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Download full textAnnie E. Casey Foundation, 2020
Advances in data science and computing power are rapidly shifting the opportunities available to citizens, changing how systems interact with almost every aspect of our lives: as students, job seekers, patients, citizens and consumers. This report presents the Annie E. Casey Foundation's point of view on the use of advanced analytics in social…
Descriptors: Data Analysis, Public Policy, Family Programs, Social Problems
Peer reviewed
Direct linkAntonio A. Morgan-López; Catherine P. Bradshaw; Rashelle J. Musci – Grantee Submission, 2023
This paper serves as an introduction to the special issue of Prevention Science entitled, "Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science." This special issue includes a collection of original papers from multiple disciplines that apply individual-level data…
Descriptors: Prevention, Depression (Psychology), Intervention, Innovation
Ross, Christine; Sama-Miller, Emily; Roberts, Lily – Administration for Children & Families, 2018
The "Integrated Approaches to Supporting Child Development and Improving Family Economic Security" project was conducted by Mathematica Policy Research and Northwestern University for the Office of Planning, Research and Evaluation (OPRE), in the Administration for Children and Families (ACF) at the U.S. Department of Health and Human…
Descriptors: Well Being, Family Programs, Family Income, Children
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
Jialing, Han; Yong, Gao; Yan, Zhang; Chengming, Han – Chinese Education & Society, 2017
The authors analyze survey data from four groups of children (urban children, migrant children, rural left-behind children, and ordinary rural children) to explore their social resource access with respect to educational resources, health resources, and family support. The study finds that urban children are advantaged in all three areas compared…
Descriptors: Rural Urban Differences, Extension Education, Educational Resources, Community Resources
Center for IDEA Early Childhood Data Systems (DaSy), 2017
The State Family Outcomes Measurement System Framework (S-FOMS) is a framework originally developed by the Early Childhood Outcomes (ECO) Center that identifies seven key components of a high-quality family outcomes measurement system at the state level. This document contains background information about the framework's seven components, 15…
Descriptors: Measurement Techniques, Family Programs, Satisfaction, Family Involvement
Center for IDEA Early Childhood Data Systems (DaSy), 2017
The State Family Outcomes Measurement System Framework (S-FOMS) is a framework originally developed by the Early Childhood Outcomes Center that identifies seven key components of a high-quality family outcomes measurement system at the state level. The seven components are: (1) Purpose; (2) Data collection and transmission; (3) Analysis; (4)…
Descriptors: Data Collection, Data Analysis, Measurement Techniques, Early Childhood Education
