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一种用于量化隐性印刷品检查器个别决策值的方法
1Department of Mathematics & Statistics, Swarthmore College, USA.
Forensic science international. Synergy
|July 14, 2023
概括
法医科学黑子研究可以使用物件响应理论 (IRT) 来改进. 这种方法更好地解释了检查员的变化和法医比较中不确定的结果.
科学领域:
- 法医科学 法医科学 法医科学
- 心理测量 心理测量 心理测量
- 统计建模 统计建模
背景情况:
- 黑子研究是评估法医学科有效性的常见方法.
- 当前的方法总结错误率,但不考虑不同的错误概率或不确定的结果.
- 不确切的答案是频繁的,并且在审查员和比较中存在差异,这给错误率框架带来了挑战.
研究的目的:
- 介绍物品响应理论 (IRT) 和其对法医应用的变体.
- 解决传统黑子研究的局限性,特别是关于错误可能性和不确定的反应.
- 开发一个更准确的模型,用于法医检查员的决策.
主要方法:
- 将物品响应理论 (IRT) 应用于法医环境.
- 整合了一个决策树框架,将不确定的反应建模为一个独特的认知过程.
- 直接从答案中估计参与者的熟练程度和项目难度.
主要成果:
- 基于IRT的模型与标准物流回归相比,显示出优异的预测性能.
- 来自IRT模型的项目效应与常识和现有研究一致.
- 确定了隐藏印记评估阶段和不确定的决策倾向作为指纹检查变异的关键来源.
结论:
- IRT提供了一个强大的框架来分析法医检查员的表现.
- 该模型有效地解释了检查者之间的差异和不确定的反应背后的认知过程.
- 调查结果强调了指纹分析中隐藏印记评估阶段和决策趋势的重要性.
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