Resource Library

A graphic illustrating how different IDEA data collections can span multiple years and how a state may be working simultaneously with data from multiple school years.

Who doesn't love a good calendar? This tool serves as a reference for states as they plan for the timely and accurate submission of their 618 data collections. Simply select a month to view the data collection and corresponding tasks and activities for that month, or select a report to view a monthly breakdown of activities and related resources. 

The Business Rules Documentation Protocol is a customizable Excel template that states can use for documenting, recording, and communicating existing business rules or data quality validation checks they perform during the collection and validation of IDEA Part B data.

The Data Meeting Toolkit is a suite of tools that groups can use to guide conversation around data and support data-based decisionmaking. The toolkit provides resources to support success before, during, and after data meetings.

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. 

The 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. 

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.