IMPROVING PROBATION DECISIONS THROUGH STATISTICAL TRAINING

被引:8
作者
FONG, GT
LURIGIO, AJ
STALANS, LJ
机构
[1] LOYOLA UNIV,CHICAGO,IL 60611
[2] UNIV ILLINOIS,CHICAGO,IL 60680
关键词
D O I
10.1177/0093854890017003009
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Much research in cognitive and social psychology has demonstrated that people often fail to incorporate statistical principles in making judgments and decisions. For example, people generally assign too little weight to base-rate information and too much weight to case-specific information. Probation officers are no exception. Two studies examined whether statistical training could increase the use of statistical principles in probation decisions. Study 1 found that novice probation officers trained on the law of large numbers were more likely than untrained officers to employ statistical principles in solving open-ended probation problems. Study 2 found that training novice probation officers on the law of large numbers increased their use of base-rate information on predictions about recidivism for 10 realistic probation cases, but only when the cases involved high risk. These results suggest that statistical training may improve probation decisions and judgments. © 1990, SAGE PUBLICATIONS. All rights reserved.
引用
收藏
页码:370 / 388
页数:19
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