This report summarizes research on the processes, facilitators, and impediments to data use for continuous quality improvement; develops a conceptual framework representing the elements of data use for continuous quality improvement; provides linkages between the disciplines from which the literature was drawn and the Head Start field; and suggests areas for future research. Data Use […]
Category Archives: 2015
SLDS Webinar: Processes for Handling Multiple IDs to Ensure Data Quality
This 2015 webinar from the Statewide Longitudinal Data Systems Grant Program featured representatives from Kentucky, Washington State, and Michigan discussing their different processes for resolving multiple IDs, as well as how they review and improve those processes. View SLDS Webinar Archive
Understanding Phase II Evaluation Requirements (April 2015)
This presentation reviews OSEP’s requirements for the evaluation of the SSIP. Published by: IDEA Data Center (IDC) View Understanding Phase II Evaluation Requirements Presentation
Building State Capacity about Key Measurement and Evaluation Issues (April 2015)
This workshop focused on three IDC SSIP white papers: Implications of Growth Modeling for SSIP; Performance Indicators As a Tool for Measuring Progress Toward a SIMR; and Considerations for Making Changes to SIMR Baseline and Targets. During the workshop, participants were able to talk to and learn from participants from other states and provide input […]
Tools for SSIP Evaluation – System Framework and Benchmarks of Quality (April 2015)
This presentation provides practical suggestions and guidance to help states begin their evaluation work. Participants will have the opportunity to learn about and use tools for (1) building their evaluation team and (2) measuring improvements to system infrastructure. Published by: IDC Tools for SSIP Evaluation: System Framework and Benchmarks of Quality IDC Resource Library on […]
Translating Evaluation Questions into Detailed Analytical Questions (April 2015)
This presentation focuses on breaking down and/or rephrasing evaluation questions, perhaps into several questions, that clearly communicate the details needed for data analysts to understand what you want to analyze and how. Clearly articulated analytical questions will help you determine what data are needed to answer them and more efficiently and effectively obtain the answers […]
SSIP Phase II Process Guide
The focus of Phase II of the SSIP is on building state capacity to support Early Intervention Service (EIS) programs and/or EIS providers with the implementation of evidence-based practices (EBPs) that will lead to measurable improvement in the State-identified Measurable Result(s) (SIMR) for infants and toddlers with disabilities and their families. The SSIP Phase II […]
GAO Report on PFS
This is a 2015 Government Accountability Office (GAO) report examining how selected PFS projects have been structured and what potential benefits they can provide, how contracts have been structured to identify potential project risks, the potential roles for the federal government’s involvement in PFS projects, and recommendations to federal agencies about how to identify and […]
Using benefit-cost analysis to scale up early childhood programs through Pay-for-Success financing
This 2015 journal article describes social impact borrowing as a new method for financing public sector, outlines contribution of benefit cost analysis (BCA), and discusses how social impact financing can promote scaling evidence-based programs like Child-Parent Centers and other early childhood programs. Citation: Temple, Judy A. & Reynolds, Arthur J. (2015). Using benefit-cost analysis to […]
Pay for Success in the U.S. – Summaries of Financed Projects
This 2015 resource contains a summary from the Institute for Child Success about eight current PFS-funded projects across a range of policy areas/service sectors. These are about PFS projects that have been implemented in the Untied States as of December 2015. Golden, M., Garvey, M., Carolan, M. & Nagendra, B. (2015). Pay for Success in […]