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Format: Applications and Spreadsheets
Significant Disproportionality Calculator and User's GuideThe Significant Disproportionality Calculator is a spreadsheet application that the IDEA Data Center (IDC) created to help states analyze their data, make determinations of significant disproportionality, and support local education agencies (LEAs) in their analysis of data for significant disproportionality at the school-level. The accompanying user’s guide describes each worksheet within the calculator, formatting requirements, and instructions for using the calculator.
Format: Quick Reference
Significant Disproportionality ResourcesThe Equity in IDEA regulations require states to determine annually if local education agencies (LEAs) are identified with significant disproportionality. The regulations outline specific requirements related to methods for identifying LEAs and activities the LEAs must complete after they are identified. These significant disproportionality resources can assist states with implementing these requirements and supporting LEAs through the process of meeting the requirements.
Format: Trainings
ii20 Session Presentations and HandoutsThe Interactive Institutes 2020 – Building and Sustaining a Culture of High-Quality Data provided opportunities for participants to take a deep dive into data quality topics to learn about data culture change. Participants were able to discover best practices to improve data collection, reporting, analysis, and use. They also engaged with peers and TA providers about trending data quality topics. Each session presented powerful ideas and actionable plans to improve work processes and data quality.
Format: Guides and Briefs
Unpacking and Understanding Part B SPP/APR Indicator 3DThe purpose of this resource is to unpack Part B SPP/APR Indicator 3D to better understand how to use Indicator 3D results to improve outcomes for all children with IEPs. This resource guides the reader through Indicator 3D, including how to calculate it; information on the setting/resetting of its baselines and targets; and considerations when analyzing, reporting, and using Indicator 3D data. As an aid to deepen learning, this resource includes examples with fictitious data.