Can the dark core of personality be measured briefly, multidimensionally, and invariantly? The D25 measure
Bibliographic record
Abstract
The dark core of personality is a recent construct that encompasses the malevolent, antagonistic, and aversive side of human nature that represents the common inner core of dark personality traits. The aim of the present study is to develop a short, multidimensional, and invariant version of the dark core of personality D70 measure. Two samples of participants were used in the current study (N = 570, M = 35.42 years, SD = 11.41, range = 18–69; N = 242, M = 30.19 years, SD = 12.78, range = 16–77). The new D25 measure was developed, consisting of five factors – Callousness, Deceitfulness, Vindictiveness, Narcissistic Entitlement, and Sadism. All the structural models examined obtained adequate fits (1-factor, 5-factor, 5-factor bifactor, 5-factor 2nd order), but the 5-factor 2nd order model was considered the best option. Internal consistency/reliability, as measured by the alpha and omega coefficients and more traditional indicators, was mainly good. Construct validity (e.g., with moral disengagement, low self-control, and empathy measures) and criterion-related validity (e.g., with justice-involvement variables) were demonstrated. Scalar measurement invariance across gender and age was established, with male participants and younger participants scoring significantly higher than female participants and older participants. The findings provide support for the use of the D25 as a valid and reliable short multidimensional measure of the dark core of personality construct.
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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 | 0.007 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".