Reliability for Binary and Ordinal Data in Forensics

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2022-08-08
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Arora, Hina
Kaplan-Damary, Naomi
Stern, Hal
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Center for Statistics and Applications in Forensic Evidence
The Center for Statistics and Applications in Forensic Evidence (CSAFE) carries out research on the scientific foundations of forensic methods, develops novel statistical methods and transfers knowledge and technological innovations to the forensic science community. We collaborate with more than 80 researchers and across six universities to drive solutions to support our forensic community partners with accessible tools, open-source databases and educational opportunities.
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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.
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The following poster was presented at the 2022 Joint Statistical Meetings (JSM), Washington, D.C., August 6-11, 2022. Posted with permission of CSAFE.
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