Format: Guides and BriefsState Determinations of Local Education Agency (LEA) Performance
This resource provides a summary of findings from 28 states’ publicly available LEA determinations processes. States can use this resource to learn more about the data elements, calculation methodologies, and determination category criteria these 28 states used for making LEA determinations. This information can be particularly valuable for those states considering revisions and updates to their own LEA determinations processes.
Format: Quick ReferenceSPP/APR Indicator Cards
IDC has created a laminated card that states can use when referring to the Part B SPP/APR Indicators. Indicator cards are available for the FFY 2019 SPP/APR and for the FFY2020-2025 SPP/APR. The front of the card has the Part B Indicators and the back includes information about the SSIP Indicator B17. States can contact their IDC State Liaisons for more information or to obtain the card. Information on IDC State Liaisons is available at the IDC website TA page.
Format: Guides and BriefsMethods for Assessing Racial/Ethnic Disproportionality in Special Education
This TA guide addresses the more common methods for calculating racial/ethnic disproportionality in special education. IDC revised the guide, which the Data Accountability Center (DAC) originally published in October 2011, because of a change in SPP/APR Indicators 9 and 10 to remove underrepresentation from the measure.
Format: Guides and BriefsFFY 2020–25 Part B SPP/APR Changes at a Glance
The FFY 2020–25 Part B SPP/APR Changes at a Glance resource is a quick overview for tracking updates to indicators in the new FFY 2020–25 SPP/APR package. For each of the 17 SPP/APR indicators, the table denotes whether there will be no changes, minor changes and/or clarifications, changes to response rates and representativeness, changes to data sources, and new components.
Format: Applications and SpreadsheetsEquity Requirements in IDEA
This resource compares the three equity requirements in IDEA (disproportionate representation, significant discrepancy, and significant disproportionality) across various elements to explain the similarities and the differences among the requirements.