Reliability, Construct, and Concurrent Validities of the Self-Appraisal Questionnaire
Bibliographic record
Abstract
The Self-Appraisal Questionnaire (SAQ) is a recently developed self-report questionnaire designed to predict violent and nonviolent offender recidivism. This 67-item, six-subscale tool measures quantitative criminogenic risk-need areas. The SAQ was administered to 303 federally sentenced Canadian male offenders. The total scale test-retest reliability coefficient was .95 and ranged from .69 to .93 for the subscales. Coefficient alphas ranged from .42 to .87. All the subscales with the exception of one had a one-factor solution. The SAQ subscales correlated with other instruments assessing similar constructs and with other measures of recidivism. Offenders with high SAQ totals and subscale scores committed significantly more offenses than did those with low SAQ scores. Similarly, offenders with a history of violence had higher SAQ total scores than the offenders with no history of violence. These preliminary results support the further study of the SAQ as an instrument for predicting violent and nonviolent recidivism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".