Propensity to Morally Disengage Scale: Psychometric Properties and Measurement Invariance Among a Portuguese Sample
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Bibliographic record
Abstract
The propensity to morally disengage can be an essential driver of unethical, antisocial, and criminal behavior. The present study examines the psychometric properties of the Propensity to Morally Disengage Scale (PMDS) among a convenience sample of 242 male and female participants (M = 30.19 years, SD = 12.78, range = 16–77) from Portugal. The expected one-factor structure obtained an adequate fit using confirmatory factor analysis. Internal consistency/reliability was adequate as measured by the alpha and omega coefficients. Convergent validity (i.e. with dark traits, low self-control, violence evaluation, and antisociality/criminality tendencies measures), divergent validity (i.e. with basic empathy and light traits of personality measures), and criterion-related validity (e.g. with trouble with the law, arrested by police, sentenced to prison variables) were demonstrated with Pearson and point-biserial correlations. Measurement invariance across gender was established. Significant gender differences in the PMDS scores were found, with males scoring significantly higher than females. Our findings support using the PMDS Portuguese version as a short, valid, and reliable measure of moral disengagement.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it