have the potential to influence educational policy and practice in profound ways for the systems that are courageous enough to take them seriously, and the Data standard is a critical element systemwide. Schools are overwhelmed with data warehouses, colorful charts and graphs, and endless…

This article examines the convergence of two popular school improvement policies: instructional coaching and data-driven decision making (DDDM). Drawing on a mixed methods study of a statewide reading coach program in Florida middle schools, the article examines how coaches support DDDM and how this support relates to student and teacher outcomes.…

In recent years, an increasing number of states have been moving towards the development and implementation of longitudinal data systems for tracking the progress of individual K-12 students with disabilities across their academic careers up to and including their postsecondary activities. In an effort to avoid duplication of data collection…

The author has developed a model for transferring and implementing educational innovations from one institution to another. The model consists of an organized set of variables whose precedence relationships were determined by statistical analysis of collected data. A questionnaire was sent to a sample of prospective consumers of educational…

This document describes the data collection and analysis design used by the Adult Literacy Information and Evaluation System (ALIES), which is the management information system for New York City's citywide adult education program expansion effort begun in 1984. Chapter 1 describes the system's background. Chapter 2 explains five issues that…