Reliability for Binary and Ordinal Data in Forensics
Date
2022-08-08
Authors
Arora, Hina
Kaplan-Damary, Naomi
Stern, Hal
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Copyright 2022, The Authors
Abstract
Forensics studies of feature-based comparison decisions typically focus on the accuracy and reliability the decisions. Decisions can be reports in the form of binary conclusions (value / no value) or in the form of ordered categories. In general there is limited covariate information available about either the examiners or the forensic samples being assessed. We propose a methodology to identify groups of examiners that might share decision making abilities or thresholds for decisions. Identifying clusters of examiners can enable us to assess reliability of decisions within these clusters which may be different from the reliability that is evaluated through marginalized data.
Series Number
Journal Issue
Is Version Of
Versions
Series
Academic or Administrative Unit
Type
Presentation
Comments
The following poster was presented at the 2022 Joint Statistical Meetings (JSM), Washington, D.C., August 6-11, 2022. Posted with permission of CSAFE.