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Using an intersectional framework, this study investigated whether race and gender alone or the intersection of race and gender predicted the educational attainment of 429 maltreated youth involved with the U.S. child welfare system.
This study aims to facilitate further identification of the consequences of parental burnout for the parents themselves, their spouses and their child(ren).
The objective of this study was to assess the impact of voluntary participation in an established statewide home-visiting program for socially high-risk families on child maltreatment as identified by Child Protective Services (CPS).
This report from the Global Social Service Workforce Alliance highlights the many ways that the social service workforce positively impacts the lives of children and families affected by violence.
This webinar from Child Family Community Australia (CFCA) was recorded on 14 March 2018. It explored the implications of recent research on women's and children’s experiences of family violence and inter-parental conflict.
This paper provides an overview of neglect as a phenomenon and explores some of these challenges for and to practice.
In this summative report from Young Lives, an international study of childhood poverty, authors Kirrily Pells and Virginia Morrow highlight the study’s key findings on violence affecting children, exploring what children say about violence, how it affects them, and the key themes that emerge from a systematic analysis of the children’s accounts from study countries of Ethiopia, India, Peru and Vietnam.
This report from UNICEF assesses the world’s performance towards meeting the 2030 Sustainable Development Goals (SDGs) to date, focusing on 44 indicators that directly concern 2030’s most important constituency: children.
This final report presents key learning, findings, and results of the “Children in Moldova are Cared for in Safe and Secure Families” (Children in Moldova) project.
Child welfare agencies are tasked with investigating allegations of child maltreatment and intervening when necessary. Researchers are turning to the field of predictive analytics to optimize data analysis and data-driven decision making. This paper examines the utility of statistical algorithms in predictive analytics.