Age, Risk Assessment, and Sanctioning: Overestimating the Old, Underestimating the Young

被引:33
作者
Monahan, John [1 ]
Skeem, Jennifer [2 ,3 ]
Lowenkamp, Christopher [4 ]
机构
[1] Univ Virginia, Sch Law, 580 Massie Rd, Charlottesville, VA 22903 USA
[2] Univ Calif Berkeley, Sch Social Welf, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Sch Publ Policy, Berkeley, CA 94720 USA
[4] US Courts, Adm Off, Washington, DC USA
关键词
risk assessment; age; test bias; disparities; sentencing; PREDICTING RECIDIVISM; EFFECT SIZES; LIFE-SPAN; TEST BIAS; RACE; VALIDITY; GENDER; CRIME; PCRA;
D O I
10.1037/lhb0000233
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
While many extoll the potential contribution of risk assessment to reducing the human and fiscal costs of mass incarceration without increasing crime, others adamantly oppose the incorporation of risk assessment in sanctioning. The principal concern is that any benefits in terms of reduced rates of incarceration achieved through the use of risk assessment will be offset by costs to social justice-which are claimed to be inherent in any risk assessment process that relies on variables for which offenders bear no responsibility, such as race, gender, and age. Previous research has addressed the variables of race and gender. Here, based on a sample of 7,350 federal offenders, we empirically test the predictive fairness of an instrument-the Post Conviction Risk Assessment (PCRA)-that includes the variable of age. We found that the strength of association between PCRA scores and future arrests was similar across younger (i.e., 25 years and younger), middle (i.e., 26-40 years), and older (i.e., 41 years and older) age groups (AUC values .70 or higher). Nevertheless, rates of arrest within each PCRA risk category were consistently lower for older than for younger offenders. Despite its inclusion of age as a risk factor, PCRA scores overestimated rates of recidivism for older offenders and underestimated rates of recidivism for younger offenders.
引用
收藏
页码:191 / 201
页数:11
相关论文
共 49 条
[1]   Revival of Test Bias Research in Preemployment Testing [J].
Aguinis, Herman ;
Culpepper, Steven A. ;
Pierce, Charles A. .
JOURNAL OF APPLIED PSYCHOLOGY, 2010, 95 (04) :648-680
[2]  
American Educational Research Association (AERA) American Psychological Association (APA) National Council on Measurement in Education (NCME), 2014, Standards for educational and psychological testing, DOI DOI 10.1037/14855-004
[3]  
American Law Institute, 2014, MOD PEN COD IN PRESS
[4]  
[Anonymous], WORLD PRIS BRIEF
[5]   MODERATOR VARIABLES - A CLARIFICATION OF CONCEPTUAL, ANALYTIC, AND PSYCHOMETRIC ISSUES [J].
ARNOLD, HJ .
ORGANIZATIONAL BEHAVIOR AND HUMAN PERFORMANCE, 1982, 29 (02) :143-174
[6]  
Arnold J., 2015, POLITICO MAGAZIN MAR
[7]   The influence of base rates on correlations: An evaluation of proposed alternative effect sizes with real-world data [J].
Babchishin, Kelly M. ;
Helmus, Leslie-Maaike .
BEHAVIOR RESEARCH METHODS, 2016, 48 (03) :1021-1031
[8]   The inextricable link between age and criminal history in sentencing [J].
Bushway, Shawn D. ;
Piehl, Anne Morrison .
CRIME & DELINQUENCY, 2007, 53 (01) :156-183
[9]  
Carson E. A., 2016, Aging of the state prison population, 1993-2013
[10]   TEST BIAS - PREDICTION OF GRADES OF NEGRO AND WHITE STUDENTS IN INTEGRATED COLLEGES [J].
CLEARY, TA .
JOURNAL OF EDUCATIONAL MEASUREMENT, 1968, 5 (02) :115-124