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Latent Class Analysis of Criminal Social Identity in a Prison Sample

Boduszek, Daniel, O'Shea, Catherine, Dhingra, Katie and Hyland, Philip (2014) Latent Class Analysis of Criminal Social Identity in a Prison Sample. Polish Psychological Bulletin, 45 (2). pp. 192-199. ISSN 0079-2993

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Abstract

This study aimed to examine the number of latent classes of criminal social identity that exist among male recidivistic prisoners. Latent class analysis was used to identify homogeneous groups of criminal social identity. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the associations to number of police arrests, recidivism, and violent offending while controlling for current age. The best fitting latent class model was a five-class solution: ‘High criminal social identity’ (17%), ‘High Centrality, Moderate Affect, Low Ties’ (21.7%), ‘Low Centrality, Moderate Affect, High Ties’ (13.3%), ‘Low Cognitive, High Affect, Low Ties’ (24.6%), and ‘Low criminal social identity’ (23.4%). Each of the latent classes was predicted by differing external variables. Criminal social identity is best explained by five homogenous classes that display qualitative and quantitative differences.

Item Type: Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > H Social Sciences (General)
Schools: School of Human and Health Sciences
School of Human and Health Sciences > Centre for Applied Psychological Research
Related URLs:
Depositing User: Daniel Boduszek
Date Deposited: 07 Jan 2014 16:21
Last Modified: 01 Dec 2015 10:32
URI: http://eprints.hud.ac.uk/id/eprint/19430

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