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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 1641-7844

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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 > Psychology
H Social Sciences > H Social Sciences (General)
Divisions: School of Business > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 28 May 2014 11:20
Last Modified: 15 May 2018 10:59

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