Evaluating the Psychometric Properties of the Short Dark Triad (SD3) in Italian Adults and Adolescents
Bibliographic record
Abstract
Abstract. The term Dark Triad refers to three socially aversive personality dimensions (i.e., Machiavellianism, narcissism, and psychopathy) that are evident in the normal range of personality. Jones and Paulhus (2014) developed the Short Dark Triad (SD3) as a 27-item measure of the three constructs. To assess the psychometric properties of the Italian translation, 678 adult university students and 442 adolescent high school students were sampled. Cronbach’s α values for the subscales were acceptable in both samples. Subscale intercorrelations ranged from .29 to .55 in adults and .29 to .53 in adolescents. Although subscale means were higher in the adolescent sample, the two item correlation matrices did not differ significantly. A confirmatory factor analysis using multidimensional full-information item response theory showed that a three-correlated-factor model provided the best fit in both adults and adolescents. When controlled for overlap, SD3 subscales showed adequate convergent and discriminant validity coefficients in both samples. The current research contributes to the literature on dark personalities in two ways: (a) It provides detailed psychometric support for the Italian translation of SD3 and (b) it directly compares SD3 performance in younger and older students.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".