The way in which jurors perceive reports of forensic evidence is of critical importance, especially in cases of forensic identification evidence that require examiners to compare items and assess whether they originate from a common source. The current study discusses methods for studying group differences among mock jurors and illustrates them using a reanalysis of data regarding lay perceptions of forensic science evidence. Conventional approaches that consider subpopulations defined a priori are compared with mixture models that infer group structure from the data, allowing detection of subgroups that cohere in unexpected ways. Mixture models allow researchers to determine whether a population comprises subpopulations that respond to evidence differently and then to consider how those subpopulations might be characterized. The reanalysis reported here shows that mixture models can enhance understanding of lay perceptions of an important type of forensic science evidence (DNA and fingerprint comparisons), providing insight into how the perceived strength of that evidence varies as a function of the language forensic experts use to describe their findings. This novel application of mixture models illustrates how such models can be used, more generally, to explore the importance of juror characteristics in jury decision making.
Using mixture models to examine group difference among jurors: an illustration involving the perceived strength of forensic science evidence

Journal: Law, Probability & Risk
Published: 2021
Primary Author: Naomi Kaplan-Damary
Secondary Authors: William C. Thompson, Rebecca Hofstein Grady, Hal S. Stern
Type: Publication
Research Area: Implementation and Practice
Related Resources
Reply to Response to Vacuous standards – Subversion of the OSAC standards-development process
This Letter to the Editor is a reply to Mohammed et al. (2021) https://doi.org/10.1016/j.fsisyn.2021.100145, which in turn is a response to Morrison et al. (2020) “Vacuous standards – subversion of…
Jury Perception of Bullet Matching Algorithms and Demonstrative Evidence
Presented at Joint Statistical Meetings
Unpacking the Sources of Error in Forensic Evidence
An overview of the Autopsy of a Crime Lab book and the ways in which error can occur in forensic evidence
Autopsy of a Crime Lab: Addressing the Sources of Error in Forensics
Keynote presentation: Autopsy of a Crime Lab book and overview of IMPL 1 Project Area