Tag Archives: Age 3-5

IFSP Information Toolkit

IFSP Information Tile

This DaSy toolkit provides resources to support decision-making for states that wish to develop or enhance an IDEA Part C data system. The toolkit details data system features such as delivered services, electronic signatures, parent portals, dashboards, and notification systems.

Evaluating Implementation of Evidence-Based Practices: Tips for Improving Quality and Feasibility

Logos: ECTA and DaSy

February 13, 2019 Learn about best practices for evaluating practice change and fidelity, including characteristics of a high-quality data collection too. Hear from one state on how they have made improvements to create a feasible evaluation plan. Presented by Debbie Shaver, Margaret Gillis, Katy McCullough and Stacy Kong in February 2019 Webinar Recording Webinar Presentation

Collecting, Analyzing, and Sharing Qualitative Data Encore Webinar

Qualitative Data

This webinar includes best practices in collecting, analyzing and sharing qualitative data with an example from Louisiana’s SSIP work. This webinar also shares resources to support qualitative methods and an activity for participants to practice analyzing qualitative data. Presented by Megan Cox, Kerry Friedman, Brenda Sharp and Debbie Shaver in January 2019 Webinar Recording Webinar […]

National Child Outcomes Results

Logos: ECTA and DaSy

October 9, 2018 In this webinar, ECTA and DaSy staff discussed results from the latest national child outcomes analysis. They reviewed national estimates, state variations in performance, and provided a quick refresher on how to interpret the state data quality reports. New TA resources related to child outcomes data collection, reporting, and use were also […]

Building a Culture of Data Use

Icon: Data Culture Resources

This webinar explored DaSy’s new Data Culture Toolkit, following the five key steps to building a culture of data use in a state or local program: Formalize your data team and its vision/purpose; assess your data use culture; prioritize your data team’s critical questions; assess and improve your data quality; and explore and use data. […]