IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v35y2013i1p151-161.html
   My bibliography  Save this article

Actuarial risk assessment in child protective services: Construction methodology and performance criteria

Author

Listed:
  • Coohey, Carol
  • Johnson, Kristen
  • Renner, Lynette M.
  • Easton, Scott D.

Abstract

To prevent the recurrence of child maltreatment, actuarial risk assessment can help child protective services (CPS) workers make more accurate and consistent decisions. However, there are few published articles describing construction methodologies and performance criteria to evaluate how well actuarial risk assessments perform in CPS. This article describes methodology to construct and revise an actuarial risk assessment, reviews criteria to evaluate the performance of actuarial tools, and applies a methodology and performance criteria in one state.

Suggested Citation

  • Coohey, Carol & Johnson, Kristen & Renner, Lynette M. & Easton, Scott D., 2013. "Actuarial risk assessment in child protective services: Construction methodology and performance criteria," Children and Youth Services Review, Elsevier, vol. 35(1), pages 151-161.
  • Handle: RePEc:eee:cysrev:v:35:y:2013:i:1:p:151-161
    DOI: 10.1016/j.childyouth.2012.09.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740912003684
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2012.09.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shlonsky, Aron & Wagner, Dennis, 2005. "The next step: Integrating actuarial risk assessment and clinical judgment into an evidence-based practice framework in CPS case management," Children and Youth Services Review, Elsevier, vol. 27(4), pages 409-427, April.
    2. MacKenzie, Michael J. & Kotch, Jonathan B. & Lee, Li-Ching, 2011. "Toward a cumulative ecological risk model for the etiology of child maltreatment," Children and Youth Services Review, Elsevier, vol. 33(9), pages 1638-1647, September.
    3. Simpson, Douglas G. & Imrey, Peter B. & Geling, Olga & Butkus, Susan, 2000. "Statistical estimation of child abuse rates from administrative databases," Children and Youth Services Review, Elsevier, vol. 22(11-12), pages 951-971.
    4. Camasso, Michael J. & Jagannathan, Radha, 2000. "Modeling the reliability and predictive validity of risk assessment in child protective services," Children and Youth Services Review, Elsevier, vol. 22(11-12), pages 873-896.
    5. Baird, Christopher & Wagner, Dennis, 2000. "The relative validity of actuarial- and consensus-based risk assessment systems," Children and Youth Services Review, Elsevier, vol. 22(11-12), pages 839-871.
    6. Dettlaff, Alan J. & Rivaux, Stephanie L. & Baumann, Donald J. & Fluke, John D. & Rycraft, Joan R. & James, Joyce, 2011. "Disentangling substantiation: The influence of race, income, and risk on the substantiation decision in child welfare," Children and Youth Services Review, Elsevier, vol. 33(9), pages 1630-1637, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emily Hurren & Anna Stewart & Susan Dennison, 2017. "New Methods to Address Old Challenges: The Use of Administrative Data for Longitudinal Replication Studies of Child Maltreatment," IJERPH, MDPI, vol. 14(9), pages 1-12, September.
    2. Schwartz, Ira M. & York, Peter & Nowakowski-Sims, Eva & Ramos-Hernandez, Ana, 2017. "Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience," Children and Youth Services Review, Elsevier, vol. 81(C), pages 309-320.
    3. Semanchin Jones, Annette & Logan-Greene, Patricia, 2016. "Understanding and responding to chronic neglect: A mixed methods case record examination," Children and Youth Services Review, Elsevier, vol. 67(C), pages 212-219.
    4. Shipe, Stacey L. & Uretsky, Mathew C. & Shaw, Terry V., 2022. "Family outcomes in alternative response: A multilevel analysis of recurrence," Children and Youth Services Review, Elsevier, vol. 132(C).
    5. Jenkins, Brian Q. & Tilbury, Clare & Hayes, Hennessey & Mazerolle, Paul, 2019. "Do measures of child protection recurrence obscure the differences between reporting and substantiation?," Children and Youth Services Review, Elsevier, vol. 104(C), pages 1-1.
    6. Johnson, Will & Clancy, Thomas & Bastian, Pascal, 2015. "Child abuse/neglect risk assessment under field practice conditions: Tests of external and temporal validity and comparison with heart disease prediction," Children and Youth Services Review, Elsevier, vol. 56(C), pages 76-85.
    7. van der Put, Claudia E. & Assink, Mark & Stams, Geert Jan J.M., 2016. "Predicting relapse of problematic child-rearing situations," Children and Youth Services Review, Elsevier, vol. 61(C), pages 288-295.
