Resource Library

This tool provides an overview of the public reporting requirements for IDEA Section 618 and processes for fulfilling the requirements. The tool annotates Section 618 legislation to name relevant data collections, file specifications documents, and user guides. Through a question-and-answer format, the tool highlights common processes and critical considerations to complete the requirements and points to external resources for further support.

This FAQ document focuses on helping SEAs and LEAs understand CEIS and its reporting requirements. SEAs and LEAs can use the resource in conjunction with the OSEP Guidance Memo 08-09.

The Maintenance of Effort (MOE) Reduction Eligibility Worksheets includes two documents to assist SEAs and LEAs/ESAs with MOE reduction. The first is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for the LEA/ESAs. The second document is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for all the LEAs/ESAs within the SEA.

Significant disproportionality with regard to identifying children as children with disabilities or as children with specific disabilities is, by definition, overrepresentation. This resource defines overrepresentation and three related terms: over-identification, under-identification, and underrepresentation. States can use this resource, in conjunction with the Success Gaps Toolkit to help identify and address the factors contributing to significant disproportionality (i.e., overrepresentation) within school districts.

The IDEA Part B Confidentiality Checklist can aid state and local agencies in identifying actions, policies, and procedures needed to meet confidentiality provisions outlined in the IDEA Part B, 20 U.S.C. §1400.

This tool provides a list of privacy resources for IDEA.

Data Sources for Calculating Significant Disproportionality provides a summary of the data needed to calculate significant disproportionality for identification, placement, and discipline.  For each category of analysis, this resource  provides a description of the data needed to calculate the risk numerator and risk denominator,  and notes the relevant EDFacts file specifications, including which subtotals or category sets, as appropriate.