The Tree That Hides the Forest? Testing the Construct Validity of ViCLAS through an Empirical Study of Missing Data

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State: Public
Version: author
Serval ID
serval:BIB_7B2FACDF215F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The Tree That Hides the Forest? Testing the Construct Validity of ViCLAS through an Empirical Study of Missing Data
Journal
Policing: A Journal of Policy and Practice
Author(s)
Chopin Julien, Aebi Marcelo F.
ISSN
1752-4512
Publication state
Published
Issued date
2017
Peer-reviewed
Oui
Volume
Online first
Language
english
Abstract
This article tries to identify the reasons that explain the lack of data for some of the variables included in the police databases that are used by crime analysts to establish links between offences in order to detect serial offenders. It is based on an empirical analysis of the missing data in the cases introduced in the French Violent Crime Linkage Analysis System (ViCLAS) from 2006 to 2014. The findings show that the missing data are not randomly distributed, but vary according to the type of variable studied. The highest percentages of missing data are found in variables that refer to behavioural, physical, and distinctive characteristics; while the lowest percentages are found in variables that refer to sociodemographic, descriptive, and situational characteristics. The percentage of missing data increases in parallel with the level of complexity and subjectivity of the data requested, which raises questions about the construct validity of ViCLAS.
Keywords
Construct validity, Missing values, Crime analysis, ViCLAS
Create date
01/12/2017 12:10
Last modification date
21/08/2019 6:12
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