A MODEL FOR THE PREDICTION OF JUROR DECISIONS*
研究了一个逻辑回归模型，根据陪审员个人特征预测其倾向于被告还是原告，帮助辩护律师在法庭上评估和选择陪审员以减少高额赔偿判决，并进行了实证测试。
ABSTRACT A logit model approach designed to assign a probability whether prospective jurors will favor the defendant or plaintiff in a case, as a function of perceived individual juror characteristics, is described in the context of a case situation. The model, which has been programmed on a hand‐held computer, is designed for implementation in courtroom settings to help defense attorneys evaluate and select jurors in order to minimize the likelihood of large jury awards. Empirical tests of the model are also described.