Child Care and Early Education Research Connections

Skip to main content

Search Results

Explore our collection of gray research literature (e.g., publicly available reports and briefs published by government agencies, and for-profit and nonprofit organizations), peer-reviewed journal articles, survey instruments, webinars, and descriptions of projects funded by the Office of Planning, Research, and Evaluation. Learn more about the scope of our collection.

You can filter your results by keyword, date, resource type, topic, location (state in which the data were collected), grant (federally funded grant that supported the research), publisher, funder, and author. And you can indicate whether to include resources with data from all states, full text, and peer-reviewed research.

Displaying 1 - 4 out of 4 results
Cook Thomas D., Zhu Naixin, Klein Alice, Starkey Prentice, Thomas Jaime, December, 2020
Reports & Papers
Peer Reviewed
This study uses a within study comparison design (WSC) to conduct a novel test of how much causal bias results when researchers use a nonequivalent comparison group design type (NECGD) that combines: (a) a comparison group local to the treatment…
Sandstrom Heather, Isaacs Julia B., August, 2020
Other
As states and territories make decisions about child care policies, they may find it useful to collect data from child care providers. Existing administrative records, such as child care licensing data or workforce registries, offer answers to many…
Lester Ashlee M., Chow Jason C., Melton Theresa N., February, 2020
Reports & Papers
Peer Reviewed
Afterschool programs are designed to promote academic achievement and youth development as well as mitigate risk for students who attend. Systematic reviews have reported that afterschool programs are associated with increased academic proficiency,…
Datta A. Rupa, Ugarte Gabriel, Resnick Dean M., 2020
Reports & Papers

For most data quality assessments, we wish to determine the suitability of the data for a particular substantive analysis. In this study, we had three objectives for data quality assessment: 1) What can we learn about bias or other error in the…