Applying the risk-need-responsivity model in juvenile offender treatment: A conceptual framework
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl-2.04Keywords:
Juvenile delinquency, Offender treatment, The RNR model, Juvenile justice system.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Juvenile crime in India is a pressing issue that requires tailored rehabilitation approaches. This paper explores the application of the "Risk-Need-Responsivity (RNR) model" as a conceptual model for treating juvenile offenders within the Indian legal context. The study reviews correctional practices and highlights the need for structured offender treatment based on the 'RNR model's' core principles of 'risk,' 'need,' and 'responsivity.' Drawing on criminological theories and empirical evidence, the paper emphasizes the significance of addressing criminogenic factors to reduce recidivism. By analyzing existing literature on juvenile justice, the paper demonstrates how the RNR model, typically employed in Western contexts, can be adapted for India's socio-cultural environment to enhance the effectiveness of juvenile rehabilitation. The findings suggest that integrating RNR-informed interventions into the juvenile justice system can improve long-term rehabilitation outcomes and reduce re-offense rates among young offenders.Abstract
How to Cite
Downloads
Similar Articles
- Rahul ., Naveen Sharma, Effect of Suspended Particles on a Couple-Stress Rivlin-Ericksen Ferromagnetic Fluid Heated from Below in a Porous Medium, with Varying Gravity and Magnetic Field. , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- P. Pattunnarajam, Janani G, A. Vijayaraj, Sathiya Priya S, Enhanced routing strategy of wireless sensor network based on fifth generation communication technology , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Shahala Sheikh, Lalsingh Khalsa, Nitin Chandel, Vinod Varghese, Hygrothermoelastic large deflection behaviour in a thin circular plate with non-Fourier and non-Fick law , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Nagarani, Amalraj P., Lakshay Phor, Nishank S. Pimple, Banashree Sen, Ramaprasad Maiti, Vikas S. Jadhav, Innovative technological advancements in solving real quadratic equations: Pioneering the frontier of mathematical innovation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Josephine Theresa S, Graph Neural Network Ensemble with Particle Swarm Optimization for Privacy-Preserving Thermal Comfort Prediction , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Nilam Priyadarshini, Prashant Kumar, ECOLOGICAL STATUS AND PERFORMANCE THROUGH POND ECOSYSTEM WITH PERSPECTIVES FOR FUTURE CONSERVATION , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Sheena Edavalath, Manikandasaran S. Sundaram, MARCR: Method of allocating resources based on cost of the resources in a heterogeneous cloud environment , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Rajni Thapa, S. Victor Devasirvadam, Effect of Aloe vera gel versus olive oil in the prevention of pressure ulcers among bedridden patients: A pilot study , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Neha Verma, Beyond likes & clicks: Empowering role of social media marketing in value creation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Sampa Mondal, Nilanjana Chatterjee, Baibaswata Bhattacharjee, Positive impact of using α-Fe2O3 nanoparticles as dietary supplements on some hematological parameters of an economically important minor carp Labeo bata (Hamilton, 1822) , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 27 28 29 30 31 32 33 34 35 36 > >>
You may also start an advanced similarity search for this article.

