Identifying potential offenders on the basis of police records: development and validation of the ProKid risk assessment tool

Purpose The purpose of this paper is to describe the development and validation of the ProKid risk assessment tool, which was designed to enable Dutch police officers to identify youths with elevated risk of committing violent and/or property crimes. Design/methodology/approach The ProKid algorithms were based on the results of logistic regression analyses of police data from a sample of 31,769 adolescents in the former police regions “Amsterdam-Amstelland” and “Gelderland-Midden”. For the validation, logistic regression analyses were performed on police data of youths in the police region “Amsterdam-Amstelland” who had been in contact with the police in 2011 (n=39,977). Furthermore, receiver operating characteristic analyses were performed to assess the instrument’s accuracy. Findings Results indicated that higher ProKid risk categories were associated with greater odds of being registered as a suspect of either a violent or property offence. The instrument was found to have good predictive accuracy. Area under the curve values ranged from 0.83 to 0.84 for violent offences and from 0.82 to 0.83 for property offences. Practical implications The current study demonstrates that ProKid is a valid and accurate tool to be used by police officers to identify youths with elevated risk of future violent and property offending. The automated assessment procedure enables a quick screening of large numbers of both non-offenders and offenders. This study confirms the value of official police records for assessing the risk of future offending for preventive purposes. Originality/value The present study demonstrates the validity of a risk assessment tool based on Dutch police records for both non-offenders and offenders.

[1]  W. Youden,et al.  Index for rating diagnostic tests , 1950, Cancer.

[2]  G. Stams,et al.  Youth Offender Care Needs Assessment Tool (YO-CNAT): an actuarial risk assessment tool for predicting problematic child-rearing situations in juvenile offenders on the basis of police records. , 2013, Psychological assessment.

[3]  Alex R. Piquero,et al.  Offending from Childhood to Late Middle Age , 2013 .

[4]  G. Harris,et al.  The accuracy of recidivism risk assessments for sexual offenders: a meta-analysis of 118 prediction studies. , 2009, Psychological assessment.

[5]  C. Schwalbe.  Risk Assessment for Juvenile Justice: A Meta-Analysis , 2007, Law and human behavior.

[6]  R. Berk.  Criminal Justice Forecasts of Risk: A Machine Learning Approach , 2012 .

[7]  D. Farrington,et al.  What works in crime prevention and rehabilitation : lessons from systematic reviews , 2016 .

[8]  Brian Francis,et al.  Development of a reoffending measure using the Police National Computer database. , 2007 .

[9]  R. Loeber.  Development and risk factors of juvenile antisocial behavior and delinquency. , 1990 .

[10]  Richard A. Berk,et al.  Overview of: “Statistical Procedures for Forecasting Criminal Behavior: A Comparative Assessment” , 2013 .

[11]  F. Oort,et al.  The development and validation of the Youth Actuarial Care Needs Assessment Tool for Non-Offenders (Y-ACNAT-NO) , 2015, BMC Psychiatry.

[12]  Grant T. Harris,et al.  Comparing Effect Sizes in Follow-Up Studies: ROC Area, Cohen's d, and r , 2005, Law and human behavior.

[13]  J. Macleod,et al.  Risk and protective factors. , 1993, Journal of the American Academy of Child and Adolescent Psychiatry.

[14]  T. Brennan,et al.  Evaluating the Predictive Validity of the Compas Risk and Needs Assessment System , 2009 .

[15]  K. Nijhof,et al.  Crimineel gedrag van ouders en kinderen , 2007 .

[16]  Jay P. Singh,et al.  The History, Development, and Testing of Forensic Risk Assessment Tools , 2012 .

[17]  G. Stams,et al.  Ontwikkeling van het Landelijke Instrumentarium Jeugdstrafrechtketen (LIJ) , 2011 .

[18]  Richard Berk,et al.  Criminal Justice Forecasts of Risk , 2012, SpringerBriefs in Computer Science.

[19]  James Bonta,et al.  Risk-needs assessment and treatment. , 1996 .

[20]  D. Farrington.  Prospective longitudinal research on the development of offending , 2015 .

[21]  C. Borduin.  Innovative models of treatment and service delivery in the juvenile justice system. , 1994 .

[22]  R. Loeber,et al.  Development and etiology of disruptive and delinquent behavior. , 2009, Annual review of clinical psychology.

[23]  Laura S. Guy.  Performance indicators of the structured professional judgment approach for assessing risk for violence to others: a meta-analytic survey , 2008 .

[24]  E. Costello,et al.  Gender and the Development of Aggression, Disruptive Behavior, and Delinquency from Childhood to Early Adulthood , 2013 .

[25]  D. Farrington,et al.  Epidemiology of juvenile violence. , 2000, Child and adolescent psychiatric clinics of North America.

[26]  Rolf Loeber,et al.  Juvenile Delinquency and Serious Injury Victimization , 2001 .

