The distinction between discriminability and reliability in forensic science.
Bayesian
Discriminability
Forensic science
ROC analysis
Reliability
Signal detection theory
Journal
Science & justice : journal of the Forensic Science Society
ISSN: 1876-4452
Titre abrégé: Sci Justice
Pays: England
ID NLM: 9508563
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
07
12
2020
revised:
15
03
2021
accepted:
23
04
2021
entrez:
26
6
2021
pubmed:
27
6
2021
medline:
15
4
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34172120
pii: S1355-0306(21)00043-5
doi: 10.1016/j.scijus.2021.04.002
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
319-331Informations de copyright
Copyright © 2021 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.