Combining reproducibility and repeatability studies with applications in forensic science

Hina Arora, Naomi Kaplan-Damary, Hal S Stern
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引用次数: 1

Abstract

Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely on comparisons made by trained examiners such as for latent prints, handwriting, and cartridge cases, it has been recommended that ‘black-box’ studies be used to estimate the reliability and validity of decisions. In a typical black-box study, examiners are asked to judge samples of evidence as they would in practice, and their decisions are recorded; the ground truth about samples is known by the study designers. The design for such studies includes repeated assessments on forensic samples by different examiners and additionally, it is common for a subset of examiners to provide repeated assessments on the same evidence samples. We demonstrate a statistical approach to analyse the data collected across these repeated trials that offers the following advantages: i) we can make joint inference about repeatability and reproducibility while utilizing both the intra-examiner and inter-examiner data, ii) we can account for examiner–sample interactions that may impact the decision-making process. We demonstrate the approach first for continuous outcomes such as where decisions are made on an ordinal scale with many categories. The approach is next applied to binary decisions and results are presented on the data from two black-box studies.
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将再现性和可重复性研究与法医学的应用相结合
为了更好地了解决定的变化和建立对程序的信心,研究法医检查期间所作决定的可重复性和再现性是很重要的。对于依赖于由训练有素的审查员进行比较的学科,如潜在指纹、笔迹和弹壳,建议使用“黑盒”研究来估计决策的可靠性和有效性。在一个典型的黑盒研究中,审查员被要求像在实践中一样判断证据样本,他们的决定被记录下来;关于样本的基本事实是研究设计者所知道的。此类研究的设计包括由不同的审查员对法医样本进行重复评估,此外,一组审查员对相同的证据样本进行重复评估是很常见的。我们展示了一种统计方法来分析从这些重复试验中收集的数据,该方法具有以下优点:i)我们可以在利用审查员内部和审查员之间的数据时对可重复性和可再现性进行联合推断,ii)我们可以解释可能影响决策过程的审查员-样本相互作用。我们首先为连续结果演示了该方法,例如在具有许多类别的有序尺度上做出决策。该方法随后应用于二元决策,并根据两个黑盒研究的数据给出了结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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