Busey Thomas, Klutzke Morgan
Indiana University, United States.
Indiana University, United States.
Sci Justice. 2023 Jan;63(1):38-53. doi: 10.1016/j.scijus.2022.10.003. Epub 2022 Oct 28.
Pattern comparison disciplines use categorical statements to express conclusions. We measured the strength of evidence for six different scales as perceived by members of the general public and fingerprint examiners. The statements came from different types of scales, and included categorical conclusions, likelihoods, strength of support statements, and random match probabilities. We used an online interface that required participants to first correctly sort the statements in a given conclusion scale, and then place each statement on a single evidence axis that ranged from most support imaginable for same source to most support imaginable for different sources. We analyzed the data using both the raw values and a Thurstone-Mosteller model based on ordinal values. We found systematic differences between examiners and members of the general public, such that examiners distinguished between Identification and Extremely Strong Support for Common Source, while members of the general public did not. Statements that included numerical values tended to be placed lower than categorical conclusions, and members of the general public tended to place the highest categorical conclusion in each scale at the very top of the evidence axis. The results suggest that laypersons can distinguish between statements meant to represent moderate vs strong evidence, but tend to place categorical conclusions above statements that involve numerical values.
模式比较学科使用分类陈述来表达结论。我们衡量了普通公众和指纹鉴定人员所感知的六种不同量表的证据强度。这些陈述来自不同类型的量表,包括分类结论、似然性、支持陈述的强度以及随机匹配概率。我们使用了一个在线界面,要求参与者首先在给定的结论量表中正确地对陈述进行排序,然后将每个陈述放置在一个单一的证据轴上,该轴的范围从对同一来源的最有力支持到对不同来源的最有力支持。我们使用原始值和基于顺序值的瑟斯顿 - 莫斯特勒模型对数据进行了分析。我们发现鉴定人员和普通公众之间存在系统性差异,即鉴定人员能够区分同一来源的鉴定和极其有力的支持,而普通公众则不能。包含数值的陈述往往比分类结论放置得更低,并且普通公众倾向于将每个量表中最高的分类结论放置在证据轴的最顶端。结果表明,外行人能够区分旨在代表中等证据和有力证据的陈述,但倾向于将分类结论置于涉及数值的陈述之上。