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Alan Harland (1999)
Choosing correctional options that work. Defining the demand and evaluation the supply. (Weber)Kriminologisches Journal, 31
C. Schwalbe, M. Fraser, Steven Day, E. Arnold (2004)
North Carolina Assessment of Risk (NCAR)Journal of Offender Rehabilitation, 40
P. Gendreau, C. Goggin, P. Smith (2002)
Is the PCL-R really the “unparralleled” measure of offender risk?: A lesson in knowledge cumulationCriminal Justice and Behavior, 29
R. Rosenthal (1984)
Meta-analytic procedures for social research
K. Hodges, Cheong-Seok Kim (2000)
Psychometric Study of the Child and Adolescent Functional Assessment Scale: Prediction of Contact with the Law and Poor School AttendanceJournal of Abnormal Child Psychology, 28
G. Ilacqua, Grant Coulson, Diana Lombardo, Verna Nutbrown (1999)
Predictive Validity of the Young Offender Level of Service Inventory for Criminal Recidivism of Male and Female Young OffendersPsychological Reports, 84
J. Ashford, C. LeCroy (1990)
Juvenile recidivism: a comparison of three prediction instruments.Adolescence, 25 98
S. Brodsky (1980)
Criminal Justice and BehaviorCriminal Justice and Behavior, 7
G. Walters (2003)
Predicting criminal justice outcomes with the Psychopathy Checklist and Lifestyle Criminality Screening Form: a meta-analytic comparison.Behavioral sciences & the law, 21 1
D. Wagner, R. Wiebush, S. Lunning (2000)
Validation of the Indiana DOC juvenile division risk assessment instrument
D. B. Towberman (1992)
A national survey of juvenile risk assessmentFamily & Juvenile Court Journal, 43
P. Gendreau, Tracy Little, C. Goggin (1996)
A META‐ANALYSIS OF THE PREDICTORS OF ADULT OFFENDER RECIDIVISM: WHAT WORKS!*Criminology, 34
Piers Steel, J. Kammeyer-Mueller (2002)
Comparing meta-analytic moderator estimation techniques under realistic conditions.The Journal of applied psychology, 87 1
R. Corrado, G. Vincent, S. Hart, Irwin Cohen (2004)
Predictive validity of the Psychopathy Checklist: Youth Version for general and violent recidivism.Behavioral sciences & the law, 22 1
J. Hunter, F. Schmidt (2000)
Fixed Effects vs. Random Effects Meta‐Analysis Models: Implications for Cumulative Research KnowledgeInternational Journal of Selection and Assessment, 8
Sandy Jung, E. Rawana (1999)
Risk and Need Assessment of Juvenile OffendersCriminal Justice and Behavior, 26
C. W. LeCroy, J. Krysik, D. Palumbo (1998)
Empirical validation of the Arizona risk/needs instrument and assessment process
Peter Jones, P. Harris, Jamie Fader, Lori Grubstein (2001)
Identifying chronic juvenile offendersJustice Quarterly, 18
E. W. Burgess (1928)
Factors determining success or failure on parole
R. Hoge (2002)
Standardized Instruments for Assessing Risk and Need in Youthful OffendersCriminal Justice and Behavior, 29
M. Fraser (2004)
Risk and Resilience in Childhood: An Ecological Perspective
M. Lipsey (2003)
Those Confounded Moderators in Meta-Analysis: Good, Bad, and UglyThe ANNALS of the American Academy of Political and Social Science, 587