[27]  Wesley G. Jennings,et al.  Offending from Childhood to Late Middle Age: Recent Results from the Cambridge Study in Delinquent Development , 2023, SpringerBriefs in Criminology.

[28]  D. Hay,et al.  Key issues in the development of aggression and violence from childhood to early adulthood. , 1997, Annual review of psychology.

[29]  W. Iacono,et al.  The association of early adolescent problem behavior with adult psychopathology. , 2005, The American journal of psychiatry.

[30]  Tim K. Cocx,et al.  Algorithmic tools for data-oriented law enforcement , 2009 .

[31]  Justin W. Patchin,et al.  Exposure to Community Violence and Childhood Delinquency , 2006 .

[32]  L. Boendermaker,et al.  Effects of early prevention programs on adult criminal offending: a meta-analysis. , 2011, Clinical psychology review.

[33]  David J. Smith.  The Links Between Victimization and Offending , 2004 .

[34]  James Bonta,et al.  Rehabilitating criminal justice policy and practice. , 2010 .

[35]  Dana L. Haynie,et al.  Reconsidering Peers and Delinquency: How do Peers Matter? , 2005 .

[36]  D. Farrington.  Childhood Risk Factors and Risk-focussed Prevention , 2006 .

[37]  David L Streiner,et al.  What's under the ROC? An Introduction to Receiver Operating Characteristics Curves , 2007, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[38]  K. Babchishin,et al.  The influence of base rates on correlations: An evaluation of proposed alternative effect sizes with real-world data , 2016, Behavior research methods.

[39]  Rajeev Ramchand,et al.  A Developmental Approach for Measuring the Severity of Crimes , 2009 .

[40]  Michael R. Gottfredson,et al.  Age and the Explanation of Crime , 1983, American Journal of Sociology.

[41]  R. Loeber,et al.  Developmental sequences in the age of onset of disruptive child behaviors , 1992 .

[42]  Tom A. B. Snijders,et al.  Friendship and Delinquency: Selection and Influence Processes in Early Adolescence , 2010 .

[43]  J. Giannetta,et al.  Exposure to violence: psychological and academic correlates in child witnesses. , 2001, Archives of pediatrics & adolescent medicine.

[44]  Mark Assink,et al.  The Development and Validation of an Actuarial Risk Assessment Tool for the Prediction of First-Time Offending , 2016, International journal of offender therapy and comparative criminology.

[45]  S. Bushway,et al.  Criminal Offending Frequency and Offense Switching , 2004 .

[46]  Wanda E. Leal,et al.  What’s Age Got to Do With It? Comparing Juveniles and Adults on Drugs and Crime , 2017 .

[47]  Kevin M. Beaver,et al.  A Life-Course Approach to the Study of Victimization and Offending Behaviors , 2008 .

[48]  B. Francis,et al.  Changing Patterns of Offending Behaviour Among Young Adults , 2007 .

[49]  R. Tremblay,et al.  Early Parent Training to Prevent Disruptive Behavior Problems and Delinquency in Children , 2001 .

[50]  D. DeMatteo,et al.  Risk Factors, Protective Factors, and the Prevention of Antisocial Behavior Among Juveniles , 2005 .

[51]  Yvonne Neudorf,et al.  A General Theory Of Crime , 2016 .

[52]  J A Swets,et al.  Measuring the accuracy of diagnostic systems. , 1988, Science.

[53]  R. Loeber,et al.  Developmental pathways in disruptive child behavior , 1993, Development and Psychopathology.

[54]  J. Wright,et al.  Criminals in the Making: Criminality Across the Life Course , 2008 .

[55]  A. Kazdin,et al.  Treatment of antisocial behavior in children: current status and future directions. , 1987, Psychological bulletin.

[56]  F. Oort,et al.  Risk factors for persistent delinquent behavior among juveniles: A meta-analytic review. , 2015, Clinical psychology review.

[57]  J. Coid,et al.  Early Prevention of Adult Antisocial Behaviour , 2007 .

[58]  Richard A. Berk,et al.  Statistical Procedures for Forecasting Criminal Behavior , 2013 .

[59]  Christopher T. Lowenkamp,et al.  Time-Free Effects in Predicting Recidivism Using Both Fixed and Variable Follow-Up Periods , 2017 .

[60]  C. Put.  Youth Actuarial Risk Assessment Tool (Y-ARAT): The Development of an Actuarial Risk Assessment Instrument for Predicting General Offense Recidivism on the Basis of Police Records , 2014 .

[61]  H. Doll,et al.  Use of risk assessment instruments to predict violence and antisocial behaviour in 73 samples involving 24 827 people: systematic review and meta-analysis , 2012, BMJ : British Medical Journal.

[62]  A. Blumstein.  Criminal careers and "career criminals" , 1986 .