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A MODEL FOR THE PREDICTION OF JUROR DECISIONS *
Author(s) -
Zufryden Fred S.
Publication year - 1984
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1984.tb01228.x
Subject(s) - plaintiff , jury , context (archaeology) , logit , computer science , order (exchange) , function (biology) , empirical research , logistic regression , psychology , operations research , law , machine learning , economics , statistics , political science , mathematics , finance , evolutionary biology , biology , paleontology
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.