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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 14

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    An IDC Resource

    Format: Applications and Spreadsheets

    SEA Edit Check and Data Display Tools for IDEA 618 Part B Data

    IDC presents the SEA Edit Check and Data Display Tools for IDEA 618 Part B Data to help states prepare their Part B data submissions. States can use these tools to review the contents of their IDEA 618 EDFacts Part B personnel, exiting, discipline and child count and educational environment data for children ages 3–5 (FS089) and students ages 6–21 (FS002) prior to submission to the EDFacts Submission System or ESS. The tools apply edit checks and identify potential errors in subtotals or totals in the data files. In addition, the tools provide user-friendly summaries of the 618 data. The tools are enhanced versions of the SEA Edit Check and Data Display Tools for personnel, exiting, discipline, and child count and educational environment data. The main difference is the enhanced edit check tools require states to directly copy and paste the EDFacts data files they will submit to ESS as opposed to manually entering data into an Excel file in a format that is different than the one required for submission to ESS.

    An IDC Resource

    Format: Applications and Spreadsheets

    SEA Edit Check and Data Display Tool - Part B MOE and CEIS

    IDC and CIFR  developed the SEA Edit Check and Data Display Tool - Part B MOE and CEIS to help states prepare their Part B MOE and CEIS data submission. States can use the tool to identify potential edit check errors or errors in subtotals or totals prior to submitting the data to OSEP.  The tool allows states to input LEA-level data into the base data tab and generates edit check messages that the tool displays in the auto-calculations tab. IDC and CIFR updated the MOE and CEIS edit check tool with the revised reporting years and to reflect updates to three edit checks. 

    An IDC Resource

    Format: Guides and Briefs

    Navigating Voluntary Coordinated Early Intervening Services (CEIS)

    This technical assistance document focuses on helping SEAs and LEAs better understand voluntary CEIS and its reporting requirements. It also provides examples of various data collection and reporting methods states use to collect and report voluntary CEIS data.

    An IDC Resource

    Format: Guides and Briefs

    Navigating Coordinated Early Intervening Services (CEIS) Frequently Asked Questions (FAQ)

    This FAQ document focuses on helping SEAs and LEAs understand CEIS and its reporting requirements. SEAs and LEAs can use the resource in conjunction with the OSEP Guidance Memo 08-09.

    An IDC Resource

    Format: Applications and Spreadsheets

    Maintenance of Effort (MOE) Reduction Eligibility Worksheets

    The Maintenance of Effort (MOE) Reduction Eligibility Worksheets includes two documents to assist SEAs and LEAs/ESAs with MOE reduction. The first is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for the LEA/ESAs. The second document is an Excel-based worksheet that facilitates the calculation of the maximum allowable amount of MOE reduction and CEIS for all the LEAs/ESAs within the SEA.

    An IDC Resource

    Format: Applications and Spreadsheets

    LEA EDFacts Edit Check and Data Display Tools

    The LEA EDFacts Edit Check and Data Display Tools allow states to identify potential business rule errors or errors in category sets, subtotals, or totals prior to submitting the data to OSEP via the EDFacts Submission System. The tool also provides states with user-friendly data summaries.

    An IDC Resource

    Format: Applications and Spreadsheets

    Equity Requirements in IDEA

    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.