Conference: IDC Interactive Institutes on High-Quality Data & the SSIP Date: Spring 2015 Presenters: Christina Kasprzak, Megan Vinh, Anne Lucas, Jill D. Lammert, & Sharon Walsh This presentation provides practical […]
This collection provides a list of recommended existing resources for state Part C and Part B 619 staff and technical assistance (TA) providers to utilize to support evaluation planning for […]
Conference: STATS-DC Date: July 2015 Presenters: Abby Winer, Grace Kelley, & Brendan Ibe This session discusses the critical questions a high-quality data system must be able to answer and the […]
This 2015 webinar demonstrates the ECTA/DaSy Framework Self-Assessment, an Excel-based tool that provides a structure for state Part C and Section 619/Preschool programs to evaluate their state systems and set […]
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 […]
This 2015 quick reference guide is designed to assist states in understanding what information needs to be available in order for stakeholders to assist in selecting potential improvement strategies that […]
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 […]
Conference: American Public Health Association (APHA) Annual Meeting Date: November 2014 Presenter: Taletha Derrington This poster compares states in terms of cross-system linkages between early childhood intervention and special education […]
Presenters: Grace Kelley, Taletha Derrington, Christina Kasprzak & Anne Lucas This 2014 session highlights the criteria of a high quality systemic improvement plan to be developed in Phase II of […]
Presenters: Jean Shimer, Patti Fougere, Karen Walker, Karie Taylor, Abby Winer, & Tony Ruggiero This 2014 presentation shares state approaches to data analysis in Phase I of the SSIP. Through […]
