Resource Hub

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• Resource

  SEA Data Processes Toolkit

  Using the SEA IDEA Data Processes Toolkit to document data processes for all 616 and 618 data collections will establish a well-managed process for data collection, validation, and submission. In collaboration with IDC State Liaisons, states can use the toolkit to create and maintain a culture of high-quality data and establish and support consistent practices that produce valid and reliable data, while building the capacity of state staff.

  TA Topics:

  618 Data Collections, Local Data Quality

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  LEA Data Processes Toolkit

  The LEA Data Processes Toolkit is a collection of templates to document all state-level IDEA data collection and reporting procedures and activities. Using this toolkit to create protocols for all data collections will establish a well-managed process for data collection, analysis, and reporting. States can use the toolkit to establish and support consistent practices that produce valid and reliable data, build the capacity of data stewards, and create and maintain a culture of high-quality data.

  TA Topics:

  618 Data Collections, Local Data Quality

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  Statewide Assessment: Indicator 3 Measurement changes from FFY2019 to FFY 2020-2025

  This resource describes new reporting requirements and measurement changes to Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3. The resource offers a side-by-side comparison of the SPP/APR Part B indicator measurement tables for FFY 2019 and FFY 2020–2025 to highlight relevant differences in SPP/APR reporting of Indicator 3.

  TA Topics:

  SPP/APR

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  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.

  TA Topics:

  Local Data Quality

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  Stakeholder Engagement Planning Process Tool

  This practical planning tool helps states plan and report authentic, broad stakeholder engagement for the FFY 2020–2025 SPP/APR. Organized around 10 key questions, it supports clear, actionable planning and meaningful stakeholder input that informs decision-making and improves outcomes for students with disabilities and their families.

  TA Topics:

  SPP/APR

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  Spreadsheet Application for Calculating Disproportionality Measures

  This is a spreadsheet application and accompanying user’s guide that aids states in their assessment of racial/ethnic disproportionality. It calculates several disproportionality measures, including risk, risk ratio, weighted risk ratio, alternate risk ratio, risk difference, composition, difference in composition, relative difference in composition, the E-formula, and variations of several of these measures for total disciplinary removals.

  TA Topics:

  SPP/APR

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  SPP/APR Target Setting Toolkit

  We developed this series of eight Excel workbooks to help states as they set targets for their SPP/APR. Each tool presents five different target setting methodologies that states can use to develop, discuss, and, ultimately, set measurable and rigorous targets as required by IDEA.

  TA Topics:

  SPP/APR

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  SPP/APR Indicator Sampling Plan Checklist

  This tool helps states assess whether their sampling plans meet OSEP requirements for Part B SPP/APR indicators. States can use sampling to improve data quality and target resources effectively, but must follow specific guidelines.

  TA Topics:

  SPP/APR

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  SPP/APR Indicator Cards

  Created by IDC, this card is your handy reference to the Part B SPP/APR Indicators for the FFY 2019 SPP/APR and for the FFY2020-2025 SPP/APR. The front of the card includes the Part B Indicators, the back information about the SSIP Indicator B17.

  TA Topics:

  SPP/APR

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  Response Rate, Representativeness, and Nonresponse Bias—They All Matter!

  Response rate and representativeness are crucial in surveys. This resource defines and compares these terms, explaining their relation to nonresponse bias and ensuring data validity and generalizability.

  TA Topics:

  SPP/APR