Latent classes of criminal intent associated with criminal behaviour

Daniel Boduszek, Katie Dhingra, Camille Stander, Maria Ioannou, Derrol Palmer

Research output: Contribution to journalArticle

Abstract

Background
This study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age.

Participants and procedure
Latent class analysis was used to identify homogeneous subgroups of prisoners based on their responses to the 10 questions reflecting criminal intent. Participants were 309 male recidivistic prisoners incarcerated in a maximum security prison. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the association between recidivism and latent classes of criminal intent while controlling for offence type (robbery, violent offences, murder, and multiple offences), number of arrests, and age.

Results
The best fitting latent class model was a three-class solution: ‘High criminal intent’ (49.3%), ‘Intermediate criminal intent’ (41.3%), and ‘Low criminal intent’ (9.4%). The latent classes were differentially related to the external variables (recidivism, violent offences, and age).
Original languageEnglish
Pages (from-to)92-102
Number of pages11
JournalCurrent Issues in Personality Psychology
Volume2
DOIs
Publication statusPublished - 1 Jan 2014

Fingerprint

criminality
offense
prisoner
homicide
correctional institution
police
logistics
regression
Group

Cite this

@article{3357f874cc3f48c0a3f026e6f9d992ac,
title = "Latent classes of criminal intent associated with criminal behaviour",
abstract = "BackgroundThis study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age.Participants and procedureLatent class analysis was used to identify homogeneous subgroups of prisoners based on their responses to the 10 questions reflecting criminal intent. Participants were 309 male recidivistic prisoners incarcerated in a maximum security prison. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the association between recidivism and latent classes of criminal intent while controlling for offence type (robbery, violent offences, murder, and multiple offences), number of arrests, and age.Results The best fitting latent class model was a three-class solution: ‘High criminal intent’ (49.3{\%}), ‘Intermediate criminal intent’ (41.3{\%}), and ‘Low criminal intent’ (9.4{\%}). The latent classes were differentially related to the external variables (recidivism, violent offences, and age).",
keywords = "criminal intent, recidivism, prisoners, latent class analysis",
author = "Daniel Boduszek and Katie Dhingra and Camille Stander and Maria Ioannou and Derrol Palmer",
year = "2014",
month = "1",
day = "1",
doi = "10.5114/cipp.2014.44305",
language = "English",
volume = "2",
pages = "92--102",
journal = "Current Issues in Personality Psychology",
issn = "2353-4192",
publisher = "Termedia Publishing",

}

Latent classes of criminal intent associated with criminal behaviour. / Boduszek, Daniel; Dhingra, Katie; Stander, Camille; Ioannou, Maria; Palmer, Derrol.

In: Current Issues in Personality Psychology, Vol. 2, 01.01.2014, p. 92-102.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Latent classes of criminal intent associated with criminal behaviour

AU - Boduszek, Daniel

AU - Dhingra, Katie

AU - Stander, Camille

AU - Ioannou, Maria

AU - Palmer, Derrol

PY - 2014/1/1

Y1 - 2014/1/1

N2 - BackgroundThis study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age.Participants and procedureLatent class analysis was used to identify homogeneous subgroups of prisoners based on their responses to the 10 questions reflecting criminal intent. Participants were 309 male recidivistic prisoners incarcerated in a maximum security prison. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the association between recidivism and latent classes of criminal intent while controlling for offence type (robbery, violent offences, murder, and multiple offences), number of arrests, and age.Results The best fitting latent class model was a three-class solution: ‘High criminal intent’ (49.3%), ‘Intermediate criminal intent’ (41.3%), and ‘Low criminal intent’ (9.4%). The latent classes were differentially related to the external variables (recidivism, violent offences, and age).

AB - BackgroundThis study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age.Participants and procedureLatent class analysis was used to identify homogeneous subgroups of prisoners based on their responses to the 10 questions reflecting criminal intent. Participants were 309 male recidivistic prisoners incarcerated in a maximum security prison. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the association between recidivism and latent classes of criminal intent while controlling for offence type (robbery, violent offences, murder, and multiple offences), number of arrests, and age.Results The best fitting latent class model was a three-class solution: ‘High criminal intent’ (49.3%), ‘Intermediate criminal intent’ (41.3%), and ‘Low criminal intent’ (9.4%). The latent classes were differentially related to the external variables (recidivism, violent offences, and age).

KW - criminal intent

KW - recidivism

KW - prisoners

KW - latent class analysis

U2 - 10.5114/cipp.2014.44305

DO - 10.5114/cipp.2014.44305

M3 - Article

VL - 2

SP - 92

EP - 102

JO - Current Issues in Personality Psychology

JF - Current Issues in Personality Psychology

SN - 2353-4192

ER -