What questions should a high-quality state data system be able to answer?
Guidance to support decision-making for states that wish to develop or enhance an IDEA Part C data system.
This brief is written for early childhood researchers, program developers, and funders and seeks to introduce the importance of measuring implementation at multiple system levels and proposes tools for doing so, including a cascading logic model that makes connections between the outcomes and resources of different systems. The brief uses two illustrative examples: (1) a […]
This webinar introduces the framework self-assessment comparison tool which can be used to compare quality indicators and elements of quality across one or more system components/sub-components over two or three points in time. Presenters share information on using the tool, as well as a live demo. Presented by Robin Nelson (DaSy Center) in June 2016 […]
The Excel-based Self-Assessment Comparison Tool is intended to provide states with a mechanism to examine changes over time in the implementation of one or more components/subcomponents of the ECTA and DaSy Data Frameworks. The Self-Assessment Comparison Tool shows changes in the Quality Indicator (QI) and the Elements of Quality (EQ) ratings between two points in […]
This 2016 document provides an overview of process modeling and data modeling and explains the value of each in the development or major enhancement of data systems. Process modeling and data modeling are important activities in data system development and particularly valuable for creating business requirements. By Robin Nelson & Bruce Bull Building a Better […]
This 2015 webinar describes the technical considerations needed to make informed decisions about integrating early intervention and early childhood special education data into an Early Childhood Integrated Data System (ECIDS). Presented by Missy Cochenour, Jeff Sellers, & Bill Blandford in November 2015 Webinar Slides Webinar Recording