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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 - 4 of 4

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    An IDC Resource

    Format: Applications and Spreadsheets

    EDFacts IDEA Discipline Data Infographic

    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. 

    An IDC Resource

    Format: Applications and Spreadsheets

    IDEA Data Quality: Outlier Analyses Tools

    IDC designed these two technical assistance products to be used by state personnel responsible for IDEA 618 and/or 616 data. The products include a step-by-step guide on completing an outlier analysis, with a brief introduction on the principles of outlier analyses, and a tool state staff can use to conduct outlier analyses with their local data. IDEA Part B state staff working with LEAs also can use both products to analyze their local data.

    An IDC Resource

    Format: Applications and Spreadsheets

    Business Rules Documentation Protocol

    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.

    An IDC Resource

    Format: Applications and Spreadsheets

    Data Sources for Calculating Significant Disproportionality

    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.