Are you looking to address disparities in early intervention and early childhood special education systems and promote more equitable practices and outcomes?
Equity in Data: Where to Start!
![Data Inquiry Cycle graphic shows an iterative sequence of six stages: planning and design for data collection, data collection, data analysis and interpretation, reporting, dissemination, and taking action](https://dasycenter.org/wp-content/uploads/2024/04/Data-Inquiry-Cycle_DaSy_03282024-150x150.png)
July 24, 2024 from 11:00am-12:00pm PT / 2:00-3:00pm ET.
Discover the new DaSy Data Inquiry Cycle resource! Join our upcoming webinar to explore the six-stage framework, from planning and designing data collection to dissemination and taking action.
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.
This guide supports Part C and Part B 619 program staff in addressing equity considerations at each stage of the data inquiry cycle. The guide incorporates key components of the DaSy Data Systems Framework and the DaSy Racial Equity Statement that can help states, territories, and tribal governments move toward more equitable practices related to program access, supports and services, and outcomes.
This podcast discusses DaSy’s new guide: The Data Inquiry Cycle and how the DaSy Center uses data to improve programs and outcomes in states across the country.
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 […]
Compute response rates for your state’s family survey data and determine if the surveys you received are representative of the target population.
Are you looking for better ways to share your publicly-reported data with stakeholders? Do you wish you had access to an easy-to-use tool to help you create engaging data displays?
This presentation included strategies generated from multiple states involved in technical assistance to improve Family Outcomes representativeness and equity.