Proficiency testing of fingerprint examiners with Bayesian Item Response Theory Luby, Amanda Kadane, Joseph
dc.contributor.department Center for Statistics and Applications in Forensic Evidence 2020-04-10T01:12:20.000 2020-06-30T01:58:15Z 2020-06-30T01:58:15Z Mon Jan 01 00:00:00 UTC 2018 2018-06-01
dc.description.abstract <p>In recent years, the forensic community has pushed to increase the scientific basis of forensic evidence, which has included proficiency testing for fingerprint analysts. We used proficiency testing data collected by Collaborative Testing Services in which 431 fingerprint analysts were asked to identify the source of latent prints. The data were analysed using a Rasch model with a Bayesian estimation approach. Although these data provide valuable information about the relative proficiency of the examiners and the relative difficulty of the questions, it does not necessarily extrapolate onto general performance of examiners or difficulty in casework, which we show through sensitivity analysis and simulation. We show that a Bayesian Item Response Theory (IRT) analysis provides a deeper understanding of analysts’ proficiency and question difficulty than other forms of analysis. A large-scale adoption of IRT in this area would provide both more precise estimates of proficiency and quantitative evidence for the relative difficulty of different questions.</p>
dc.description.comments <p>This is a manuscript of an article published as Luby, Amanda S., and Joseph B. Kadane. "Proficiency testing of fingerprint examiners with Bayesian Item Response Theory." <em>Law, Probability and Risk</em> 17, no. 2 (2018): 111-121. Posted with permission of CSAFE.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1028
dc.identifier.contextkey 17326640
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath csafe_pubs/31
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:31:07 UTC 2022
dc.source.uri 10.1093/lpr/mgy009
dc.subject.disciplines Forensic Science and Technology
dc.title Proficiency testing of fingerprint examiners with Bayesian Item Response Theory
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication d8a3c72b-850f-40f6-87c4-8812547080c7
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