Violent attitudes in Portugal and Canada: Measurement invariance and psychometric properties of the Evaluation of Violence Questionnaire
Bibliographic record
Abstract
Theory and evidence suggest that attitudes toward violence are relevant for the explanation, prediction, and reduction of violent behavior. The purpose of the present study was to adapt a measure of violent attitudes-the Evaluation of Violence Questionnaire (EVQ)-for use in Portugal, test the cross-country equivalence, and test the validity of both versions. We found the expected one-factor structure, high internal consistency, and cross-country measurement invariance for the Portuguese and original EVQ with men in Portugal (N = 320) and Canada (N = 298). We also found the expected pattern of correlations with measures of more versus less theoretically relevant constructs: both versions of the EVQ showed the strongest correlations with overall aggression and reactive aggression; slightly lower correlations with proactive aggression; negative correlations with self-control; and the smallest correlations with self-esteem. Our results support the equivalence, reliability, and validity of the Portuguese and original versions of the EVQ.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".