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Defining Probability in Sex Offender Risk Assessment
11 Sand Ridge Evaluation Unit, Madison, WI, USA.
Summary
Understanding probability is key to accurately assessing sexual recidivism risk. Bayesian probability, not Frequentist, is the correct approach for individual risk prediction in sex offender assessment.
Area of Science:
- Forensic Psychology
- Risk Assessment
- Probability Theory
Background:
- Actuarial scales for sexual recidivism risk prediction are debated.
- Confusion arises from conflating Frequentist and Bayesian probability definitions.
- Frequentist probability is inappropriately applied to individual risk assessment.
Purpose of the Study:
- To clarify the distinction between Frequentist and Bayesian probability.
- To demonstrate how Bayesian probability resolves issues in sex offender risk assessment.
- To advocate for the use of Bayesian probability in individual risk prediction.
Main Methods:
- Review of Frequentist and Bayesian probability concepts.
- Analysis of their application in risk assessment.
- Conceptual framework for applying Bayesian probability to sexual recidivism.
Main Results:
- Frequentist probability is not applicable to single-case predictions.
- Bayesian probability is inherently suited for individual risk assessment.
- The Bayesian framework offers a coherent method for sex offender risk evaluation.
Conclusions:
- The distinction between probability types is critical for accurate risk assessment.
- Bayesian probability provides a robust and coherent framework for predicting individual sexual recidivism.
- Wider adoption of Bayesian methods is recommended for sex offender risk assessment.
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