Site Search

The purpose of this resource is to unpack Part B SPP/APR Indicator 3D to better understand how to use Indicator 3D results to improve outcomes for all children with IEPs. This resource guides the reader through Indicator 3D, including how to calculate it; information on the setting/resetting of its baselines and targets; and considerations when analyzing, reporting, and using Indicator 3D data. As an aid to deepen learning, this resource includes examples with fictitious data.

The presentation describes the four criteria for a usable intervention, one of the active implementation frameworks, and tools and processes for assessing and improving the usability of an intervention.

This white paper focuses on the relationship between SSIP Phases I and II by demonstrating how the theory of action can be used to develop the SSIP evaluation plan and performance indicators that measure progress toward the SIMR.

It can be challenging to bridge the huge shift from a focus on solely compliance-driven data to an emphasis on results-driven monitoring. Compliance data can be hard and fast; results-driven data can be harder to pin down. This topical burst provided an overview of compliance data, the interrelationship between compliance and results data, and existing processes that can help bridge the gap between accountability and program improvement.

To address the disparities experienced by minority students with disabilities, the U.S. Department of Education is proposing a new Equity in IDEA Rule. During this session, presenters used data examples to guide states through a series of questions regarding how the Notice of Proposed Rule Making might affect significant disproportionality calculations, analysis, and decision-making. Presenters also introduced IDC’s Success Gaps Toolbox, which can help states and local school districts in determining root causes of significant disproportionality.

The presentation reviews information on evidence-based strategies and practices to support improved reading.

Use of implementation science is critical in planning and implementing systemic improvement. This information explores how to operationalize the components of implementation science and how to select, implement, and scale-up chosen evidence-based practices. Helpful handouts are included.