Background/Context: The data team intervention was designed to support schools in using data while developing a solution to an educational problem. The participating data team members are responsible for building collective capacity within their school for using data and implementing actions related to the improvement plan. This can be…

Collecting treatment integrity data is critical for (a) strengthening internal validity within a research study, (b) determining the impact of an intervention on student outcomes, and (c) assessing the need for implementation supports. Although researchers have noted the increased inclusion of treatment integrity data in published articles, there…

There is an increasing global emphasis on using data for decision making, with a growing body of research on interventions aimed at implementing and sustaining data-based decision making (DBDM) in schools. Yet, little is known about the school features that facilitate or hinder the implementation of DBDM. Based on a literature review, the authors…

Science is being criticized within scientific domains and society. To address this, we suggest that researchers in special education, broadly, and those working in the behavioral disorders field, specifically, consider three critical facets of research: (a) importance of rigor, (b) value of replication, and (c) transparency of reproducibility in…

Data-based decision making (DBDM) is presumed to improve student performance in elementary schools in all subjects. The majority of studies in which DBDM effects have been evaluated have focused on mathematics. A hierarchical multiple single-subject design was used to measure effects of a 2-year training, in which entire school teams learned how…

Students with persistent and severe reading difficulties pose a significant challenge for educators. The primary purpose of this article is to provide a detailed demonstration of data-based individualization (DBI) implementation in the area of reading. Also provided are various resources a teacher may access to learn more about the instructional…

The use of data-based decision making (DBDM) in schools to drive educational improvement and success has been strongly promoted by educational experts and policymakers, yet very little is documented about the actual DBDM practices used in schools. This study examines DBDM practices in 25 middle schools through 80 standardized observations of data…

The purpose of this guide is to provide information on how to use early warning data, including the Massachusetts Early Warning Indicator System (EWIS), to identify, diagnose, support and monitor students in grades 1-12. It offers educators an overview of EWIS and how to effectively use these data in conjunction with local data by following a…

Background/Context: In recent years, states, districts, schools, and external partners have recognized the need to proactively foster the use of data to guide educational decision-making and practice. Understanding that data alone will not guarantee use, individuals at all levels have invested in interventions to support better access to,…

Alternative education (AE) programs and schools usually serve distinct populations of students with educational disabilities and mental health or other needs. AE program staff often employ a range of curricula, interventions, and strategies that form an eclectic approach to addressing student needs. This may result in practices that are…

It has been 10 years since No Child Left Behind (NCLB), with its emphasis on scientifically based instruction as a means for improving the educational outcomes of students, was signed into law. In this article, we review the basic tenets of evidence-based practice as they apply to education as well as the progress that has been made in…

This paper provides federal policymakers and advocates with comprehensive, big-picture ideas for transforming federal policy to support the transition to competency-based learning. It is meant to start a dialogue on these issues, posing important questions to explore as policymakers contemplate a new vision for federal education policy through the…

The pace of implementation of PBIS in restrictive settings for juvenile offenders is accelerating. Recommendations for future research include the following: examine effects of PBIS on preventing entry into the school-to-prison pipeline, identify factors that influence PBIS implementation, develop the capacity of restrictive settings to engage in…

This article describes the emergence and influence of evidence-based practice and data-based decision making in educational systems. Increasingly, educators and consumers want to know that resources allocated to educational efforts yield strong effects for all learners. This trend is reflected by the widespread influence of evidence-based practice…

Background: Data-based decision making can lead to increased student achievement; however, schools struggle with the implementation of data-based decision making. Professional development in the use of data is therefore urgently needed. However, professional development is often ineffective in terms of improving the knowledge, skills, and attitude…