Designed to provide assistance to IDEA Part C Data Managers and other users of the EDFacts Metadata and Process System (EMAPS). This tool offers a way to ensure accuracy of IDEA Part C Child Count and Settings data prior to official submission. The Part C Child Count and Setting Data Tool allows the state to enter their data and have any errors flagged. Corrections can then be made prior to data entry and submission in EMAPS.
This tool can be used to chart the child outcomes summary statements (Indicator C3/B7) over time. It displays trends in child outcomes in the form of line charts, which makes it easy to track progress and interpret the data.
Are you looking for an easy tool to help you begin analyzing your data? In this video tutorial series, you will learn about the pivot table, a powerful tool in Microsoft Excel that lets you quickly slice and dice your data in numerous ways. You will never look at data analysis the same way again!
This is a resource for Part C and Part B 619 program staff looking to share or link their IDEA Part C to Part B 619 transition notification data. This resource contains both an example use case and a sample template for states and territories to use.
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Literacy: Evaluating the Implementation of Evidence-Based Practices Looker Studio Video Tutorial Series Using Pivot Tables for […]
DEC. Deccember 2023. This DEC conference presentation highlights the FFY2021 national child outcomes data as well as how one preschool special education program uses these data at the state and local levels.
Stay focused with these quick tips for State Performance Plan/Annual Performance Report (SPP/APR) season for Part C Data Managers, Coordinators and staff.
DEC. Deccember 2023. This presentation demonstrates ways to apply an intersectional approach to data analysis. DaSy/ECTA staff offer a grounding definition of the approach, highlight various examples of intersectional narratives in everyday media, and walk through a specific example of intersectional analysis of child outcomes data.
This quick reference guide has important dates, links, and resources in one place to help with IDEA Part C data requirements.
Overview Data Leadership Competencies Data Foundations Data Analysis Data Use & Sharing Introduction Data Literacy: Evaluating the Implementation of Evidence-Based Practices Looker Studio Video Tutorial Series Using Pivot Tables for […]
