A meta-analysis was conducted to identify risk factors that best predict ju
venile recidivism, defined as rearrest for offending of any kind. Twenty-th
ree published studies, representing 15,265 juveniles, met inclusion criteri
a. Effect sizes were calculated for 30 predictors of recidivism. Eight grou
ps of predictors were compared: (a) demographic information, (b) offense hi
story, (C) family and social factors, (d) educational factors, (e) intellec
tual and achievement scores, (f) substance use history, (g) clinical factor
s, and (h) formal risk assessment. The domain of offense history was the st
rongest predictor of reoffending. Other relatively strong predictors includ
ed family problems, ineffective use of leisure time. delinquent peers, cond
uct problems, and nonsevere pathology.