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    An IDC Resource

    Format: Presentations

    Equity, Inclusion and Opportunity: Addressing Success Gaps

    The presentation introduces a research-based guidance document and self-assessment rubric designed to help districts and schools identify the root causes of "success gaps" (for example, in test scores, suspension or graduation rates, or course credits) for some groups of students, thereby helping schools to improve and equalize results for all students.

    An IDC Resource

    Format: Presentations

    Equity, Inclusion, & Opportunity: Addressing Success Gaps

    This presentation introduced the audience of local education agency personnel to new tools, the Equity, Inclusion, and Opportunity: How to Address Success Gaps Rubric and the Equity, Inclusion and Opportunity: How to Address Success Gaps White Paper. The rubric and white paper were developed by a group of OSEP-funded technical assistance providers, with input from states and other experts. The Equity, Inclusion, and Opportunity: How to Address Success Gaps tools provide a process for reducing the differences in school success among subgroups of students by providing a structure for districts or schools to examine their current practices and identify areas for improvement.

    An IDC Resource

    Format: Presentations

    Equity, Inclusion, and Opportunity in Special Education

    In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

    An IDC Resource

    Format: Recordings

    Equity, Inclusion, and Opportunity in Special Education Webinar

    In this webinar, which IDC staff presented for the University of Tennessee’s Boling Center for Developmental Disabilities, we first discuss the requirements in the IDEA related to disproportionality, describe methods for calculating disproportionality, and present data, both at the national level and for the state of Tennessee. The second part of the webinar introduces a research-based guidance document and self-assessment rubric designed to help schools and districts identify the root causes of "success gaps."

    An IDC Resource

    Format: Guides, Papers, and Reports

    Equity, Inclusion, and Opportunity: Addressing Success Gaps, White Paper

    This white paper focuses on elements of equity, inclusion, and opportunity that can minimize or eliminate success gaps among different groups of students. It provides the research-based background that guided development of a complementary rubric that schools or districts can use to systematically examine the root causes of success gaps among groups of their students. The white paper has been updated recently and now includes considerations for children as young as preschool.

    An IDC Resource

    Format: Applications and Spreadsheets

    Spreadsheet Application for Calculating Disproportionality Measures and User’s Guide: Spreadsheet Application for Calculating Disproportionality Measures (Revised)

    States can use the Excel spreadsheet application for calculating disproportionality measures and accompanying user's guide in their assessment of racial/ethnic disproportionality. The spreadsheet application calculates several disproportionality measures and the User’s Guide provides instructions for using the spreadsheet application.

    Please note this resource is currently not 508 accessible. If you need assistance with the use of this resource, please contact us at www.ideadata.org.

    An IDC Resource

    Format: Online Applications

    The Uses and Limits of Data: Supporting Data Quality With a Strong Data Chain

    This online learning module provides a general overview of how the methods and design of data collection and analysis affect interpretation of the data. The module presents the different links in the data chain (e.g., defining the question, measurement strategy) and describes how each link contributes to quality of data and data analyses. The module also includes examples from a selection of Part B and Part C SPP/APR indicators to illustrate how each step in the data chain contributes to the integrity of the data and its interpretation