The data analysis path expands on prior content to include concepts ranging from statistics to data use as well as their practical application. Data analysis is critical for transforming the ever-growing volume of raw data available to early childhood programs into meaningful information that may be used for checking data quality, identifying/answering programmatic questions, and decision-making.
This DaSy tip sheet series provides concise guidance for collecting and analyzing high-quality data on the implementation of evidence-based practices.
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.
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 […]
August 27, 2019 States awarded Preschool Development Grants B-5 (PDG B-5) are actively engaged in assessing the current needs for children and their families identified as vulnerable. States are taking a comprehensive approach to exploring needs and are tasked with bringing together key partners to strengthen the diversity of input and contributions to the process. […]
Conference: National Early Childhood Inclusion Institute Date: May 2019 Presenters: Margaret Gillis, Kathleen Hebbeler This presentation includes information of basic information principles related to evaluating practice implementation, features of high-quality tools and methods for evaluating practice implementation, strategies for making evaluation of practice implementation more practical and strategies for summarizing data on practice implementation for different […]
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
Conference: Division for Early Childhood’s 34th Annual International Conference on Young Children with Disabilities Date: October 2018 Presenters: Margaret Gillis This poster summarizes approaches States are using to evaluate evidence-based practices for State Systemic Improvement Plans (SSIP). Presenters will discuss the evaluation methods, how States use data on practice implementation for program improvements, and considerations for […]
This 2018 document provides answers to commonly asked questions about age anchoring as it applies to the COS process. It is designed as a reference for practitioners, as well as supervisors, coaches, and professional development staffs. It offers guidance on how to accurately age anchor a child’s functional skills and explanations of how that guidance […]
This webinar shares information about an easy-to-use checklist built around a set of quality practices for COS team collaboration. Participants are provided with an overview of the different components of the COS-TC resource collection, as well as a demonstration of their potential uses by those who implement, supervise, or train on the COS process to […]
