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    An IDC Resource

    Format: Toolkits

    Success Gaps Toolkit: Addressing Equity, Inclusion, and Opportunity

    The Success Gaps Toolkit presents a process for using data and the Success Gap Rubric to identify root causes of gaps between groups of children in districts or schools. These success gaps occur when the education system is not meeting the needs of all groups of children and outcomes for some groups are different than outcomes for most groups. The toolkit, with its process and materials, provides a manageable and defined way for districts or schools to identify success gaps that are present and their root causes and then make a plan for addressing the gaps. The success gaps may be the graduation rate of students who are English learners compared to the rate of all other children, the out-of-school suspension rate of children who are Black compared to the rate of all other children, the identification of children who are Hispanic as children with specific learning disabilities compared to the identification of all other children, and other gaps.

    An IDC Resource

    Format: Toolkits and Templates

    Part C IDEA Data Processes Toolkit

    Using the Part C 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. The toolkit contains an overview of the toolkit, Data Collection Protocols, SPP/APR Indicator Protocols, a State Landscape Protocol, a Local EI Program Determinations Protocol, a Data Collections Calendar, and additional resources that provide a structure for documenting data processes. The Data Collection Protocols are in Word, and states can tailor them meet their states' specific documentation needs.

    An IDC Resource

    Format: Toolkits and Templates

    Part C Exiting Toolkit

    The Part C Exiting Toolkit allows for one-stop “shopping” for Part C data managers and coordinators. It provides (1) resources for documenting the exiting process, (2) resources to check exiting data, (3) a link to the Part C Exiting Counts app, and (4) other great resources. It is a great tool for both new and experienced staff.

    An IDC Resource

    Format: Quick Reference

    Comprehensive IDC Part B Tool & Product List

    This resource is a list of IDC produced Part B tools and products arranged by topic area. The list provides a brief description and link to each tool or product. Users can quickly scan for useful tools and products to ensure that they have explored all of the many Part B available resources that IDC has produced.

    An IDC Resource

    Format: Toolkits

    Why, What, Who, and HOW: Improving State Reporting of Local Performance

    This toolkit provides an overview of the public reporting requirements in IDEA Section 616 and provides suggestions to present local performance in easy-to-understand formats. SEAs and Part C lead agencies (LAs) must report on the annual performance of their LEAs and early childhood local programs on the targets in the SPP. The toolkit includes the Section 616 legislation and provides information about the why, what, who, and how of state reporting of local performance data.

    An IDC Resource

    Format: Toolkits

    Making the Most of Parent Involvement Data: Improving Quality and Enhancing Understanding

    This toolkit is designed to assist states as they plan for and carry out their efforts to collect, report, analyze, and use high-quality parent and family involvement data. It defines key concepts; offers guidance on ways to improve the quality of the collection, analysis, and use of parent and family involvement data; and provides resources and tools to help states in their efforts parent involvement data efforts.

    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