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 […]
Tag Archives: Data Informed Decision Making
Data-based Practitioners: How to Use Data for Decision Making
State Administrator Data-Driven Decision Making in Early Intervention
This 2016 poster describes a qualitative interview study to explore the use of data to make decisions by state Part C Coordinators. The state goal was to better understand how […]
Using Fiscal Data to Inform a State’s Part C Allocation Methodology
This 2016 document is designed to provide state Part C staff with guidance on using fiscal data to analyze and revise their allocation methodology. Allocation methodology is the process – […]
Use of Data for Fiscal Management of State Part C Systems
This 2015 document is designed to increase the knowledge and skills of lead agency staff regarding the use of data for appropriate fiscal management of Part C. It provides an […]
Using Fiscal Data to Inform a State’s Part C Allocation Methodology
This 2015 collaborative webinar with ECTA Center is the second of two sessions on fiscal data. The first, Use of Fiscal Data for Budget Development and Management, addresses the importance […]
Self-Assessment for ECTA and DaSy Frameworks
Developed by DaSy and ECTA, the self-assessment is an Excel-based tool that provides a structure for state Part C and Section 619/Preschool programs to record the current status of their state system and set priorities for improvement.
Data in Head Start and Early Head Start: Creating a Culture that Embraces Data
This interactive learning module is shares how to create a culture that embraces the use of data to inform decision making in their programs. Published by: National Center on Program […]
Alaska: Improving Referrals of Victims of Maltreatment to the IDEA Part C Program
This 2015 state spotlight document describes how Alaska Part C improved the referral of children from Child Welfare to the Individuals with Disabilities Education Act (IDEA) Part C Program by […]
Improving Early Education Programs through Data-based Decision Making
This working paper presents five options for studying program effectiveness for state-funded preschool programs, including providing estimated costs for each evaluation. Published by: National Institute for Early Education Research (NIEER) Improving […]