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Over the past decade there has been a marked growth in the use of linked population administrative data for child protection research. This is the first systematic review of studies to report on research design and statistical methods used where population-based administrative data is integrated with longitudinal data in child protection settings.
This article examines the reasons that child protection has not achieved gains made within comparable professions through statistical methods.
This video is a recording of the virtual launch of the data collection protocol on children in residential care, held by UNICEF on 3 December 2020.
In response to the need for accurate and reliable statistics on children in residential care, UNICEF has developed the first-ever comprehensive methodology to collect data on children living in residential care settings by applying a number of preexisting tools from international survey programmes, such as the Multiple Indicator Cluster Surveys (MICS) and other validated instruments, to an institutional population.
This study, the largest of its kind in Canada, examines when and for whom recurring conditions of neglect were most likely to occur for all children involved with child protection in the province of Quebec over a span of fifteen years.
The purpose of this study was to assess trends in inequalities in Children Looked After (CLA) in England between 2004 and 2019, after controlling for unemployment, a marker of recession and risk factor for child maltreatment.
This article proposes a methodological workflow for data analysis by machine learning techniques that have the possibility to be widely applied in social issues.
The ECDI2030 is a tool, developed by UNICEF, to measure progress toward SDG indicator 4.2.1. It captures the achievement of key developmental milestones by children between the ages of 24 and 59 months. Mothers or primary caregivers are asked 20 questions about the way their children behave in certain everyday situations, and the skills and knowledge they have acquired.
This brief looks at the rapid rise of advanced analytics and explores the controversies, ethical challenges and opportunities that it creates for youth- and family-serving agencies. It also presents four principles for identifying effective and equitable advanced analytics tools.
This Australian research project explored the prevalence of kinship care households in Australia, with a particular focus on households headed by young kinship carers.