Literature DB >> 34172120

The distinction between discriminability and reliability in forensic science.

Andrew M Smith1, Tess M S Neal2.   

Abstract

Forensic science plays an increasingly important role in the criminal justice system; yet, many forensic procedures have not been subject to the empirical scrutiny that is expected in other scientific disciplines. Over the past two decades, the scientific community has done well to bridge the gap, but have likely only scratched the tip of the iceberg. We offer the discriminability-reliability distinction as a critical framework to guide future research on diagnostic-testing procedures in the forensic science domain. We argue that the primary concern of the scientist ought to be maximizing discriminability and that the primary concern of the criminal justice system ought to be assessing the reliability of evidence. We argue that Receiver Operating Characteristic (ROC) analysis is uniquely equipped for determining which of two procedures or conditions has better discriminability and we also demonstrate how estimates of reliability can be extracted from this Signal Detection framework.
Copyright © 2021 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bayesian; Discriminability; Forensic science; ROC analysis; Reliability; Signal detection theory

Mesh:

Year:  2021        PMID: 34172120     DOI: 10.1016/j.scijus.2021.04.002

Source DB:  PubMed          Journal:  Sci Justice        ISSN: 1355-0306            Impact factor:   2.124


  2 in total

1.  The strange persistence of (source) "identification" claims in forensic literature through descriptivism, diagnosticism and machinism.

Authors:  Alex Biedermann
Journal:  Forensic Sci Int Synerg       Date:  2022-03-02

2.  How to make better forensic decisions.

Authors:  Thomas D Albright
Journal:  Proc Natl Acad Sci U S A       Date:  2022-09-13       Impact factor: 12.779

  2 in total

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