Psychometric Properties of the MAYSI-2 Among Latino Adolescent Offenders
Bibliographic record
Abstract
The Massachusetts Youth Screening Inventory-Second Version (MAYSI-2) has been widely adopted by juvenile justice agencies to identify adolescents in the juvenile justice system who have a mental disorder. Despite this, evidence of the ability of the MAYSI-2 to generalize across different ethnic groups is limited. Because Latinos are overrepresented in the juvenile justice system, we examined the psychometric properties of each subscale in a sample of 472 Latino juvenile offenders using confirmatory factor analyses (CFA), Pearson’s correlation coefficients, and simple linear regressions. The CFA models suggest adequate fit for Latino youth, and the correlations and regressions show strong convergent validity with the K-SADS-PL for a number of MAYSI-2 subscales, lending support to the generalizability of the MAYSI-2 to Latino adolescents. These results may be particularly beneficial for juvenile justice system administrators who render mental health treatment recommendations for youth offenders of different ethnicities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".