The Resource Library houses tools and products that were developed by IDC, developed with its collaborators, or submitted by IDC stakeholders. Search and filtering tools are available to help users navigate through the library.
Resources 29 - 35 of 113
Format: TrainingsThe Importance of High-Quality Data and the Role of Business Rules
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.
Format: Quick ReferenceWorking Principles of High-Quality IDEA Data
Use this interactive PDF to learn more about the different components of high-quality data.
Format: Guides and BriefsSignificant Disproportionality (Equity in IDEA)—Essential Questions and Answers
This Q&A answers essential questions about the Equity in IDEA Final Regulations, including information on the contents of the new rule, the standard methodology, remedies, important dates, and a glossary of terms.
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.
Format: Guides and BriefsExamining Representation and Identification: Over, Under, or Both?
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.
Format: Guides and BriefsIDEA Data Center Part B Data System Framework
The IDEA Data Center Part B Data System Framework is an overarching structure designed to support SEA staff responsible for working with and responding to IDEA Part B requirements related to the collection, analysis, use, and reporting of high-quality special education data. The framework contains broad concepts and principles that states can tailor to reflect their individual needs and approaches.
Format: Applications and SpreadsheetsSEA Edit Check and Data Display Tool - Part B MOE and CEIS
IDC and CIFR developed the SEA Edit Check and Data Display Tool - Part B MOE and CEIS to help states prepare their Part B MOE and CEIS data submission. States can use the tool to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP. The tool allows states to input LEA-level data into the base data tab and generates edit check messages that the tool displays in the auto-calculations tab. IDC and CIFR updated the MOE and CEIS edit check tool with the revised reporting years and to reflect updates to three edit checks.