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Resource Library

Guides. Briefs. Toolkits. Quick reference information. IDC and its partners created these data quality resources to help states better prepare to address their existing or emerging IDEA data quality needs. Use our search and filtering tools to navigate the library.

Resources 1 - 7 of 20

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    An IDC Resource

    Format: Quick Reference

    SPP/APR Indicator Card

    The SPP/APR indicators measure child and family outcomes as well as compliance with the requirements of IDEA. This quick-reference resource from IDC includes a list and brief definition of all the Part B FFY 2020–2025 SPP/APR indicators (including the new Indicator 18!), as well as a list of file specifications associated with each of the seven IDEA 618 data collections, all in one convenient package. Print one out here or contact your IDC State Liaison for a laminated version you can carry along wherever you go.

    An IDC Resource
    Differentiated Monitoring and Support (DMS 2.0): Reference Guide for OSEP’s Data and SPP/APR Protocol

    This new resource can support SEA staff who prepare for the data systems and SPP/APR components of DMS 2.0. It includes a review of the Parts B and C—Data and SPP/APR Protocol along with IDC’s suggested evidence that an SEA may provide to OSEP in support of each monitoring question in the protocol. This resource also includes a list of IDC TA resources that states can use to create or strengthen their evidence.

    An IDC Resource

    Format: Quick Reference

    Comprehensive IDC Part B Tool & Product List

    This resource is a list of IDC produced Part B tools and products arranged by topic area. The list provides a brief description and link to each tool or product. Users can quickly scan for useful tools and products to ensure that they have explored all of the many Part B available resources that IDC has produced.

    An IDC Resource

    Format: Applications and Spreadsheets

    Significant Disproportionality Calculator and User's Guide

    The 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.

    An IDC Resource

    Format: Guides and Briefs

    Unpacking and Understanding Part B SPP/APR Indicator 3D

    The 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.

    An IDC Resource

    Format: Quick Reference

    Significant Disproportionality Resources

    The 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.

    An IDC Resource

    Format: Guides and Briefs

    State Determinations of Local Education Agency (LEA) Performance

    This resource provides a summary of findings from 28 states’ publicly available LEA determinations processes. States can use this resource to learn more about the data elements, calculation methodologies, and determination category criteria these 28 states used for making LEA determinations. This information can be particularly valuable for those states considering revisions and updates to their own LEA determinations processes.