    8. Johanna Caldwell & Vandna Sinha, 2020. "(Re) Conceptualizing Neglect: Considering the Overrepresentation of Indigenous Children in Child Welfare Systems in Canada," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(2), pages 481-512, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schwartz, Ira M. & York, Peter & Nowakowski-Sims, Eva & Ramos-Hernandez, Ana, 2017. "Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience," Children and Youth Services Review, Elsevier, vol. 81(C), pages 309-320.
    2. van der Put, Claudia E. & Assink, Mark & Stams, Geert Jan J.M., 2016. "Predicting relapse of problematic child-rearing situations," Children and Youth Services Review, Elsevier, vol. 61(C), pages 288-295.
    3. Gambrill, Eileen & Shlonsky, Aron, 2000. "Risk assessment in context," Children and Youth Services Review, Elsevier, vol. 22(11-12), pages 813-837.
    4. Beth Coulthard & John Mallett & Brian Taylor, 2020. "Better Decisions for Children with “Big Data”: Can Algorithms Promote Fairness, Transparency and Parental Engagement?," Societies, MDPI, vol. 10(4), pages 1-16, December.
    5. Schwalbe, Craig, 2004. "Re-visioning risk assessment for human service decision making," Children and Youth Services Review, Elsevier, vol. 26(6), pages 561-576, June.
    6. Lee, Shawna J. & Sobeck, Joanne L. & Djelaj, Valentina & Agius, Elizabeth, 2013. "When practice and policy collide: Child welfare workers' perceptions of investigation processes," Children and Youth Services Review, Elsevier, vol. 35(4), pages 634-641.
    7. Ryan, Scott & Wiles, Debra & Cash, Scottye & Siebert, Carl, 2005. "Risk assessments: empirically supported or values driven?," Children and Youth Services Review, Elsevier, vol. 27(2), pages 213-225, February.
    8. Keddell, Emily, 2014. "Theorising the signs of safety approach to child protection social work: Positioning, codes and power," Children and Youth Services Review, Elsevier, vol. 47(P1), pages 70-77.
    9. Johanna Caldwell & Vandna Sinha, 2020. "(Re) Conceptualizing Neglect: Considering the Overrepresentation of Indigenous Children in Child Welfare Systems in Canada," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(2), pages 481-512, April.
    10. Shlonsky, Aron & Gambrill, Eileen, 2001. "The assessment and management of risk in child welfare services," Children and Youth Services Review, Elsevier, vol. 23(1), pages 1-2, January.
    11. de Haan, Irene & Connolly, Marie, 2014. "Another Pandora's box? Some pros and cons of predictive risk modeling," Children and Youth Services Review, Elsevier, vol. 47(P1), pages 86-91.
    12. Simon, James David & D'Andrade, Amy & Hsu, Hsun-Ta, 2021. "The intersection of child welfare services and public assistance: An analysis of dual-system involvement and successful family preservation completion on a maltreatment re-report," Children and Youth Services Review, Elsevier, vol. 127(C).
    13. Emily Keddell, 2022. "Mechanisms of Inequity: The Impact of Instrumental Biases in the Child Protection System," Societies, MDPI, vol. 12(3), pages 1-19, May.
    14. Boatswain-Kyte, Alicia & Esposito, Tonino & Trocmé, Nico & Boatswain-Kyte, Alicia, 2020. "A longitudinal jurisdictional study of Black children reported to child protection services in Quebec, Canada," Children and Youth Services Review, Elsevier, vol. 116(C).
    15. Lavi, Iris & Katz, Carmit, 2016. "Neglected voices: Lessons from forensic investigation following neglect," Children and Youth Services Review, Elsevier, vol. 70(C), pages 171-176.
    16. Cénat, Jude Mary & McIntee, Sara-Emilie & Mukunzi, Joana N. & Noorishad, Pari-Gole, 2021. "Overrepresentation of Black children in the child welfare system: A systematic review to understand and better act," Children and Youth Services Review, Elsevier, vol. 120(C).
    17. Rolock, Nancy & Jantz, Ian & Abner, Kristin, 2015. "Community perceptions and foster care placement: A multi-level analysis," Children and Youth Services Review, Elsevier, vol. 48(C), pages 186-191.
    18. Geimer, Jennifer L. & Leach, Desmond J. & DeSimone, Justin A. & Rogelberg, Steven G. & Warr, Peter B., 2015. "Meetings at work: Perceived effectiveness and recommended improvements," Journal of Business Research, Elsevier, vol. 68(9), pages 2015-2026.
    19. repec:cup:judgdm:v:9:y:2014:i:2:p:114-128 is not listed on IDEAS
    20. Elgin, Dallas J., 2018. "Utilizing predictive modeling to enhance policy and practice through improved identification of at-risk clients: Predicting permanency for foster children," Children and Youth Services Review, Elsevier, vol. 91(C), pages 156-167.
    21. Charles F. Manski, 2016. "Credible Ecological Inference for Personalized Medicine: Formalizing Clinical Judgment," NBER Working Papers 22643, National Bureau of Economic Research, Inc.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:35:y:2013:i:1:p:151-161. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.