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Richard Hendra; Johanna Walter; Audrey Yu – MDRC, 2024
Government agencies collect vast amounts of administrative data in their day-to-day activities, primarily for program operations. But the information is less often used as a research tool or fully harnessed for its evidence-building potential. This brief is the fourth in a series of publications from MDRC about the Temporary Assistance for Needy…
Descriptors: Data Collection, Data Use, Evidence Based Practice, Program Administration
King, Carlise; Perkins, Victoria – Early Childhood Data Collaborative, 2020
Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…
Descriptors: Educational Finance, Financial Support, Home Visits, Early Childhood Education
Lloyd, Chrishana M.; Carlson, Julianna; Alvira-Hammond, Marta – Child Trends, 2021
This issue brief is one in a series examining timely topics that are relevant to Black families and children in the United States. The series identifies key information and opportunities for consideration by policymakers, researchers, practitioners, philanthropists, and others interested in supporting the progress of Black families and…
Descriptors: African American Family, African American Children, Public Policy, Access to Education
MDRC, 2018
This issue brief describes the programs and systems of the MDRC Center for Data Insights. Ranging from simple descriptive summaries to advanced machine learning algorithms, the Center's eight current projects aim to use institutions' increasingly rich data to provide new insights that can help refine and target their client's services: (1)…
Descriptors: Family Programs, Federal Programs, Welfare Services, State Aid
Nina Besser Doorley; Salma Elakbawy; Afet Dundar – Institute for Women's Policy Research, 2023
Earning a college degree has long been critical to unlocking many high-paying jobs -- and, as a result, to economic mobility and security. Increasingly, however, the traditional "norm" of a college student--one who enrolls straight out of high school, receives some support from their parents, lives on campus, and does not have…
Descriptors: State Policy, Educational Policy, Postsecondary Education, Student Needs
National Skills Coalition, 2020
Over half of jobs in the U.S. require training beyond high school but not a four-year degree. These skilled jobs are the backbone of America's economy, and filling them is critical to America's success in the 21st century. Every day, in communities coast to coast, working people, students, and families are looking for opportunities to get ahead.…
Descriptors: Job Skills, 21st Century Skills, Labor Force Development, Partnerships in Education
Adan, Sara – Century Foundation, 2019
While college costs have risen significantly in the past few decades, some of those cost increases can be partially mitigated by financial aid for low-income families. But many low- and moderate-income families vastly overestimate the cost of college, leading them to assume that enrolling their children in college, particularly a four-year school,…
Descriptors: Paying for College, Student Financial Aid, Data Use, Outreach Programs
Auspos, Patricia – Annie E. Casey Foundation, 2017
An integrated data system (IDS) that links information from separate administrative data systems offers policymakers, program administrators and researchers a powerful tool to analyze interactive effects across systems and make more informed decisions to improve outcomes for vulnerable families. This case study discusses how two states (Washington…
Descriptors: Data Use, Child Welfare, Foster Care, Family Programs
Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables

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