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Original Articles

Predicting Child Physical Abuse Recurrence: Comparison of a Neural Network to Logistic Regression

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Pages 93-111 | Received 14 Jun 2002, Accepted 27 Sep 2002, Published online: 08 Sep 2008

REFERENCES

  • Ammerman , R. T. , Kolko , D. J. , Kirisci , L , Blackson , T. C. and Dawes , M. A. 1999 . Child abuse potential in parents with histories of substance abuse disorder . Child Abuse & Neglect , 23 ( 12 ) : 1225 – 1238 .
  • Baird , C . 1988 . “ Development of risk assessment indices for the Alaska Department of Health and Social Services ” . In Validation research in CPS risk assessment: Three recent studies , Edited by: Tatara , T . 85 – 121 . Washington, DC : American Public Welfare Association .
  • Baird, C., Ereth, J., & Wagner, D. (1999). Research-based risk assessment: Adding equity to CPS decision-making [Online]. Available http://www.nccd-crc.org/crcindex.htm
  • Baird , C , Wagner , D , Healy , T and Johnson , K . 1999 . Risk assessment in child protective services: Consensus and actuarial model reliability . Child Welfare , 78 ( 6 ) : 723 – 748 .
  • Camasso , M. J. and Jagannathan , R . 1995 . Prediction accuracy of the Washington and Illinois risk assessment instruments: An application of receiver operating characteristic curve analysis . Social Work Research , 19 ( 3 ) : 174 – 183 .
  • Cross , S. S. , Harrison , R. F. and Kennedy , R. L. 1995 . Introduction to neural networks . The Lancet , 346 October 21 : 1075 – 1079 .
  • Daley , M. R. and Pilavin , I . 1982 . “Violence against children” revisited: Some necessary clarification of findings from a major national study . Journal of Social Service Research , 5 ( 1/2 ) : 61 – 81 .
  • Dawes , R. M. , Faust , D and Meehl , P. E. 1989 . Clinical versus actuarial judgement . Science , 243 : 1668 – 1674 .
  • DePanfilis , D and Zuravin , S. J. 1999 . Epidemiology of child maltreatment recurrences . Social Service Review , 73 ( 2 ) : 218 – 239 .
  • Flaherty, C.W. (2001). An artificial neural network model for the prediction of child physical abuse recurrences Unpublished doctoral dissertation. The University of Tennessee
  • Galletly , C. A. , Clark , C. R. and McFarlane , A. C. 1996 . Artificial neural networks: A prospective tool for the analysis of psychiatric disorders . Journal of Psychiatry and Neuroscience , 21 ( 4 ) : 239 – 247 .
  • Garson , G. D. 1998 . Neural networks: An introductory guide for social scientists , Thousand Oaks, California : Sage .
  • Gelles , R. J. 1989 . Child abuse and violence in single-parent families: Parent absence and economic deprivation . American Journal of Orthopsychiatry , 59 ( 4 ) : 492 – 501 .
  • Gordon, J.S. (1991). (Probability correct classification as a function of increasing decision thresholds). Unpublished raw data
  • Gordon, J.S. (1992). A neural network approach to the prediction of violence Unpublished doctoral dissertation. Oklahoma State University
  • Hanley , J. A. and McNeil , B. J. 1982 . The meaning and use of the area under a receiver operating characteristic (ROC) curve . Radiology , 143 : 29 – 36 .
  • Hanley , J. A. and McNeil , B. J. 1983 . A method of comparing the areas under receiver operating curves derived from the same cases . Radiology , 148 : 839 – 843 .
  • Hartzberg , J , Stanley , J and Lawrence , M . 1990 . Brainmaker user's guide and reference manual , Sierra Madre, CA : California Scientific Software . (Computer program manual)
  • Howing , P. T. , Wodarski , J. S. , Kurtz , P. D. and Gaudin , J. M. Jr. 1989 . Methodological issues in child maltreatment research . Social Work Research and Abstracts , 25 ( 3 ) : 3 – 7 .
  • Hutchinson , E. D. 1989 . Child protective screening decisions: An analysis of predictive factors . Social Work Research and Abstracts , 25 ( 3 ) : 9 – 15 .
  • Johnson , W and Clancy , T . 1988 . “ A study to find improved methods of screening and disposing of reports of child maltreatment in the emergency response program in Alameda County, California ” . In Validation research in CPS risk assessment: Three recent studies , Edited by: Tatara . 47 – 84 . Washington, DC : American Public Welfare Association . Occasional Monograph Series, No. 2
  • Johnson , W and L'Esperance , J . 1984 . Predicting the recurrence of child abuse . Social Work Research and Abstracts , 20 ( 2 ) : 21 – 26 .
  • Kolko , D. J. 1998 . CPS operations and risk assessment in child abuse cases receiving services: Initial findings from the Pittsburgh service delivery study . Child Maltreatment , 3 ( 3 ) : 262 – 275 .
  • Kruttschnitt , C , Mcleod , J. D. and Dornfeld , M . 1994 . The economic environment of child abuse . Social Problems , 41 ( 2 ) : 299 – 315 .
  • Lippman , R. P. April 1987 . “ An introduction to computing with neural nets ” . In IEEE ASSP Magazine April , 4 – 22 .
  • Lyons , P , Doueck , H. J. and Wodarski , J. S. 1996 . Risk assessment for child protective services: A review of the empirical literature on instrument performance . Social Work Research , 20 ( 3 ) : 143 – 155 .
