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Format: Guides and Briefs
Measuring Significant Discrepancy: An Indicator B4 Technical Assistance GuideThe TA guide describes the methods a state might use to appropriately determine which of its districts has a significant discrepancy (including a significant discrepancy by race or ethnicity) in the rates of out-of-school suspensions and expulsions totaling greater than 10 days for children with disabilities.
Format: Guides and Briefs
Methods for Assessing Racial/Ethnic Disproportionality in Special EducationThis 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: Applications and Spreadsheets
EDFacts IDEA Discipline Data InfographicThe EDFacts IDEA Discipline Data Infographic provides basic information about the EDFacts file specifications states use to submit IDEA Discipline data to the U.S. Department of Education. The infographic outlines details about Discipline data for children and youth with disabilities ages 3 through 21 that states must include in their annual submission of EDFacts files FS005, FS006, FS007, FS088, FS143, and FS144.
Format: Quick Reference
A Comparison of Mandatory Comprehensive Coordinated Early Intervening Services (CCEIS) and Voluntary Coordinated Early Intervening Services (CEIS)In December 2016, OSEP finalized new regulations on significant disproportionality (34 CFR §300.646). These regulations enforce the use of IDEA funds for mandatory CCEIS, which LEAs provide upon identification of significant disproportionality, and distinguish use of funds for CCEIS from the use of IDEA funds for voluntary CEIS. This resource is a handy chart that outlines the differences between CCEIS and voluntary CEIS.
Format: Applications and Spreadsheets
Equity Requirements in IDEAThis 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.