Volume 11, Issue 7 (July 2024), Pages: 63-68

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 Original Research Paper

Regression model for a drug-related crime reduction

 Author(s): 

 Januaryn Jose B. Aydinan *

 Affiliation(s):

 College of Criminology, Nueva Ecija University of Science and Technology, Cabanatuan, Philippines

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0009-0009-3244-7708

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.07.008

 Abstract

Globally, drug-related offenses present a significant challenge, necessitating the development of effective prevention strategies. This abstract describes a regression model designed to address the complex dynamics of drug-related crimes. Using data from parents, faculty, and youth at a university, including demographic profiles and other drug-related information, the model identifies key factors contributing to the potential prevention of drug-related crimes. Through regression analysis, the model quantifies the relationships between these variables and provides insights into the causes of drug-related criminal behavior based on respondents' observations. The model identifies the most influential predictors of reducing drug-related crimes through careful preprocessing and feature selection, enabling a targeted approach to crime prevention and intervention strategies. The results show that each approach within the drug prevention model is significant. Notably, the findings indicate that parental involvement has the greatest impact on reducing drug criminality. Teachers contribute by focusing on the effects of drugs through seminars and integrating this information into their subjects. The community can also promote sports-related activities to divert youth interest. It is anticipated that these efforts will be effective because parents are already actively advising and educating their children.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Drug-related offenses, Regression model, Prevention strategies, Parental involvement, Crime prevention

 Article history

 Received 16 January 2024, Received in revised form 16 June 2024, Accepted 1 July 2024

 Acknowledgment 

No Acknowledgment.

 Compliance with ethical standards

 Ethical considerations

This study complied with all relevant ethical guidelines. Prior to data collection, necessary permissions were obtained, and informed consent was secured from participants. The confidentiality and anonymity of respondents were strictly maintained, with data securely stored and accessible only to the research team. The study adhered to the Declaration of Helsinki principles and followed Institutional Review Board (IRB) guidelines. 

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Aydinan JJB (2024). Regression model for a drug-related crime reduction. International Journal of Advanced and Applied Sciences, 11(7): 63-68

 Permanent Link to this page

 Figures

 Fig. 1

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Table 8 Table 9 Table 10 

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