Assessing significant factors that can influence physical fit examinations - Part I. Physical fits of torn and cut duct tapes.

Blind test Edge pattern Similarity scores Standardization Statistical assessment

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 28 09 2022
revised: 10 11 2022
accepted: 12 01 2023
pubmed: 20 1 2023
medline: 20 1 2023
entrez: 19 1 2023
Statut: ppublish

Résumé

This study expands upon a previously developed method that quantifies the similarity of the compared tape edges by systematically studying the effect of several separation methods and tape grades on the quality of a fit. Analysts examined more than 3300 pairs of hand-torn or scissor-cut duct tapes from three different tape grades while they were kept blind from the ground truth to minimize bias. The samples were examined following a three-step methodology: 1) qualitative assessment of the overall edge alignment and description of edge pattern, 2) macroscopic evaluation of the edges' features, 3) bin by bin subunit assessment of tape edges and estimation of the edge similarity score. A report template was designed to maintain records of the decision-making process. In the second and third steps, eight comparison features were defined and documented using auto-populated cell options. Generally, misidentification rates were low, with no false positives reported. Coinciding with previous research, low scores (under 20%) provided the most support for a non-fit conclusion, while high scores (80% or higher) supported a fit conclusion. A statistical analysis of the separation method and quality of tape revealed a potential interaction between these factors and showed that they significantly impact the edge scores for true fitting pairs, but not the true non-fits' scores. The developed comparison and documentation criteria can assist practitioners with a more straightforward, consistent, and transparent interpretation and reporting approach.

Identifiants

pubmed: 36657184
pii: S0379-0738(23)00017-8
doi: 10.1016/j.forsciint.2023.111567
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111567

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Meghan Prusinowski (M)

West Virginia University, Department of Forensic and Investigative Science, Morgantown, WV 26506, USA.

Zachary Andrews (Z)

West Virginia University, Department of Forensic and Investigative Science, Morgantown, WV 26506, USA.

Cedric Neumann (C)

Battelle Memorial Institute, Columbus, OH 43201, USA.

Tatiana Trejos (T)

West Virginia University, Department of Forensic and Investigative Science, Morgantown, WV 26506, USA. Electronic address: Tatiana.trejos@mail.wvu.edu.

Classifications MeSH