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Early math trajectories: Low-income children’s mathematics knowledge from ages 4 to 11

Individual Author: 
Rittle-Johnson, Bethany
Hofer, Kerry G.
Fyfe, Emily R.
Farran, Dale C.

Early mathematics knowledge is a strong predictor of later academic achievement, but children from low-income families enter school with weak mathematics knowledge. An early math trajectories model is proposed and evaluated within a longitudinal study of 517 low-income American children from ages 4 to 11. This model includes a broad range of math topics, as well as potential pathways from preschool to middle grades mathematics achievement. In preschool, nonsymbolic quantity, counting, and patterning knowledge predicted fifth-grade mathematics achievement.

Precision in measurement: Using state-level Supplemental Nutrition Assistance Program and Temporary Assistance for Needy Families administrative records and the Transfer Income Model (TRIM3) to evaluate poverty measurement

Individual Author: 
Shantz, Kathryn
Fox, Liana E.

Policy leaders look to quality data and statistics to help inform and guide programmatic decisions. As a result, assessing the quality and validity of major household surveys in capturing accurate program participation is essential. One method for evaluating survey quality is to compare self-reported program participation in surveys to administrative records from the program itself. In this paper, we are interested in understanding two issues.

Striving for independence: Two-year impact findings from the Youth Villages Transitional Living Evaluation

Individual Author: 
Valentine, Erin Jacobs
Skemer, Melanie

The Youth Villages program sought an independent evaluation of its Transitional Living program — now known as “YVLifeSet” — which is one example of an “independent living” program. The Transitional Living program aims to help young men and women make the transition to adulthood by providing intensive, individualized, and clinically focused case management, support, and counseling.

Leading the way: Characteristics and early experiences of selected Early Head Start programs. Volume II: Program profiles

Individual Author: 
Berlin, Lisa J.
Kisker, Ellen Eliason
Love, John M.
Raikes, Helen
Boller, Kimberly
Paulsell, Diane
Rosenberg, Linda
Coolahan, Kathleen

This volume and its companion volumes are the first of two reports designed to share the experiences of the 17 Early Head Start research programs with others. The first report focuses on the programs early in their implementation (fall 1997), approximately two years after they were funded and one year after they began serving families. Volume I examines the characteristics and experiences of the 17 research programs from a cross-site perspective, focusing on the similarities and differences among the programs in fall 1997.

SNAP E&T and WIOA: Partnering to raise skills and employment

Individual Author: 
Strawn, Julie

SNAP E&T and State and local workforce agencies share a common goal of helping low-income individuals gain the skills necessary to qualify for jobs leading to self-sufficiency. A March 2016 joint letter issued by the Department of Agriculture’s Food and Nutrition Service (FNS) and the Department of Labor’s (DOL) Employment and Training Administration (ETA) encouraged SNAP and the workforce system to collaborate on shared strategies that connect SNAP participants to employment and training services through American Job Centers (AJCs).

Superutilization of child welfare, Medicaid, and other services

Individual Author: 
Weigensberg, Elizabeth
Cornwell, Derekh
Leininger, Lindsey
Stagner, Matthew
LeBarron, Sarah
Gellar, Jonathan
MacIntyre, Sophie
Chapman, Richard
Maher, Erin J.
Pecora, Peter J.
O'Brien, Kirk

Mathematica and Casey Family Programs have published the final report from a project linking child welfare and Medicaid data to conduct analyses to understand types of high service use and to identify factors predictive of high service use among children in foster care. The study identifies distinct types of high service users and how both child welfare and Medicaid data can be used to predict which children may be likely to experience high degrees of placement instability.

Substance use, the opioid epidemic, and the child welfare system: Key findings from a mixed methods study

Individual Author: 
Radel, Laura
Baldwin, Melinda
Crouse, Gilbert
Ghertner, Robin
Waters, Annette

This study examined the relationship between parental substance misuse and child welfare caseloads, which began rising in 2012 after more than a decade of decline. We examined county level variation in both phenomena and qualitative interviews documented the perspectives and experiences of local professionals in the child welfare agency, substance use disorder treatment programs, family courts, and other community partners in 11 communities across the country.