Long-Term Follow-Up Data for Sexual Offender Risk Assessment Evaluation

Research data from Raymond A. Knight evaluates and improves risk assessment schemes for sexual recidivism. The dataset likely contains longitudinal follow-up information on convicted sexual offenders. It is published on the paperswithcode platform.

Use Cases

• Benchmarking statistical models for recidivism prediction (inferred from domain, verify after download)
• Analyzing factors correlated with long-term reoffense outcomes (inferred from domain, verify after download)
• Evaluating the fairness and accuracy of different risk assessment instruments (inferred from domain, verify after download)

Strengths

• Published on the paperswithcode platform.
• Authored by a known researcher in the field, Raymond A. Knight.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and file formats are unknown.
• License is listed as closed, which may restrict usage.

Provenance

Source

Raymond A. Knight