Joseph P. McDonald reports findings from a study of nine poverty-impacted schools in New York City striving to more effectively use student performance data in teaching. The study was one of 13 studies of data use at the classroom level across the United States funded by the Spencer Foundation -- an effort intended to fill a serious gap in…

For students who show inadequate response to research-based intervention, intensification of intervention using data-based decision making (DBDM) is recommended. There is a paucity of research on upper elementary students related to the efficacy of (a) word reading interventions and (b) DBDM procedures. This randomized controlled trial examined…

Drawing on ethnographic research from a small urban high school serving predominantly low-income students in a large northeastern city, this case explores how a school leader seeks to improve the school's graduation rates by analyzing student data. It asks readers to consider the overall organization of the meeting, the role of the principal, the…

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…

Assessment and testing have become accepted practices in US schools today, to the point where teachers, parents, and students consider it excessive at the expense of instructional time in the classroom. Formative assessment programs have been implemented to improve academic performance for well over a decade. The problem that was examined by this…

Purpose: When school leaders advance strategic plans focused on improving educational equity through data-driven decision making, how do policies-as-practiced unfold in the daily work of science teachers? The paper aims to discuss this issue. Design/methodology/approach: This ethnographic study examines how data-centric accountability and…

This article examines school-level responses to subgroup accountability pressure through an ethnographic case study of a school cited for failing to make adequate yearly progress for student subgroups. Concerns about the calculations and measures used to derive the citation and reservations about acting on accountability data delegitimized the…

Despite a growing body of research on data use in education, there has been relatively little focus on the role of students. This article begins to fill this gap by exploring teacher and administrator reports on engaging students in data use at six middle schools. Even though teachers expressed a belief that involving students in data use would…

The purpose of this study was to measure decision-making influences within RtI teams. The study examined the factors that influence school personnel involved in three areas of RtI: determining which RtI measures and tools teams select and implement (i.e. Measures and Tools), evaluating the data-driven decisions that are made based on the…

Purpose: The purpose of this paper is to examine how data are used in classroom placement routines. The authors explore educators' assumptions about the purposes of the classroom placement routine, detailing the ostensive (i.e. structure and template) and performative aspects of the routine itself, and the implications of data use for equity and…

This quantitative study of South Carolina middle school principals investigated how these principals use data in decision making. The P3DMI developed by Childress (2009) was incorporated into the survey to evaluate the role data plays in four areas of leadership for these principals: 1) school vision, 2) school instruction, 3) school organization,…

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…

Purpose: Supporting teachers' use of data has become a large part of educational leaders' instructional leadership. Drawing on sensemaking theory, we explore how features of data and teachers' perceptions of them may matter when teachers consider student learning data. Design: The article draws on a 1-year, comparative case study of five…

This study explored the data-based decision making of 12 teachers in grades 6-8 who were asked about their perceptions and use of three required interim measures of reading performance: oral reading fluency (ORF), retell, and a benchmark comprised of released state test items. Focus group participants reported they did not believe the benchmark or…