Oye, Adeniyi Joseph (2022) INDIGENOUS CRIME CONTROL MECHANISMS AND CRIME CONTROL IN SELECTED COMMUNITIES IN NORTH CENTRAL STATES, NIGERIA. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, Landmark University, Omu Aran, Kwara State.
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OYE ADENIYI JOSEPH (THESIS).docx Download (1MB) |
Abstract
The incidence of crime has been increasing globally, and Nigeria is no exception. Despite the government's significant investment in controlling crime, the continued rise in crime is concerning, particularly due to the neglect of indigenous crime control mechanisms. To address this issue, this study was conducted to identify various types of indigenous crime control mechanisms, their common principles and characteristics, their effectiveness in preventing crime, their efficiency in detecting crime, as well as their usefulness and appropriateness in punishing crime in selected communities in the North Central States of Nigeria. The research design was both exploratory and descriptive in nature. The study utilized a conceptual framework that integrated the social control and broken windows theories. It employed mixed method approaches, including both qualitative and quantitative data collection techniques, such as key informant interviews and questionnaires. Data were gathered from primary and secondary sources from a total of 393 respondents and 25 key informants located in 11 different cities. The analysis of the data utilized content analysis for the qualitative data and frequency counts, percentages, and simple regression for the quantitative data. The qualitative data results, coupled with the quantitative analysis, demonstrate that indigenous crime control methods are affordable, accessible, locally sourced, and highly effective in addressing crime in society. The study's hypotheses have confirmed that the indigenous crime control approach significantly influences crime control in the area under examination, with a p-value of 0.000. The model summary table illustrates the degree to which the independent variable (Indigenous crime control mechanism) explains the dependent variable (preventing, detecting, and punishing crime) variance. In this case, the R square values indicate determination coefficients of 46.2%, 46.0%, and 47.4%, while the adjusted R square values are 46.1%, 45.9%, and 47.2%. The results suggest that the effectiveness of Indigenous crime control mechanisms can be predicted by the methods employed for preventing, detecting, and punishing crime. The values of .53323, .52694, and .57127 represent the standard errors of the estimates, which indicate the margin of error. These findings indicate that the Indigenous crime control mechanism played a significant role in preventing, detecting, and punishing crime, accounting for 46.1%, 45.9%, and 47.2% of the variation in each respective area. Therefore, it can be inferred that the Indigenous crime control mechanism had a significant impact on controlling crime in the study areas. The research revealed that there is a requirement for adequate support from the government, including sufficient funding, the provision of logistics and crime-fighting equipment, and training in human and legal issues. This support indicates that the government acknowledges the effectiveness of indigenous crime control mechanisms in the studied region. To further reinforce this recognition, the indigenous crime control mechanisms should be integrated into the criminal justice system of the state. The government must also provide recognition for the intellectual property rights of indigenous crime control practitioners to prevent the proliferation of crime control methods. Keywords: Crime prevention, Crime detection, Crime punishment, Crime control, Indigenous crime control mechanisms
Item Type: | Thesis (["eprint_fieldopt_thesis_type_phd" not defined]) |
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Subjects: | H Social Sciences > HM Sociology |
Divisions: | Faculty of Law, Arts and Social Sciences > School of Social Sciences |
Depositing User: | Mr DIGITAL CONTENT CREATOR LMU |
Date Deposited: | 25 Feb 2025 11:00 |
Last Modified: | 25 Feb 2025 11:00 |
URI: | https://eprints.lmu.edu.ng/id/eprint/5603 |
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