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Interactions Between Factors Related to the Decision of Sex Offenders to Confess During Police Interrogation: A Classification-Tree Approach
Most studies of confessions have looked at the influence of individual factors, neglecting the potential interactions between these factors and their impact on the decision to confess or not during an interrogation. Classification and regression tree analyses conducted on a sample of 624 convicted s...
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Published in: | Sexual abuse 2010-09, Vol.22 (3), p.343-367 |
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creator | Beauregard, Eric Deslauriers-Varin, Nadine St-Yves, Michel |
description | Most studies of confessions have looked at the influence of individual factors, neglecting the potential interactions between these factors and their impact on the decision to confess or not during an interrogation. Classification and regression tree analyses conducted on a sample of 624 convicted sex offenders showed that certain factors related to the offenders (e.g., personality, criminal career), victims (e.g., sex, relationship to offender), and case (e.g., time of day of the crime) were related to the decision to confess or not during the police interrogation. Several interactions were also observed between these factors. Results will be discussed in light of previous findings and interrogation strategies for sex offenders. |
doi_str_mv | 10.1177/1079063210370707 |
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source | Sociological Abstracts; SAGE |
subjects | Adult Canada Careers Classification Confession Crime Criminal Psychology - organization & administration Decisions Defense Mechanisms Health Knowledge, Attitudes, Practice Humans Interviews as Topic Male Middle Aged Personality Police Prisoners - statistics & numerical data Professional-Patient Relations Questioning Sex Offenders Sex Offenses - classification Sex Offenses - statistics & numerical data Sex Offenses - trends Truth Disclosure Victim Offender Relations Victims Young Adult |
title | Interactions Between Factors Related to the Decision of Sex Offenders to Confess During Police Interrogation: A Classification-Tree Approach |
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