R. Dawes, David Faust, P. Meehl (2002)
Heuristics and Biases: Clinical versus Actuarial Judgment
S. Hall, M. Brannick (2002)
Comparison of two random-effects methods of meta-analysis.The Journal of applied psychology, 87 2
J. Ashford, C. LeCroy (1988)
Predicting RecidivismCriminal Justice and Behavior, 15
R. Barnoski (2004)
Assessing risk for re-offense: Validating the Washington State Juvenile Court Assessment
M. Rice, G. Harris (2005)
Comparing Effect Sizes in Follow-Up Studies: ROC Area, Cohen's d, and rLaw and Human Behavior, 29
Rosalind Catchpole, H. Gretton (2003)
The Predictive Validity of Risk Assessment with Violent Young OffendersCriminal Justice and Behavior, 30
J. Swets (1996)
Signal Detection Theory and ROC Analysis in Psychology and Diagnostics: Collected Papers
C. S. Schwalbe, M. W. Fraser, S. H. Day, E. M. Arnold (2004)
North Carolina Assessment of Risk (NCAR): Reliability and Predictive Validity with Juvenile OffendersJournal of Offender Rehabilitation, 40
K. Hodges (1999)
The Child and Adolescent Functional Assessment Scale (CAFAS)
J. Bonta, Moira Law, Karl Hanson (1998)
The prediction of criminal and violent recidivism among mentally disordered offenders: a meta-analysis.Psychological bulletin, 123 2
James Howell (2003)
Preventing and Reducing Juvenile Delinquency: A Comprehensive Framework
F. Schmidt, J. Hunter (1989)
Methods of Meta-Analysis
A. Thompson, Zoe Pope (2005)
Assessing juvenile offenders: Preliminary data for the Australian adaptation of the youth level of service/case management inventory (Hoge & Andrews, 1995)*Australian Psychologist, 40
Delinquency Prevention, J. Howell, Shay Bilchik (1995)
Guide for implementing the comprehensive strategy for serious, violent, and chronic juvenile offenders
W. Grove, P. Meehl (1996)
Comparative efficiency of informal (subjective, impressionistic) and formal (mechanical, algorithmic) prediction procedures: The clinical–statistical controversy.Psychology, Public Policy and Law, 2
Susan Turner, T. Fain (2003)
Document Title: Validation of the Los Angeles County Probation Department's Risk and Needs Assessment Instruments
J. Ferguson (2002)
Putting the “What Works” Research into PracticeCriminal Justice and Behavior, 29
(2000)
Alameda County placement risk assessment validation: Draft of final report
J. B. Ashford, C. W. LeCroy (1988)
Predicting recidivism: An evaluatin of the Wisconsin Juvenile Probation and Aftercare Risk InstrumentCriminal Justice and Behavior, 15
J. Sharkey, M. Furlong, S. Jimerson, K. O'Brien (2003)
Evaluating the Utility of a Risk Assessment To Predict Recidivism among Male and Female Adolescents.Education and Treatment of Children, 26
C. S. Schwalbe, M. W. Fraser, S. H. Day, V. Cooley (2006)
Classifying juvenile offenders according to risk of recidivism: Predictive validity, race/ethnicity, and genderCriminal Justice and Behavior, 33
J. Bonta (1996)
Risk-needs assessment and treatment.
