Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…

In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…

The Oregon Department of Education (ODE) partnered with 15 elementary schools to obtain and analyze student-level daily attendance records for 6,390 students. Schools ranged in size from just over 100 students to more than 600 students. Geographic locations also varied with 4 schools located in a city, 4 in a suburb, 4 in a town, and 3 in a rural…

"Using Data for Continuous Improvement in Educator Preparation" provides case studies that illuminate and contextualize the ways in which educator preparation programs determine the data they need to improve, collect data, analyze data, share data with stakeholders, and close the loop by making focused improvements based on the data.…

Individuals with greater cognitive abilities generally show reduced rates of mind-wandering when completing relatively demanding tasks (Randall, Oswald, & Beier, 2014). However, it is yet unclear whether elevated rates of mind-wandering among low-ability individuals are manifestations of deliberate, intentional episodes of mind-wandering…

State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…

The subgroup requirements for accountability in the No Child Left Behind Act (NCLB) were designed to reveal underperformance of disadvantaged groups that could otherwise be hidden in aggregate averages. Both NCLB and its successor, the Every Student Succeeds Act (ESSA), left the choice of minimum subgroup size at the school level (n-size) for…

Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…

The three-tiered School-Wide Positive Behavioral Interventions and Supports (SWPBIS) model is now being implemented in more than 13,000 schools in the United States (Horner, Sugai, & Anderson, 2010). One core feature of Tier One of the SWPBIS model is the identification of social expectations and behavior indicators across all school settings.…

Research has shown principal support to be a critical variable for implementing and sustaining evidence-based practices. However, there remains little understanding of the factors that may influence a principal's personal decision to support a practice. The purpose of the current study was to examine events that influenced principals' support for…

The purpose of this study is to study the performance of different methods (inverse probability weighting and estimation of informative bounds) to control for differential attrition by comparing the results of different methods using two datasets: an original dataset from Portland Public Schools (PPS) subject to high rates of differential…

Research has shown principal support to be a critical variable for implementing and sustaining evidence-based practices. However, there remains little understanding of the factors that may influence a principal's personal decision to support a practice. The purpose of the current study was to examine events that influenced principals' support for…

In this policy brief, TransformEd provides policy recommendations for local and state leaders seeking to take a data-informed approach to SEL. We specifically crafted recommendations that incorporate the use of data because gathering data on SEL allows educators to make meaningful connections between student experiences, school culture, and…

The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…

Although there is a strong legislative base and perceived efficacy for multidisciplinary team decision making, limited evidence supports its effectiveness or consistency of implementation in practice. In recent research, we used the Decision Observation, Recording, and Analysis (DORA) tool to document activities and adult behaviors during positive…