Guides. Briefs. Toolkits. Quick reference information. IDC and its partners created these data quality resources to help states better prepare to address their existing or emerging IDEA data.
This resource describes new reporting requirements and measurement changes to Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3. The resource offers a side-by-side comparison of the SPP/APR Part B indicator measurement tables for FFY 2019 and FFY 2020–2025 to highlight relevant differences in SPP/APR reporting of Indicator 3.
States can use the Organizer Template for Part B SPP/APR Target Setting to briefly document information for consideration when setting new SPP/APR targets for all indicators in the FFYs 2020-25 SPP/APR collection.
This suite of four resources can help states navigate the long and complicated process related to Part B Indicator 3 data. The process begins when a student is registered as a test-taker in a state assessment system and ends with public reporting via the State Performance Plan/Annual Performance Report (SPP/APR).
This companion resource is designed to be used alongside the Part B SPP/APR Template to assist state education agency (SEA) staff in preparing, writing, and submitting a well-written and comprehensive SSIP.
This resource was designed to help users unpack Part B SPP/APR Indicator 3D results to help improve outcomes for all children with IEPs.
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.
States will find our IDEA Assessment Data Display Tool for SPP/APR Indicator 3 a great help as they prepare SEA-level data for submission via EDPass. This resource will help them to see how data may appear in the SPP/APR. States can review their current year's data for Indicators 3A, 3B, 3C, and 3D using EDFacts files FS175, FS178, FS185, and FS188.
What do we mean when we talk about high-quality data? What defines such data and separates them from lower-quality data? Use this resource to help you think about your own data and what you might do to improve them.