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    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: 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.

    Format: Presentations

    Equity, Inclusion, and Opportunity: Addressing Success Gaps via the SSIP Process

    Presenters introduced a research-based guidance document and self-assessment rubric designed by OSEP's Disproportionality Priority Team to help districts and schools identify the root causes of "success gaps" for some groups of students, thereby helping to improve and equalize results for all students. As an example, presenters used Georgia's SSIP process, focused on graduation for students with disabilities.

    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