C. Schwalbe, M. Fraser, Steven Day, Valerie Cooley (2006)
Classifying Juvenile Offenders According to Risk of RecidivismCriminal Justice and Behavior, 33
D. Towberman (1992)
A National Survey of Juvenile Risk AssessmentJuvenile and Family Court Journal, 43
Ed Risler, Richard Sutphen, J. Shields (2000)
Preliminary Validation of the Juvenile First Offender Risk Assessment IndexResearch on Social Work Practice, 10
K. Baker, S. Jones, C. Roberts, S. Merrington (2003)
The evaluation of the validity and reliability of the Youth Justice Board’s assessment for young offenders: Findings from the first two years of ASSET
A. W. Flores, L. F. Travis, E. J. Latessa (2004)
Case classification for juvenile corrections: An assessment of the Youth Level of Service/Case Management Inventory (YLS/CMI), final report
C. Schwalbe, M. Fraser, Steven Day (2007)
Predictive Validity of the Joint Risk Matrix With Juvenile OffendersCriminal Justice and Behavior, 34
W. Smith, M. Aloisi (1999)
Prediction of recidivism among “second timers” in the juvenile justice system: Efficiency in screening chronic offendersAmerican Journal of Criminal Justice, 23
R. Rosenthal, M. Dimatteo (2001)
Meta-analysis: recent developments in quantitative methods for literature reviews.Annual review of psychology, 52
O. Dunn, W. Downei, R. Heath (1966)
Basic Statistical Methods
P. Gendreau, C. Goggin, P. Smith (2002)
Is the PCL-R Really the “Unparalleled” Measure of Offender Risk?Criminal Justice and Behavior, 29
H. Gretton, Michelle Mcbride, R. Hare, R. O'shaughnessy, Gary Kumka (2001)
Psychopathy and Recidivism in Adolescent Sex OffendersCriminal Justice and Behavior, 28
K. Johnson, D. Wagner, T. Matthews (2002)
Missouri juvenile risk assessment re-validation report
F. Schmidt, R. Hoge, L. Gomes (2005)
Reliability and Validity Analyses of the Youth Level of Service/Case Management InventoryCriminal Justice and Behavior, 32
R. E. H. Catchpole, H. M. Gretton (2003)
The predictive validity of risk assessment with violent young offenders: A 1-year examination of criminal outcomeCriminal Justice and Behavior, 30
R. Quist, D. Matshazi (2000)
The child and adolescent functional assessment scale (CAFAS): a dynamic predictor of juvenile recidivism.Adolescence, 35 137
R. M. Dawes, D. Faust, P. E. Meehl (1989)
Clinical vs. actuarial judgmentScience, 243
J. Krysik, C. LeCroy (2002)
The Empirical Validation of an Instrument to Predict Risk of Recidivism Among Juvenile OffendersResearch on Social Work Practice, 12
J. L. Ferguson (2002)
Putting the “what works” research into practice: An organizational perspectiveCriminal Justice and Behavior, 29
Yu-ping Xie, R. Devellis (1992)
Scale Development: Theory and Applications.Contemporary Sociology, 21
S. Turner, T. Fain (2003)
Validation of the Los Angeles County Probation Department’s risk and needs assessment instruments
K. Hodges, M. Wong (1996)
Psychometric characteristics of a multidimensional measure to assess impairment: The Child and Adolescent Functional Assessment ScaleJournal of Child and Family Studies, 5
Tania Huedo-Medina, J. Sánchez-Meca, Fulgencio Marín-Martínez, J. Botella (2006)
Assessing heterogeneity in meta-analysis: Q statistic or I2 index?Psychological methods, 11 2
H. Barbaree, M. Seto, Calvin Langton, E. Peacock (2001)
Evaluating the Predictive Accuracy of Six Risk Assessment Instruments for Adult Sex OffendersCriminal Justice and Behavior, 28
R. Wiebush, D. Wagner, J. Ehrlich (1999)
Development of an empirically-based risk assessment instrument: For the Virginia Department of Juvenile Justice final report
M. Rice, G. Harris (1995)
Violent recidivism: assessing predictive validity.Journal of consulting and clinical psychology, 63 5
Risk assessment instruments are increasingly employed by juvenile justice settings to estimate the likelihood of recidivism among delinquent juveniles. In concert with their increased use, validation studies documenting their predictive validity have increased in number. The purpose of this study was to assess the average predictive validity of juvenile justice risk assessment instruments and to identify risk assessment characteristics that are associated with higher predictive validity. A search of the published and grey literature yielded 28 studies that estimated the predictive validity of 28 risk assessment instruments. Findings of the meta-analysis were consistent with effect sizes obtained in larger meta-analyses of criminal justice risk assessment instruments and showed that brief risk assessment instruments had smaller effect sizes than other types of instruments. However, this finding is tentative owing to limitations of the literature.
Law and Human Behavior – American Psychological Association
Published: Oct 9, 2007
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