Evaluation is a critical component of continuous improvement in education. Robust evaluations enable engaged parties to determine program and intervention impact on key outcomes, identify areas for improvement, and guide future actions. Additionally, as educational systems increasingly focus on data-driven decisionmaking, evaluation becomes even…

Colorado has led the nation in supporting the success of all Coloradans, enacting bold policies, and continuing to build a Colorado for all. These efforts have all been informed by robust stakeholder engagement paired with data analysis. Various initiatives over the years have improved the state's ability to use data to inform these goals. With…

Special education and related professionals often understand the importance of adhering to intervention procedures (i.e., fidelity), but may be less familiar with concepts of intervention intensity. In some cases, professionals may correctly apply an intervention, but with insufficient intensity. This can result in an intervention failing to…

In an effort to best support student learning, school districts are seeking the most effective means of improving instruction while effectively addressing student inequities. As the focus on accountability intensifies, the use of data is paramount. Access to data alone, does not ensure quality, data-driven instruction. The lack of teacher…

Intervention dosage is an often-overlooked aspect of implementation fidelity. Tracking intervention dosage is critical for ensuring students with disabilities were present for and received the intervention for as many minutes as intended. Used in tandem with student performance data, intervention dosage can provide a clearer picture of…

Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…

Stand-alone reading intervention courses, or reading classes, are designed to facilitate the literacy development of adolescents who have been deemed "struggling" readers. However, the existence of such courses does not mean that these goals are realized. Decades of qualitative research on youth perspectives and experiences have…

We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…

We assessed whether an adaptation of value-added analysis (VAA) can provide evidence on the relative effectiveness of interventions implemented in a large school district. We analyzed two datasets, one documenting interventions received by underperforming students, and one documenting interventions received by students in schools benefiting from…

There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…

School-Wide Positive Behavioral Interventions and Supports (SWPBIS) are an integral part of schools across the United States. When implementing SWPBIS, academic achievement, emotional regulation, prosocial behavior increases while behavioral problems, bullying, exclusionary discipline teacher stress and teacher burnout decrease. Despite the…

Including cost-effectiveness data in the evaluation of programs is the next step in the evolution of evidence-based practice. Evidence-based practice is grounded in three complementary elements: best available evidence, professional judgment, and client values and context. To fully apply the cost-effectiveness data, school administrators will have…

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…

Accurately evaluating what works -- and what doesn't -- to improve student progression through higher education requires the robust use of reliable data. States play a pivotal role in compiling and using data to empower student choice, spur continuous institutional and system improvement, and develop evidence-based solutions that promote college…

Using data to drive decision-making and evaluate program effectiveness is paramount to the school counseling profession. In this pilot study, researchers utilized a quasi-experimental design to examine the impact of training in action research on students' data attitudes and self-efficacy. Participants in the experimental group saw greater…