✦ LIBER ✦

Simultaneous and sequential lineups: decision processes of accurate and inaccurate eyewitnesses

✍ Scribed by Wendy Kneller; Amina Memon; Sarah Stevenage

Publisher: John Wiley and Sons
Year: 2001
Tongue: English
Weight: 89 KB
Volume: 15
Category: Article
ISSN: 0888-4080
DOI: 10.1002/acp.739

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Mock-juror belief of accurate and inaccu

Mock-juror belief of accurate and inaccurate eyewitnesses

✍ R. C. L. Lindsay; Gary L. Wells; Fergus J. O'Connor 📂 Article 📅 1989 🏛 Springer 🌐 English ⚖ 509 KB

Faces in Motion: Age-Related Changes in

Faces in Motion: Age-Related Changes in Eyewitness Identification Performance in Simultaneous, Sequential, and Elimination Video Lineups

✍ Joyce E. Humphries; Robyn E. Holliday; Heather D. Flowe 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 161 KB 👁 1 views

The Effect of Lineup Member Similarity o

The Effect of Lineup Member Similarity on Recognition Accuracy in Simultaneous and Sequential Lineups

✍ Heather D. Flowe; Ebbe B. Ebbesen 📂 Article 📅 2007 🏛 Springer 🌐 English ⚖ 315 KB

When accurate and inaccurate eyewitnesse

When accurate and inaccurate eyewitnesses look the same: a limitation of the ‘pop-out’ effect and the 10- to 12-second rule

✍ David F. Ross; Tanja Rapus Benton; Stephanie McDonnell; Richard Metzger; Christo 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 217 KB

## Abstract Research has found support for a ‘pop‐out effect’ that occurs when witnesses who accurately identify a criminal from a lineup are faster and uses more automatic processing than inaccurate witnesses who misidentify a foil. We present evidence that this finding may not occur with biased l

Current status observation of a three-st

Current status observation of a three-state counting process with application to simultaneous accurate and diluted HIV test data

✍ Karen McKeown; Nicholas P. Jewell 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 French ⚖ 138 KB

## Abstract The authors examine multistate current status data defined by two survival times of interest where one only observes whether or not each of the individual survival times exceed a common observed monitoring time. An individual can therefore belong to one of three states. The authors are