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I spy: assessing the reliability of eye-witness testimony

I spy: assessing the reliability of eye-witness testimony

Richardson, Mary, Stephenson, Paul and Hulse, Lynn ORCID logoORCID: https://orcid.org/0000-0001-5582-3520 (2006) I spy: assessing the reliability of eye-witness testimony. In: 2006 JSM proceedings : papers presented at the Joint Statistical Meetings, Seattle, Washington, August 6th - 10th 2006. American Statistical Association (ASA), Alexandria, VA, pp. 2358-2361. ISBN 978-0979174728; 0979174724

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Abstract

We will discuss an interactive activity that allows students to utilize introductory statistical techniques to assess the reliability of eyewitness testimony. Students are shown a video of a crime and are asked to recall specific details pertaining to the crime. Students then apply appropriate statistical techniques on the data collected in order to ascertain whether or not eye-witness testimony can be viewed as being reliable.

Item Type: Conference Proceedings
Title of Proceedings: 2006 JSM proceedings : papers presented at the Joint Statistical Meetings, Seattle, Washington, August 6th - 10th 2006
Additional Information: Note by the author with the deposit: "I do not know the date of acceptance. However, the conference started on 3rd August 2006, so it had to have been prior to that. Also, I cannot find my copy of the proceedings, so the "published" date is the date the paper was presented at the conference. Furthermore, because I cannot find my copy of the proceedings, I only have a draft version of the conference paper to upload."
Uncontrolled Keywords: active learning; descriptive statistics; inferential statistics
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Fire Safety Engineering Group (FSEG)
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
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Last Modified: 10 Mar 2023 16:56
URI: http://gala.gre.ac.uk/id/eprint/38770

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