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10.3280/MAL2023-003006

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Unstructured Citation

Abidin, R. R. (1995). Parenting Stress Index (3rd ed.). Odessa, FL: Psychological Assessment Resources.

Unstructured Citation

Antle, B. F., Christensen, D. N., van Zyl, M. A., & Barbee, A. P. (2012). The impact of the Solution Based Casework (SBC), practice model on federal outcomes in public child welfare. Child Abuse & Neglect, 36, 342-353.

https://doi.org/10.1016/j.chiabu.2011.10.009

Unstructured Citation

Baird, C., Wagner, D., Healy, T., & Johnson, K. (1999a). Research-based risk assessment: Adding equity to CPS decision-making. Madison, WI: Children’s Research Center.

Unstructured Citation

Baird, C., Wagner, D., Healy, T., Johnson, K. (1999b). Risk assessment in Child Protective Service: Consensus and Actuarial Model Reliability. Child Welfare League of America, 78(6), 723-748.

Unstructured Citation

Bartelink, C., van Yperen, T. A., & ten Berge, I. J. (2015). Deciding on child maltreatment: A literature review on methods that improve decision-making. Child Abuse & Neglet, 49, 142-151.

https://doi.org/10.1016/j.chiabu.2015.07.002

Unstructured Citation

Baumann, D. J., Dalgleish, L., Fluke, J., & Kern, H. (2011). The decision-making ecology. Washington, DC: American Humane Association.

Unstructured Citation

Bendenishty, R., & Chen, W. (2003). Decision making by the Child Protection Team of a Medical Center. Health & Social Work, 28(4), 284-292.

https://doi.org/10.1093/hsw/28.4.284

Unstructured Citation

Chang, J., Rhee, S., & Weaver, D. (2006). Characteristics of child abuse in immigrant Korean families and correlates of placement decisions. Child Abuse & Neglet, 30, 881-891.

https://doi.org/10.1016/j.chiabu.2006.03.002

Unstructured Citation

Cooksey, R. W. (1996). Judgment analysis: Theory, methods and application. Cambridge: Academic Press.

Unstructured Citation

Couchoud, C. G., Beuscart, J. B. R., Aldigier, J. C., Brunet, P. J., & Moranne, O. P. (2015). Development of a risk stratification algorithm to improve patient-centered care and decision making for incident elderly patients with end-stage renal disease. Kidney international, 88(5), 1178-1186.

https://doi.org/10.1038/ki.2015.245

Unstructured Citation

Cuccaro-Alamin, S., Foust, R., Vaithianathan, R., & Putnam-Hornstein, E. (2017). Risk assessment and decision making in child protective services: Predictive risk modeling in context. Children and Youth Service Review, 79, 291-298.

https://doi.org/10.1016/j.childyouth.2017.06.027

Unstructured Citation

Cummings, E. M., Davies, P. T., & Campbell, S. B. (2000). Developmental psychopathology and family process: Theory, research, and clinical implications. New York: Guilford Press.

Unstructured Citation

D’Andrade, A., Austin, M. J., & Benton, A. (2008). Risk and Safety Assessment in Child Walfare: Instrument Comparisons. Journal of Evidence-Based Social Work, Vol. 5, N.1/2, pp. 31-56.

https://doi.org/10.1300/J394v05n01_03

Unstructured Citation

Dalgleish, L. I. (1988). Decision-making in child abuse cases: Applications of social judgement theory and signal detection theory. In: B., Joyce, C.R.B. (Ed.) Human judgment: The SJT view (pp.47-72). North Holland: Elsevier.

https://doi.org/10.1016/S0166-4115(08)62178-0

Unstructured Citation

Dalgleish, L. I. (2003). Risk, needs and consequences. In: Calder, M. C. (Ed.) Assessment in childcare: A comprehensive guide to frameworks and their use (pp. 86-99). Dorset, UK: Russell House Publishing.

Unstructured Citation

Dettlaff, A., Graham, J. C., Holzman, J., Baumann, D. J., & Fluke, J. D. (2015). Development of an instrument to understand the child protective services decision-making process, with a focus on placement decisions. Child Abuse & Neglet, 49, 24-34.

https://doi.org/10.1016/j.chiabu.2015.04.007

Unstructured Citation

Dettlaff, A. J., Rivaux, S. R., Baumann, D. J., Fluke, J. D., Rycraft, J. R., & James, J. (2011). Disentangling substantiation: the influence of race, income & risk on the substantiation decision in child welfare. Children and Youth Service Review, 33, 1630-1637.

https://doi.org/10.1016/j.childyouth.2011.04.005

Unstructured Citation

Di Blasio, P., (2005). Tra rischio e protezione. La valutazione delle competenze parentali. Milano: Edizioni Unicopli.

