Grandiose narcissism indirectly associates with lower psychopathology across five countries
Bibliographic record
Abstract
Using five independent non-clinical cross-cultural samples (total N = 3649; overall Mage = 29.31; 31% male and 69% female), this study explored the extent to which Dark Triad traits were indirectly associated with symptoms of psychopathology through mental toughness. Although Machiavellianism and psychopathy have not been studied extensively in this context, previous research (both cross-sectional and longitudinal) reports that grandiose narcissism increases mental toughness contributing indirectly to positive outcomes such as lower anxiety, stress, and depression. Accordingly, this study examined Machiavellianism, psychopathy, and narcissism in the context of mental toughness and psychopathology. A particular focus was placed on investigating negative relationships between grandiose narcissism and psychopathology. Participants completed self-report measures assessing the Dark Triad, mental toughness, and psychopathology. In all samples, grandiose narcissism exerted moderate negative, indirect associations with anxiety, stress, and depression through mental toughness. Relationships between Machiavellianism and psychopathy and psychopathology were generally weak and positive but varied across countries. Findings provided further cross-cultural support for a mediation model in which grandiose narcissism is related to higher mental toughness and lower psychopathology. Outcomes from this study indicate that exploration of the link between grandiose narcissism and resilience traits such as mental toughness can provide important conceptual insights into the adaptive properties of narcissism, and help to explain why grandiose narcissism is associated with a decrease in some psychopathological symptoms.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".