The purpose of this manuscript is to share the work of a collaboration between professional development providers and university faculty as they created, implemented and refined a professional development series focused on supporting primary teachers' use of data-based decision making in reading. Using a formative and design-based approach,…

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…

We present a method for data-based decision making at the school level using student achievement data. We demonstrate the potential of a national assessment database [i.e., the University of Oregon DIBELS Data System (DDS)] to provide comparative levels of school-level data on average student achievement gains. Through the DDS as a data source,…

There is a growing expectation that schools should systematically collect and analyse data as a point of departure for decisions. However, research shows that teachers themselves are less convinced that they need to base their decisions on data, as they mainly rely on their intuition and experience. This article examines the extent to which…

The purpose of this qualitative study was to describe the lived experiences of primary classroom teachers participating in collaborative data-driven decision making. Hermeneutic phenomenology served as the theoretical framework. Data were collected by conducting interviews with thirteen classroom teachers who taught in grades kindergarten through…

To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…

The most recent reauthorization of the Individual's with Disabilities Education Improvement Act (IDEA, 2004) allows for the expansion of occupational therapy's role in school-based practice to include students who have not been identified for special education through early intervening services such as response to intervention (RtI).…

For over 100 years, retention has been an intervention used with students who are not performing at expected levels. Despite the lack of evidence that retention is an effective means of improving academic outcomes, retention continues to be used today. Response to Intervention (RTI) is a strategy to provide support to struggling students in an…

In today's educational environment, schools struggle to meet the academic needs of every student. Many schools are challenged by the use of a response-to-intervention framework in which too many students need strong interventions. This article details a data-driven, decision-making response-to-intervention reading team model in which teachers,…

The purpose of this study was to determine if there was a difference in how high and low performing elementary school districts use and analyze data to differentiate instruction, make changes to district/grade level curriculum, determine professional development needs, determine teacher effectiveness, and determine the use of school district…

The second edition of this essential handbook provides a comprehensive, updated overview of the science that informs best practices for the implementation of response to intervention (RTI) processes within Multi-Tiered Systems of Support (MTSS) to facilitate the academic success of all students. The volume includes insights from leading scholars…

Using data for school improvement is a key goal of Race to the Top, and now is the time to make data-driven school improvement a priority. However, many educators are drowning in data. Boost your professional learning community's ability to translate data into action with this new book from Pam Robbins and Robert T. Hess. "The Data Toolkit"…

The current study investigated the extent to which considering instructional time and student learning rate affects academic treatment decisions. Five second-grade students with difficulties in spelling were exposed to three spelling interventions (traditional drill and practice, interspersal training, and high-p sequencing). Using an alternating…