Tag Archives: Data Quality

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

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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 Link to Webinar RecordingLink to 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

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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

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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

Cover: Early Childhood Data in Action: Stories from the Field

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

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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 […]

Collecting, Analyzing, and Sharing Qualitative Data

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Qualitative data can provide valuable information that complements quantitative findings in assessing progress, identifying successes and challenges, and making adjustments to improve services. This session will share best practices in collecting, analyzing, and sharing qualitative data, and an example from Louisiana. Presenters will share resources to support qualitative methods and participants will engage in a […]