Unstructured Citation

Di Riso, D., Salcuni, S., Chessa, D., Raudino, A., Lis, A., & Altoè, G. (2010). The Strengths and Difficulties Questionnaire (SDQ). Early evidence of its reliability and validity in a community sample of Italian children. Personality and Individual Differences, 49(6), 570-575.

https://doi.org/10.1016/j.paid.2010.05.005

Unstructured Citation

Font, S. A., & Maguire-Jack, K. (2015). Decision-making in child protective services: Influences at multiple levels of the social ecology. Child Abuse & Neglet, 47, 70-82.

https://doi.org/10.1016/j.chiabu.2015.02.005

Unstructured Citation

Goodman, R. (1997). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581-586.

https://doi.org/10.1111/j.1469-7610.1997.tb01545.x

Unstructured Citation

Grumi, S. Milani, L., & Di Blasio, P. (2017). Risk assessment in a multicultural context: Risk and protective factors in the decision to place children in foster care. Children and Youth Services Review, 77, 69-75.

https://doi.org/10.1016/j.childyouth.2017.04.009

Unstructured Citation

Guarino, A., Di Blasio, P., D'alessio, M., Camisasca, E., & Serantoni, G., (2008). Parenting Stress Index SF. Organizzazioni speciali, Firenze.

Unstructured Citation

Halverson, S. J., Kunju, L. P., & Bhalla, R. (2013) Accuracy of determining small renal mass management with risk stratified biopsies: confirmation by final pathology. J Urol., 189(2), 441-446.

https://doi.org/10.1016/j.juro.2012.09.032

Unstructured Citation

Hammond, K. (1996). Human judgment and social policy. New York: Oxford Univ. Press.

https://doi.org/10.1093/oso/9780195097344.001.0001

Unstructured Citation

Johnson, W. L. (2011). The validity and utility of the California Family Risk Assessment under practice conditions in the field: A prospective study. Child Abuse & Neglet, 35, 18-28.

https://doi.org/10.1016/j.chiabu.2010.08.002

Unstructured Citation

Kahneman, D., Frederick, S. (2005). A model of heuristic judgment. In Holyoak, K. & Morrison, B. (Eds), The Cambridge Handbook of Thinking and Reasoning (pp. 267-293). Cambridge: University Press.

Unstructured Citation

Lèveillè, S., & Chamberland, C. (2010). Toward a general model for child welfare and protection services: A meta-evaluation of international experiences regarding the adoption of the Framework for Assessment of Children in Need and Their Families (FACNF). Children and Youth Services Review. 32(7), 929-944.

https://doi.org/10.1016/j.childyouth.2010.03.009

Unstructured Citation

Milani, L., Grumi, S., Camisasca, E., Miragoli, S., Traficante, D., Di Blasio, P. (2020). Familial risk and protective factors affecting CPS professionals’child removal decision: A decision tree analysis study. Children and Youth Services Review, 109, 1-8.

https://doi.org/10.1016/j.childyouth.2019.104687

Unstructured Citation

MiSE (2020). Proposte per una strategia italiana per l’Intelligenza Artificiale. Ministero dello Sviluppo Economico, Roma. -- Disponibile online: www.mimit.gov.it.

Unstructured Citation

Munro, E. (1999). Common errors of reasoning in child protection work. Child Abuse & Neglet, 23(8), 745-758.

https://doi.org/10.1016/S0145-2134(99)00053-8

Unstructured Citation

Pasceri, G. (2021). Intelligenza artificiale, algoritmo e machine learning. La responsabilità del medico e dell’amministrazione sanitaria. Milano: Giuffré Francis Lefebvre.

Unstructured Citation

Rahbar, H., Bhayani, S., Stifelman, M., Kaouk, J., Allaf, M., Marshall, S., & Rogers, C. (2014). Evaluation of renal mass biopsy risk stratification algorithm for robotic partial nephrectomy – could a biopsy have guided management?. The Journal of urology. 192(5), 1337-1342.

https://doi.org/10.1016/j.juro.2014.06.028

Unstructured Citation

Romani, F. (2017). Elementi di Algoritmica. Pisa: University Press.

Unstructured Citation

Ross, E. H., & Kearney, C. A. (2017). Posttraumatic symptoms among maltreated youth using classification and regression tree analysis. Child Abuse & Neglet, 69, 177-187.

https://doi.org/10.1016/j.chiabu.2017.04.028

Unstructured Citation

Schwartz, I. M., York, P., Nowakowski-Sims, E., & Ramos-Hernandez, A. (2017). Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward Country experience. Children and Youth Service Review, 81, 309-320.

https://doi.org/10.1016/j.childyouth.2017.08.020

Unstructured Citation

Shlonsky, A., & Wagner, D. (2004). The next step: Integrating actuarial risk assessment and clinical judgment into an evidence-based practice framework in CPS case management. Children and Youth Service Review, 27, 409-427.

https://doi.org/10.1016/j.childyouth.2004.11.007

Unstructured Citation

Stokes, J., & Schmidt, G. (2012). Child Protection Decision Making: A Factorial Analysis Using Case Vignettes. Social Work, 57(1), 83-90.

https://doi.org/10.1093/sw/swr007

Unstructured Citation

Thurston, H., & Miyamoto, S. (2018). The use of model based recursive partitioning as an analytic tool in child welfare. Child Abuse & Neglet, 79, 293-301.

https://doi.org/10.1016/j.chiabu.2018.02.012

Unstructured Citation

Tobia, V., Gabriele, M. A., & Marzocchi, G. M. (2011), Lo Strengths and Difficulties Questionnaire (SDQ) nella scuola primaria. Il comportamento dei bambini italiani valutato dai loro insegnanti. Disturbi di attenzione e iperattività. 6(2). Trento: Ed. Erickson.