  • March , J. S. and Curry , J. F. 1998 . Predicting the outcome of treatment . Journal of Abnormal Child Psychology , 26 ( 1 ) : 39 – 51 .
  • Marks , J and McDonald , T. P. 1989 . Risk assessment in child protective services: Predicting recurrence of child maltreatment , Portland, ME : National Child Welfare Resource Center .
  • Marshall , D. B. and English , D. J. 2000 . Neural network modeling of risk assessment in child protective services . Psychological Methods , 5 ( 1 )
  • Meehl , P. E. 1954 . Clinical versus statistical prediction , Minneapolis, Minnesota : University of Minnesota Press .
  • Meyer, B.L., & Wagner, D. (1998). Using actuarial risk assessment to identify unsubstantiated cases for preventative intervention in New Mexico Paper presented at the Twelfth National Roundtable onCPS Risk Assessment. San Francisco, California
  • Milner , J. S. and Campbell , J. C. 1995 . “ Prediction issues for practitioners ” . In Assessing dangerousness: Violence by sexual offenders, batterers, and child abusers , Edited by: Campbell , J. C. 20 – 40 . Thousand Oaks, California : Sage .
  • National Center for Child Abuse and Neglect . 1981 . National study of the incidence and severity of child abuse and neglect , Washington, DC : U.S. Department of Health and Human Services . [NIS-1]81-30325
  • National Center for Child Abuse and Neglect . 1988 . National study of the incidence and severity of child abuse and neglect , Washington, DC : U.S. Department of Health and Human Services . [NIS-2]
  • National Center for Child Abuse and Neglect . 1996 . National study of the incidence and severity of child abuse and neglect , Washington, DC : U.S. Department of Health and Human Services . [NIS-3]105-91-1800
  • National Council on Crime and Delinquency (NCCD) (2000). Child abuse and neglect: Improving consistency in decision-making [Online]. Available: http://www.nccd-crc.org/crcindex.htm
  • Norusis , M. J. 1997 . SPSS guide to data analysis , Upper Saddle River, NJ : Prentice-Hall, Inc .
  • Nunnally , J. C. 1967 . Psychometric theory , New York, New York : McGraw-Hill .
  • Patterson , D. A. and Cloud , R. N. 2000 . The application of artificial neural networks for outcome prediction in a cohort of severely mentally ill outpatients . Journal of Technology for Human Services , 16 ( 2/3 ) : 47 – 61 .
  • Parton , N , Thorpe , D and Wattam , C . 1997 . Child protection: Risk and the moral order , London : Macmillan Press .
  • Pecora , P. J. 1991 . Investigating allegations of child maltreatment: The strengths and limitations of current risk assessment systems . Child and Youth Services , 15 ( 2 ) : 73 – 92 .
  • Quinn , A , Rycraft , J. R. and Schoech , D . 2002 . Building a model to predict caseworker and supervisor turnover using a neural network and logistic regression . Journal of Technology for Human Services , 19 ( 4 ) : 65 – 85 .
  • Sedlack , A. J. and Broadhurst , D. B. 1996 . Executive summary of the third national incidence study of child abuse and neglect , U.S. Department of Health and Human Services 105-91-1800 .
  • Schene , P . 1996 . The risk assessment roundtables: A ten-year perspective . Protecting Children , 12 ( 2 ) : 4 – 8 .
  • Sedlak , A. J. 1997 . Risk factors for the occurrence of child abuse and neglect . Journal of Aggression, Maltreatment, and Trauma , 1 ( 1 ) : 149 – 187 .
  • SPSS . 1997 . Neural connection 2.0 user's guide , Chicago : Author .
  • Squadrito, E., & Wagner, D. (1993). Family risk assessment study by the Rhode Island Department of Children, Youth, and Families and the National Council on Crime and Delinquency/Children's Research Center. Paper presented at the Seventh National Roundtable on CPS Risk Assessment. San Francisco, California
  • Wald , M. S. and Woolverton , M . 1990 . Risk assessment: “The emperor's new clothes?” . Child Welfare , 69 : 483 – 511 .
  • Weedon , J , Torti , T. W. and Zunder , P . 1988 . “ Vermont Division of Social Services family risk assessment matrix: Research and evaluation ” . In Validation research in CPS risk assessment: Three recent studies , Edited by: Tatara . 3 – 43 . Washington, DC : American Public Welfare Association .
  • Weiss , S. M. and Kurlikowski , C. A. 1991 . Computer systems that learn: Classification and prediction methods from statistics, neural nets, machine learning, and expert systems , San Mateo, CA : Morgan Kaufmann .
  • Zaknich, A. (1998). Artificial neural networks: An introductory course [Online]. Available: http://www.maths.uwa.edu.au/∼rkcalley/ann_all/ann_all.html
  • Zou , Y , Shen , Y , Shu , L , Wang , Y , Feng , F , Xu , K , Qu , Y , Song , Y , Zhong , Y , Wang , M and Liu , W . 1996 . Artificial neural network to assist psychiatric diagnosis . British Journal of Psychiatry , 169 ( 1 ) : 64 – 67 .
  • Zuravin , S. J. , Orme , J. G. and Hegar , R. L. 1994 . Predicting severity of child abuse injury with ordinal probit regression . Social Work Research , 18 ( 3 ) : 131 – 138 .

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