Contributions of sociodemographic factors to criminal behavior
Lawrence Mundia, Rohani Matzin, Salwa Mahalle, Malai Hayati Hamid, Ratna Suriani Osman Psychological Studies and Human Development Academic Group, Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Abstract: W...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2016-06-01
|
| Series: | Psychology Research and Behavior Management |
| Subjects: | |
| Online Access: | https://www.dovepress.com/contributions-of-sociodemographic-factors-to-criminal-behavior-peer-reviewed-article-PRBM |
| _version_ | 1818279361079410688 |
|---|---|
| author | Mundia L Matzin R Mahalle S Hamid MH Osman RS |
| author_facet | Mundia L Matzin R Mahalle S Hamid MH Osman RS |
| author_sort | Mundia L |
| collection | DOAJ |
| description | Lawrence Mundia, Rohani Matzin, Salwa Mahalle, Malai Hayati Hamid, Ratna Suriani Osman Psychological Studies and Human Development Academic Group, Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Abstract: 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. Keywords: crimes, prisoner, sociodemographic, recidivism, interventions, Brunei |
| first_indexed | 2024-12-12T23:32:06Z |
| format | Article |
| id | doaj.art-446d0b8787b249bc85e92dac8674a394 |
| institution | Directory Open Access Journal |
| issn | 1179-1578 |
| language | English |
| last_indexed | 2024-12-12T23:32:06Z |
| publishDate | 2016-06-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Psychology Research and Behavior Management |
| spelling | doaj.art-446d0b8787b249bc85e92dac8674a3942022-12-22T00:07:42ZengDove Medical PressPsychology Research and Behavior Management1179-15782016-06-012016Issue 114715627551Contributions of sociodemographic factors to criminal behaviorMundia LMatzin RMahalle SHamid MHOsman RSLawrence Mundia, Rohani Matzin, Salwa Mahalle, Malai Hayati Hamid, Ratna Suriani Osman Psychological Studies and Human Development Academic Group, Sultan Hassanal Bolkiah Institute of Education, Universiti Brunei Darussalam, Bandar Seri Begawan, Brunei Abstract: 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. Keywords: crimes, prisoner, sociodemographic, recidivism, interventions, Bruneihttps://www.dovepress.com/contributions-of-sociodemographic-factors-to-criminal-behavior-peer-reviewed-article-PRBMCrimesrecidivismageeducationemploymentmarital status. |
| spellingShingle | Mundia L Matzin R Mahalle S Hamid MH Osman RS Contributions of sociodemographic factors to criminal behavior Psychology Research and Behavior Management Crimes recidivism age education employment marital status. |
| 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 | Crimes recidivism age education employment marital status. |
| url | https://www.dovepress.com/contributions-of-sociodemographic-factors-to-criminal-behavior-peer-reviewed-article-PRBM |
| work_keys_str_mv | AT mundial contributionsofsociodemographicfactorstocriminalbehavior AT matzinr contributionsofsociodemographicfactorstocriminalbehavior AT mahalles contributionsofsociodemographicfactorstocriminalbehavior AT hamidmh contributionsofsociodemographicfactorstocriminalbehavior AT osmanrs contributionsofsociodemographicfactorstocriminalbehavior |