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    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: Toolkits and Templates

    Educational Environments 3-5 Data Template: Calculating Local Data Worksheet

    This data template provides SEAs and LEAs the opportunity to see in real-time the percentages of their children ages 3-5 attending and receiving services in specific educational environments. When the LEA 618 educational environments data is simply entered on the data tab, the percentages will be calculated and displayed on the percentage tab. The use of this tool will allow SEAs to compare the percentages of children within educational environments across LEAs.

    An IDC Resource

    Format: Presentations

    Using State Data to Inform Parent Center Work

    The purpose of this presentation was to introduce PTI and CPRC directors and staff to the IDEA data collected and reported by state education agencies and discuss how these data can be used to inform many of the fourteen priority topics for the PTI/CPRC network. These priorities were  identified in the most recent OSEP requests for proposals for PTI and CPRC funding.

    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