Statistical techniques for juror and jury research
Statistical techniques for juror and jury research
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陪审员和陪审团研究的统计技术
DOI：
10.1348/135532510x487655
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发表时间：
2011
影响因子：
2.3
通讯作者：
J. Vallano
中科院分区：
文献类型：
--
作者：
D. Wright;K. Strubler;J. Vallano
陪审员和陪审团研究是法律的心理学研究中一个蓬勃发展的领域。心理学家熟知的基本方差分析和回归分析不适合分析这一研究领域的许多类型的数据。本文介绍了适用于陪审团研究人员提出的一些主要问题的统计技术。首先，我们讨论如何检查可能影响合理怀疑水平的操作，以及如何使用逻辑回归估计的系数来衡量合理怀疑。其次，我们比较了为分析数据而设计的模型，这些模型经常出现在陪审员首先做出明确判断的研究中（例如，疏忽与否，有罪与否），然后根据他们的反应可以做出另一个判断（例如，奖励，惩罚）。我们专注于零膨胀和障碍模型。第三，我们研究如何考虑到陪审员是陪审团的一部分，使用多层次建模。我们使用可以从互联网上免费下载的软件（软件包R）来说明每种技术，并提供一个网页，提供运行这些分析的进一步细节。
Juror and jury research is a thriving area of investigation in legal psychology. The basic ANOVA and regression, well-known by psychologists, are inappropriate for analysing many types of data from this area of research. This paper describes statistical techniques suitable for some of the main questions asked by jury researchers. First, we discuss how to examine manipulations that may affect levels of reasonable doubt and how to measure reasonable doubt using the coefficients estimated from a logistic regression. Second, we compare models designed for analysing the data like those which often arise in research where jurors first make categorical judgments (e.g., negligent or not, guilty or not) and then dependent on their response may make another judgment (e.g., award, punishment). We concentrate on zero-inflated and hurdle models. Third, we examine how to take into account that jurors are part of a jury using multilevel modelling. We illustrate each of the techniques using software that can be downloaded for free from the Internet (the package R) and provide a web page that gives further details for running these analyses.
影响因子：
6.6
作者：
Reilly, James L.;Sweeney, John A.
通讯作者：
Sweeney, John A.