Resource Library

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.

The Importance of High-Quality Data and the Role of Business Rules instructional video provides a brief introduction to the concept of using business rules to promote and support the collection of high-quality data within state and local systems for IDEA Part B and C.

The Incorporating Business Rules Into State Data Systems instructional video explores the different ways Part B and Part C state agencies can incorporate business rules into their IDEA state data collection and reporting systems.

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.

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. 

Use this interactive PDF to learn more about the different components of high-quality data.