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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 22 - 28 of 35

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    An IDC Resource

    Format: Guides and Briefs

    A Guide to SSIP Evaluation Planning

    This guide describes key steps for developing a well-thought-out plan for evaluating an SSIP. The guide provides considerations for how to incorporate each step into an evaluation plan, as well as a series of worksheets that correspond to each step and can be used to facilitate the planning process. The guide, along with its corresponding worksheets, is intended for TA providers to use in partnership with state staff.

    An IDC Resource

    Format: Guides and Briefs

    Using a Theory of Action to Develop Performance Indicators to Measure Progress Toward a SiMR

    This white paper focuses on the relationship between SSIP Phases I and II by demonstrating how the theory of action can be used to develop the SSIP evaluation plan and performance indicators that measure progress toward the SIMR.

    An IDC Resource

    Format: Guides and Briefs

    Operationalizing Your SSIP Evaluation: A Self-Assessment Tool

    The purpose of this tool is to lead those within a state responsible for implementing their SSIP evaluation through the process of operationalizing their SSIP evaluation plan in tandem with implementation efforts. State staff can use this interactive self-assessment to gauge their team’s progress on key components necessary for fully executing their SSIP evaluation plan and to identify action steps needed to realize the greatest benefit from their evaluation efforts.

    An IDC Resource

    Format: Guides and Briefs

    Collecting and Reporting the New Data Elements Related to the Local Education Agency Maintenance of Effort Provisions

    Produced by IDC and CIFR, this resource discusses each of the four new data elements OSEP is adding related to the LEA MOE provisions of IDEA in the MOE Reduction and CEIS data collection. The resource reviews each new element, presents information about actions the SEA may take to address and answer the questions posed for each of the four data elements, and provides additional support and assistance as states prepare to collect and submit these data.

     

     

    An IDC Resource

    Format: Guides and Briefs

    IDEA Part B Discipline Data Collection Questions and Answers

    The purpose of this document is to assist states with the collection of data on children with disabilities served under IDEA who were subject to disciplinary removal. States can use this document to supplement the instructions provided in the EDFacts file specifications for the EDFacts files that are used to report IDEA disciplinary removal data (C005, C006, C007, C088, C143, and C144).

    An IDC Resource

    Format: Guides and Briefs

    FFY 2020–25 Part B SPP/APR Changes at a Glance

    The FFY 2020–25 Part B SPP/APR Changes at a Glance resource is a quick overview for tracking updates to indicators in the new FFY 2020–25 SPP/APR package. For each of the 17 SPP/APR indicators, the table denotes whether there will be no changes, minor changes and/or clarifications, changes to response rates and representativeness, changes to data sources, and new components.  

    An IDC Resource

    Format: Guides and Briefs

    Parent Involvement Data: How to Measure and Improve Representativeness for Indicator B8

    This interactive resource provides states with an overview on how to gather representative parent involvement data for Part B SPP/APR Indicator 8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the quality of parent involvement data, including strategies that can help states collect representative data and evaluate and improve the representativeness of their data before, during, and after data collection.