Emotional intelligence and the dark triad personality traits: A latent profile analysis
Bibliographic record
Abstract
In the current work, the relations between trait emotional intelligence (EI) and the three dark triad (DT) traits of narcissism, Machiavellianism, and psychopathy were further examined. Previous meta-analytic work has revealed significant but small correlations between trait EI and each of the DT traits. Here, latent profile analysis (LPA) was used to go beyond correlation analyses by identifying subgroups of individuals with similar profiles across trait EI and the DT. A total of N = 1026 male (23%) and female (77%) undergraduates participated in the study. Five profiles were identified, the largest one of which manifested intermediate levels of both trait EI and all three DT traits. Of the two profiles with low DT trait levels, one was accompanied by very high EI with the individuals in the other reporting relatively much lower levels of EI. Of the two profiles with high DT trait levels, one was accompanied by very low EI with the individuals in the other reporting relatively much higher levels of EI. Importantly, this latter profile was also characterized by lower of levels of benevolency (i.e., prosociality and positive mood management) and higher levels of malevolency (i.e., antisociality and negative mood management) towards others. Such results highlight the presence of a potential dark side to EI.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".