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This set of resources is intended to strengthen the ability of state/territory child care administrators and their research partners to utilize administrative data to address policy-relevant early care and education research questions. The resources are designed for researchers who are new to the analysis of administrative data as well as seasoned users of administrative data who are expanding their research to include new types of administrative data (e.g., expanding to a new state or new agency).

This publication uses data from the National Survey of Early Care and Education (NSECE) to present four sets of tables, summarizing...

Child Care Research Scholars: 2017 Grantees.

Head Start Graduate Student Research Program: 2017 Research Scholars.

This brief identifies common features of programs that offer integrated services to support both the economic security of families and the development and wellbeing of children.

Focusing on programs operating as of early 2016, the brief discusses:...

ACF OPRE News Vol. 5 Issue 19 - November 9, 2017

The Latest from the Tribal Health Profession Opportunity Grants (HPOG) 2.0 Evaluation
November 9, 2017

Featured items in this issue: ...

This report describes the research and evaluation activities undertaken by our Division of Child and Family Development in 2016. Brief project descriptions provide an overview of the range of projects conducted by the Division during the year in early childhood research, child care, Head Start and Early Head Start, child welfare, and cultural diversity...

Abstracts from the CCDBG Implementation Research and Evaluation Planning Grants FY2017 - Phase I/Cohort 2 grantees...

Early Head Start University Partnerships: Building the Evidence Base for Infant/Toddler Center-based Programs 2015 Grantees & Abstracts.

This report represents the final synthesis of the Behavioral Interventions to Advance Self-Sufficiency project. Overall, the project’s findings demonstrated that applying behavioral insights to challenges facing human services programs can improve program efficiency, operations, and outcomes at a relatively low cost.