A new report, Early Childhood Data: Responding to COVID-19 and Building for the Future, was released today by the Data Quality Campaign and Foresight Law + Policy.
Tag Archives: Data Quality
Take a Look at Your Child Outcomes Data Profile
Having high-quality child outcomes data is more important than ever. The data are a focus of accountability in OSEP’s Results Driven Accountability Initiative. State early intervention and preschool special education programs collect and use these data to measure progress towards program-level and system-wide outcomes.
Collecting High Quality Data on the Suspension and Expulsion of Preschoolers
Conference: STATS-DC Data Conference Date: July 2019 Presenters: Kerry Friedman, Lisa Backer, and Susan Zeiders Preschool children are expelled at three times the rate of K-12 students with African-American children and boys expelled at disproportionate rates. States have been implementing strategies to address these troubling statistics but collecting reliable data is challenging. There are no common […]
Using Family Survey Data to Measure and Improve Early Intervention Systems and Services
Conference: International Society on Early Intervention Conference Date: June 2019 Presenters: Kathy Hebbeler and Christina Kasprzak How do early intervention programs measure and improve outcomes for families served? This poster describes the survey methods used by the U.S. states, ten years of national family data, and the challenges and successes states have experienced with using family […]
Embrace the Data Culture!
Author: Haidee Bernstein, DaSy This is the first of a two-part blog. The main goals of these blogs are to (1) promote a greater understanding of what it means to have a data culture and (2) let you know where to find information about creating a data culture. It’s another day at work, and today […]
Evaluating Implementation of Evidence-Based Practices: Tips for Improving Quality and Feasibility
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 PowerPoint
Excel calculator for computing the Number and Percentage of Infants and Toddlers who did not Receive Early Intervention Services for at Least Six Months
This Excel tool can be used to compute the difference between valid entry and exit dates for children receiving early intervention services and count the number of children with less than or more than 6 months of service. The tool will generate a count of the number of infants and toddlers who were in the […]
Guidance for computing the Number and Percentage of Infants and Toddlers who did not Receive Early Intervention Services for at Least Six Months
This Word document provides guidance for states that can support the calculation of the Number and Percentage of Infants and Toddlers who Received Early Intervention Services for at Least Six Months. The guidance provides information about data requirements, assumptions, and data quality checks. The tool takes into account the expected variability in how states define […]
Early Childhood Data in Action
This November 2018 report from the National Institute for Children’s Health Quality (NICHQ) and the Center for the Study of Social Policy offers case studies from Indianola, Mississippi; Ventura County, California; and Philadelphia, Pennsylvania using their early childhood data in clear and important ways to tailor more effective interventions and yield better results. Key themes […]
Using Data You Can Trust Improving Survey Response Rates
States employ survey methods to collect data about family outcomes and support their SSIP evaluations. Low response rates hinder states’ ability to analyze data. Furthermore, development of clear and concise survey methodology facilitates collection and analysis of meaningful data. Participants will learn of advantages and disadvantages of different survey methodology and methods for increasing response […]