IPEDS graduation rates have become de facto means for higher education accountability in the United States, used by the federal government, state and local agencies, non-profits and media to compare and rank institutions. IPEDS uses a limited subset of students, as well as an institutional perspective to measure graduation rate. Under this model,…

Many elementary mathematics teachers hold beliefs about the teaching and learning of mathematics and enact practices that are not aligned with the recommendations of reform efforts in the field of mathematics education (Stigler & Hiebert, 2009). For standards-based reform to gain any significant success, many teachers will have to alter the…

Accurate and complete data can empower college choices, promote student success, and inform federal, state and institutional policies. Yet existing postsecondary student data systems are disconnected, duplicative and incomplete. "A Blueprint for Better Information: Recommendations for a Federal Postsecondary Student-Level Data Network"…

States provide a variety of public services to support the healthy growth and development of young children. These services are often administered by several different agencies within a state, and it isn't unusual for young children to receive services from multiple agencies simultaneously. This can lead to challenges for policymakers, agency…

California collects expansive sets of data about students in its public K-12 and higher education systems--data that, collectively, have great potential to meet the information needs of state policymakers, local educators, and other stakeholders. But the data are collected and maintained in systems that are not connected, were designed for…

A quality rating and improvement system (QRIS) is a voluntary state assessment system that uses multidimensional data on early childhood education programs to rate program quality, support quality improvement efforts, and provide information to families about the quality of available early childhood education programs. QRISs have two components:…

This paper seeks to chart a course for leveraging a micro-credentialing system to enable more educators to achieve the potential of professional learning. The paper uses the Standards for Professional Learning as a frame to provide guidance to everyone involved in micro-credentials to ensure that learners experience the research-based elements of…

A research gap exists with regard to the analysis of school children and adolescents' awareness on environmental issues. Current investigation analyzes data of 240 children and adolescents, aged between 8 and 14 years, within different school contexts in the mid-southern region of Brazil, on their knowledge level and moral judgment on solid…

In general, data governance refers to the overall management of the availability, usability, integrity, quality, and security of data. A sound data governance program includes a governing body or council, a definition and allocation of authority, a defined set of procedures, and a plan to execute those procedures. This brief offers best practices…

Every Student Succeeds Act (ESSA) requires all states to collect and report school-level expenditure information, state education agencies (SEAs) are considering whether to set statewide rules for local education agencies (LEAs) around how to assign expenditures. Specifically, many states are wondering whether they need to standardize a practice…

There is a priority for schools to address students' social and emotional needs as we do academic learning. Tiered models of prevention provide a framework for teaching social skills and behavioral expectations, as well as academics, with positive, proactive, evidence-based practices. Central to responding to students' needs is accurate…

Bayesian statistical methods have become more feasible to implement with advances in computing but are not commonly used in educational research. In contrast to frequentist approaches that take hypotheses (and the associated parameters) as fixed, Bayesian methods take data as fixed and hypotheses as random. This difference means that Bayesian…

Despite nearly two decades of research, researchers have not resolved whether people generally perceive their skills accurately or inaccurately. In this paper, we trace this lack of resolution to numeracy, specifically to the frequently overlooked complications that arise from the noisy data produced by the paired measures that researchers employ…

Statistical literacy is essential in everyone's personal lives as consumers, citizens, and professionals. To make informed life and professional decisions, students are required to read, understand, and interpret vast amounts of information, much of which is quantitative. To develop statistical literacy so students are able to make sense of…

The purpose of this study was to learn from educational stakeholders what characteristics they like and dislike when viewing graphs of post-school outcomes data. We conducted six, 1-hour focus groups with teachers, administrators, and parents in which we distributed four stimuli graphs--horizontal grouped bars, horizontal stacked bars, vertical…