Authors: Bruce Bull and Denise Mauzy Data, data, everywhere. And how do we get that data to answer our questions? Data from other sources can sometimes help. You can share, link, and/or integrate data from other sources with your Part C and Part B 619 data to answer critical questions1 that cannot otherwise be answered. […]
Look! Think! Act! is a simple process for state and local program leaders to use data to make organizational and program decisions.
The "SPP/APR Basics, What You Need to Know" training series is a collection of self-directed modules that provide a basic understanding of the IDEA Part C and Part B 619 State Performance Plan/Annual Performance Report (SPP/APR) indicators and their requirements.
This DaSy tip sheet series provides concise guidance for collecting and analyzing high-quality data on the implementation of evidence-based practices.
This 2015 document was developed to help technical assistance (TA) providers and state staff define and limit the scope of data analysis for program improvement efforts, including the State Systemic Improvement Plan (SSIP); develop a plan for data analysis; document alternative hypotheses and additional analyses as they are generated; and summarize findings and document results. […]
This six-step inquiry process helps states improve educational results and functional outcomes for children with disabilities while ensuring compliance with Individuals with Disabilities Education Act (IDEA) through state monitoring activities.
The DaSy toolkit is a resource containing information, guidance, and templates to help Part C and Part B 619 program staff build effective data teams and support conditions for a culture of data use at the state and local levels. The toolkit is organized around key steps to building a culture of data use in your state or local team. Each step includes an overview, considerations and data team resources (e.g., videos, infographics, templates, and blogs), and tips for how to use resources included in each section. As agencies use the data culture tools contained here, they will be able to 1) increase the participation and focus of their data teams and 2) review and make improvements to data quality and the processes used to gather, monitor, analyze, and use data.
The Early Childhood Data Use Assessment Tool is designed to identify and improve data use skills among early childhood education (ECE) program staff so they can better use data to inform, plan, monitor, and make decisions for instruction and program improvement.
This DaSy report 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 […]
Conference: Division for Early Childhood’s (DEC) 36th Annual International Conference on Young Children with Special Needs and Their Families Date: January 2021 Presenters: Jennifer Barrett-Zitkus, Christina Kasprzak, Kathleen Hebbeler, Cornelia Taylor, Carol Maliszewski, and Jon VanOeveren Come join us in examining the current national data and hear from a state about how they are using […]