Error Rates, Likelihood Ratios, and Jury Evaluation of Forensic Evidence
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Abstract
Forensic examiners regularly testify in criminal cases, informing the jurors whether crime scene evidence likely came from a source. In this study, we examine the impact of providing jurors with testimony further qualified by error rates and likelihood ratios, for expert testimony concerning two forensic disciplines: commonly used fingerprint comparison evidence and a novel technique involving voice comparison. Our method involved surveying mock jurors in Amazon Mechanical Turk (N = 897 laypeople) using written testimony and judicial instructions. Participants were more skeptical of voice analysis and generated fewer “guilty” decisions than for fingerprint analysis (B = 2.00, OR = 7.06, p =
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This accepted article is published as Garrett, B.L., Crozier,W.,E., Grady, R., Error Rates, Likelihood Ratios, and Jury Evaluation of Forensic Evidence. Journal of Forensic Sciences. April 22, 2020. doi: 10.1111/1556-4029.14323. Posted with permission of CSafe.