Validity and Reliability of the Violence Risk Scale–Youth Sexual Offense Version
Bibliographic record
Abstract
The present study examined the validity and reliability of a youth sexual offense risk assessment and treatment planning tool, the Violence Risk Scale-Youth Sexual Offense Version (VRS-YSO), on a sample of 102 court-adjudicated youth referred to assessment and/or treatment outpatient services followed up an average of 11.7 years in the community. VRS-YSO scores demonstrated "good" to "excellent" interrater reliability (intraclass correlation coefficients [ICCs] = .64-.83). Exploratory factor analysis (EFA) of the static and dynamic items identified three latent dimensions consistent with the extant risk literature labeled Sexual Deviance, Antisocial Tendencies, and Family Concerns. VRS-YSO scores showed strong patterns of convergence with scores from the Estimate of Risk for Adolescent Sexual Offense Recidivism (ERASOR), Juvenile Sex Offender Assessment Protocol-II (J-SOAP-II), and the Juvenile Sexual Offense Recidivism Risk Assessment Tool-II (J-SORRAT-II). VRS-YSO scores, in turn, demonstrated moderate to high predictive accuracy for sexual, violent (sexual and nonsexual), and general recidivism (significant areas under curve [AUCs] = .67-.88). Examination of pre-posttreatment change data on the subset of youth who attended treatment services found VRS-YSO change scores to be significantly associated with reductions in general recidivism, but not other recidivism outcomes. Future research and clinical applications of the VRS-YSO in youth sexual offense assessment and treatment planning are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".