Risk-Need-Responsivity Model for Offender Assessment and Rehabilitation

Overview of the Risk-Need-Responsivity (RNR) Model for Offender Assessment and Rehabilitation

Authors

  • James Bonta, Public Safety Canada
  • D. A. Andrews, Carleton University

Publication Information

  • Year: 2007
  • © Her Majesty the Queen in Right of Canada, 2007
  • Cat. No.: PS3-1/2007-6
  • ISBN No.: 978-0-662-05049-0

Acknowledgement

  • Acknowledged critical comments and support from Annie Yessine in report preparation.
  • Opinions are those of the authors and do not necessarily reflect views of Public Safety Canada.

Abstract

  • Development Timeline: RNR model developed in 1980s, formalized in 1990.
  • Purpose: Used for assessing and rehabilitating offenders in Canada and globally.
  • Core Principles:
    1. Risk Principle: Focuses on higher risk offenders for treatment.
    2. Need Principle: Targets criminogenic needs in treatment design.
    3. Responsivity Principle: Describes the method of delivering treatment.
  • The paper outlines the development of risk assessment tools and the efficacy of various interventions.

Introduction

  • Influence: The RNR model is a leading framework for assessing/treating offenders.
  • Theoretical Foundation: Contextualized within general personality and cognitive social learning theory (Andrews & Bonta, 2006).
  • Core Principles:
    • Risk Principle: Tie service level to offender risk of re-offending.
    • Need Principle: Assess and treat criminogenic needs.
    • Responsivity Principle: Maximize learning through tailored, cognitive-behavioral interventions.
  • Responsivity Details:
    • General Responsivity: Employs cognitive social learning methods.
    • Specific Responsivity: Tailors interventions based on individual characteristics (e.g., learning style, motivation).

A Brief History of Risk Assessment

First Generation: Professional Judgement

  • Early 20th century risk assessment based on correctional staff and clinician's judgments.
  • Decisions driven by professional experience led to inconsistent risk evaluations.

Second Generation: Evidence-based Tools

  • 1970s marked a shift to using actuarial approaches in assessing risk.
  • Actuarial tools evaluate risk factors quantitatively (e.g., substance abuse history).
  • Examples:
    • Salient Factor Score (Hoffman & Beck, 1974).
    • Statistical Information on Recidivism (Nuffield, 1982).
  • Findings showed actuarial tools out-perform professional judgment in predicting recidivism.

Shortcomings of Second Generation

  • Instruments were atheoretical, focusing on readily available data rather than theoretical foundations.
  • Ingredients in these instruments often overlooked dynamic factors (factors subject to change) and mainly focused on static ones (history-based).

Third Generation: Evidence-based and Dynamic

  • Late 1970s/early 1980s experiments identified dynamic risk factors alongside static ones.
  • Instruments began considering current situations (e.g., jobs, relationships) impacting risk.
  • Examples include theoretically based risk-need tools like the Level of Service Inventory-Revised.
  • Changes in dynamic scores correlated with recidivism changes, leading to better assessment monitoring.

Fourth Generation: Systematic and Comprehensive

  • Fourth generation instruments integrated systematic interventions with broader assessments.
  • Example: Level of Service/Case Management Inventory (LS/CMI).
  • Highlighted the contribution of the RNR model to newer tools.

RNR Model and Offender Risk Assessment

Risk Principle

  • Indicates recidivism decreases when treatment intensity matches the offender's risk level.
  • Incorporates two components: level of treatment provided and offender's risk assessment.
  • Evidence backs that reliable predictions and re-assessments improve predictive accuracy.

Need Principle

  • Stresses importance of focusing treatment on criminogenic needs directly linked to offending behavior.
  • Criminogenic needs pertain to dynamic factors that can evolve, unlike static risk factors.
  • Identifies major predictors termed the Central Eight risk/needs factors establishing target areas for interventions.

Responsivity Principle

  • General Responsivity: Advocates cognitive-social learning for behavioral change.
    • Establishing a respectful relationship boosts treatment effectiveness.
  • Specific Responsivity: Tailors interventions to fit individual strengths and learning styles.
    • Adjusting teaching styles to accommodate different learning types is crucial for treatment success.

Offender Rehabilitation

Brief History

  • Research shows effective interventions can lower recidivism rates.
  • Early studies (e.g., Kirby, 1954) suggested treatment reduces recidivism, although results were inconsistent.
  • Martinson's influential review (1974) claimed most interventions were ineffective, leading to a 'nothing works' philosophy.
  • This assertion shifted focus from rehabilitation to punitive approaches.

RNR Model and Rehabilitation

  • The risk principle re-emphasizes predicting behavior correctly to match levels of intervention with offender risk.
  • Higher risk offenders inherently possess more criminogenic needs, thereby requiring more intensive interventions.
  • Evidence suggests that treatment intensity must correspond to offenders' risk levels, leading to significantly reduced recidivism rates.
  • Figures illustrating effectiveness:
    • Intensive treatment for high-risk offenders reduced recidivism by approx. 10%.
    • Low-risk offenders may increase recidivism slightly if given intensive treatment.

Effectiveness of RNR Principles in Treatment

  • Addressing criminogenic needs can yield up to a 19% decrease in recidivism.
  • Applying cognitive behavioral methods leads to an average of 23% decrease in recidivism.
  • Integrating all three principles (risk, need, responsivity) can further enhance effectiveness with an up to 35% reduction in recidivism.
  • Comparison of intervention effectiveness indicates RNR's potential improvement over traditional law enforcement approaches.

Generality of the RNR Model

  • GPCSL perspective reflects underlying psychology applicable to a range of offender types (e.g., female, mentally disordered, young offenders, etc.).
  • Criminal behavior viewed through reward/cost perspectives informs assessment and treatment approaches.

Summary and Conclusions

  • RNR model has significantly improved the ability of correctional facilities to differentiate and manage offenders effectively.
  • Despite recognizing limitations, RNR shows marked enhancements compared to previous methods and highlights the essential nature of criminogenic need assessment in rehabilitation.
  • The challenge remains in successful real-world application of RNR principles amid diverse correctional policies and staff training.

Principles of Effective Offender Assessment and Treatment (Summary Table)

  • Risk: Align services with risk of re-offending.
  • Need: Focus treatment on criminogenic needs.
  • Responsivity: Tailor interventions to individuals.
  • Structured Assessment: Use standardized instruments for risk evaluation.
  • Program Delivery: Engage higher-risk individuals with adequately resourced interventions in community settings.

Appendix: References

(A detailed and extensive list of references related to risk-need-responsivity research and findings.)