Comparing system and estimator variables using data from real line-ups

Comparing system and estimator variables using data from real line-ups

For many years psychologists have conducted carefully balanced and controlled experiments in order to understand the processes involved with line‐up identifications. While the results are useful, several researchers have questioned whether these experiments are applicable to real line‐ups. In this s...

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Bibliographic Details
Published in:Applied cognitive psychology Vol. 10; no. 1; pp. 75 - 84
Main Authors: Wright, Daniel B., McDaid, Anne T.
Format: Journal Article
Language:English
Published: West Sussex John Wiley & Sons, Ltd 01-02-1996
Wiley
Subjects:
Biological and medical sciences
Construction
Fundamental and applied biological sciences. Psychology
Human
Identity parades
Learning. Memory
Memory
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Studies
Suspected offenders
Variables
Human
Testimony
Logistic regression
Criminality
Statistical model
Memory
Race
Cognition
Identification
Multinomial distribution
Localization
Comparative study
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Summary:For many years psychologists have conducted carefully balanced and controlled experiments in order to understand the processes involved with line‐up identifications. While the results are useful, several researchers have questioned whether these experiments are applicable to real line‐ups. In this study we compare the results from two specialist line‐up suites with the results from ordinary police stations. Witnesses at the suites chose foils more often than witnesses at the police stations. However, characteristics of the crimes, witnesses and suspects at the suites differed from those conducted at the stations. Many of these characteristics are also associated with increased proportions of foils being chosen. For example, the specialist suites tended to accommodate more non‐white suspects, more crimes of violence and, at the time of this research, their line‐ups occurred longer after the event. Several of the methodological difficulties of using data from real line‐ups are discussed and appropriate statistical techniques are introduced.
Bibliography:ark:/67375/WNG-TF2TNN1H-L
ArticleID:ACP364
istex:FBDD5C444778403B9234B4075542B3F4868FEB11
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0888-4080
1099-0720
DOI:10.1002/(SICI)1099-0720(199602)10:1<75::AID-ACP364>3.0.CO;2-E