Innovative Methods in Child Maltreatment Research and Practice : Advances in Detection, Causal Estimation, and Intervention / / edited by Chad E. Shenk |
Autore | Shenk Chad E |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (300 pages) |
Disciplina | 155 |
Collana | Child Maltreatment Solutions Network |
Soggetto topico |
Developmental psychology
Pediatrics Social psychiatry School Psychology Public health Developmental Psychology Clinical Social Work Child and Adolescence Psychology Public Health Detecció del maltractament infantil Avaluació del risc per la salut Psicologia infantil |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-33739-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Prospective Versus Retrospective Measures of Child Maltreatment and Their Relationships with Health -- Chapter 2. Addressing Contamination Bias in Child Maltreatment Research: Innovative Methods for Enhancing the Accuracy of Causal Estimates -- Chapter 3. Applying Innovative Methods to Advance the Study of Youth At-risk for Internet-initiated Victimization -- Chapter 4. Understanding Variation in Health Risks across Development and Child Welfare Involvement for Youth in Foster Care -- Chapter 5. Methods for Studying Mediating Mechanisms in Developmental and Intervention Studies of Child Maltreatment -- Chapter 6. Applying the Multiphase Optimization Strategy (MOST) to the Prevention of Child Maltreatment: A Vision for Future Multicomponent Interventions -- Chapter 7. Reducing “Missed” Cases of Pediatric Abusive Head Trauma: From Index Case to Clinical Trial -- Chapter 8. Reminiscing and Emotion Training: A Relational Intervention Approach for Preschool-Aged Children with a History of Child Maltreatment and Their Mothers -- Chapter 9. Leveraging Emotion Socialization Research: Innovative Prevention and Treatment Programming for Vulnerable Families -- Chapter 10.A Trauma-Informed Approach to the Unified Protocol for Children with Exposure to Child Maltreatment -- Chapter 11. HEAL PA: The Movement to Make Pennsylvania a Trauma-Informed and Healing-Centered State -- Chapter 12. Northampton County: Pursuing Better Child Welfare Outcomes with a Decision Aid Tool to Support Caseworkers -- Chapter 13. The Child Maltreatment T32 Training Program at Penn State: Innovation for Creating the Next Generation of Scholars in Child Maltreatment Science . |
Record Nr. | UNINA-9910768435603321 |
Shenk Chad E
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Strengthening Child Safety and Well-Being Through Integrated Data Solutions / / edited by Christian M. Connell, Daniel Max Crowley |
Autore | Connell Christian M |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (153 pages) |
Disciplina |
370.15
362.767 |
Altri autori (Persone) | CrowleyDaniel Max |
Collana | Child Maltreatment Solutions Network |
Soggetto topico |
School Psychology
Biotechnology Public health Public Health Biotecnologia Infants Detecció del maltractament infantil Notificació de maltractament infantil |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-36608-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction and Volume Overview -- Chapter 2. Leveraging Administrative Data to Understand the Scope and Impact of Maltreatment -- Chapter 3. Using Harmonized Multisystem Data to Examine Experiences of Child Welfare-Involved Children, Youth, and Families -- Chapter 4. Innovative Uses for Geographical and Spatial Data Using Linked Child Welfare Datasets -- Chapter 5. How the NCANDS and AFCARS Can Provide Insight into Linked Administrative Data -- Chapter 6. Challenges in the Use of Predictive Risk Modeling and Predictive Analytics in Child Welfare -- Chapter 7. Integrating Data to Foster Child Safety and Well-Being -- Chapter 8. Housing Insecurity in Child Welfare: Designing Fair and Efficient Data-Driven Responses -- Chapter 9. Integrating Child Welfare and Medicaid Data to Identify and Predict Superutilization of Services for Youth in Foster Care -- Chapter 10. Strengths and Limitations of Administrative Data to Inform Services and Intervention Research -- Chapter 11. How Integrated Data Helps Identify Impact and Opportunity to Intervene with Children and Families -- Chapter 12. Prospects and Challenges for Big Data, Big Science, and the Evolution of Integrated Administrative Data -- Chapter 13. Conclusion and Panel Discussion. . |
Record Nr. | UNINA-9910739472703321 |
Connell Christian M
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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