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Contributions of sociodemographic factors to criminal behavior

We explored the extent to which prisoner sociodemographic variables (age, education, marital status, employment, and whether their parents were married or not) influenced offending in 64 randomly selected Brunei inmates, comprising both sexes. A quantitative field survey design ideal for the type of...

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Autores principales: Mundia, Lawrence, Matzin, Rohani, Mahalle, Salwa, Hamid, Malai Hayati, Osman, Ratna Suriani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922861/
https://www.ncbi.nlm.nih.gov/pubmed/27382342
http://dx.doi.org/10.2147/PRBM.S95270
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author Mundia, Lawrence
Matzin, Rohani
Mahalle, Salwa
Hamid, Malai Hayati
Osman, Ratna Suriani
author_facet Mundia, Lawrence
Matzin, Rohani
Mahalle, Salwa
Hamid, Malai Hayati
Osman, Ratna Suriani
author_sort Mundia, Lawrence
collection PubMed
description We explored the extent to which prisoner sociodemographic variables (age, education, marital status, employment, and whether their parents were married or not) influenced offending in 64 randomly selected Brunei inmates, comprising both sexes. A quantitative field survey design ideal for the type of participants used in a prison context was employed to investigate the problem. Hierarchical multiple regression analysis with backward elimination identified prisoner marital status and age groups as significantly related to offending. Furthermore, hierarchical multinomial logistic regression analysis with backward elimination indicated that prisoners’ age, primary level education, marital status, employment status, and parental marital status as significantly related to stealing offenses with high odds ratios. All 29 nonrecidivists were false negatives and predicted to reoffend upon release. Similarly, all 33 recidivists were projected to reoffend after release. Hierarchical binary logistic regression analysis revealed age groups (24–29 years and 30–35 years), employed prisoner, and primary level education as variables with high likelihood trends for reoffending. The results suggested that prisoner interventions (educational, counseling, and psychotherapy) in Brunei should treat not only antisocial personality, psychopathy, and mental health problems but also sociodemographic factors. The study generated offending patterns, trends, and norms that may inform subsequent investigations on Brunei prisoners.
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spelling pubmed-49228612016-07-05 Contributions of sociodemographic factors to criminal behavior Mundia, Lawrence Matzin, Rohani Mahalle, Salwa Hamid, Malai Hayati Osman, Ratna Suriani Psychol Res Behav Manag Original Research We explored the extent to which prisoner sociodemographic variables (age, education, marital status, employment, and whether their parents were married or not) influenced offending in 64 randomly selected Brunei inmates, comprising both sexes. A quantitative field survey design ideal for the type of participants used in a prison context was employed to investigate the problem. Hierarchical multiple regression analysis with backward elimination identified prisoner marital status and age groups as significantly related to offending. Furthermore, hierarchical multinomial logistic regression analysis with backward elimination indicated that prisoners’ age, primary level education, marital status, employment status, and parental marital status as significantly related to stealing offenses with high odds ratios. All 29 nonrecidivists were false negatives and predicted to reoffend upon release. Similarly, all 33 recidivists were projected to reoffend after release. Hierarchical binary logistic regression analysis revealed age groups (24–29 years and 30–35 years), employed prisoner, and primary level education as variables with high likelihood trends for reoffending. The results suggested that prisoner interventions (educational, counseling, and psychotherapy) in Brunei should treat not only antisocial personality, psychopathy, and mental health problems but also sociodemographic factors. The study generated offending patterns, trends, and norms that may inform subsequent investigations on Brunei prisoners. Dove Medical Press 2016-06-22 /pmc/articles/PMC4922861/ /pubmed/27382342 http://dx.doi.org/10.2147/PRBM.S95270 Text en © 2016 Mundia et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Mundia, Lawrence
Matzin, Rohani
Mahalle, Salwa
Hamid, Malai Hayati
Osman, Ratna Suriani
Contributions of sociodemographic factors to criminal behavior
title Contributions of sociodemographic factors to criminal behavior
title_full Contributions of sociodemographic factors to criminal behavior
title_fullStr Contributions of sociodemographic factors to criminal behavior
title_full_unstemmed Contributions of sociodemographic factors to criminal behavior
title_short Contributions of sociodemographic factors to criminal behavior
title_sort contributions of sociodemographic factors to criminal behavior
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4922861/
https://www.ncbi.nlm.nih.gov/pubmed/27382342
http://dx.doi.org/10.2147/PRBM.S95270
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