The Narcissistic Grandiosity Scale and Narcissistic Vulnerability Scale
Bibliographic record
Abstract
Abstract: The 7-item Narcissistic Grandiosity Scale (NGS-7) and 11-item Narcissistic Vulnerability Scale (NVS-11) are two efficient and flexible measures of grandiose and vulnerable narcissism, respectively. Both scales demonstrate evidence of convergent, discriminant, and criterion validity, but their factor structure and gender/sex-based measurement invariance have received less attention. Their relationships with the HEXACO (Honesty-humility, Emotionality, eXtraversion, Agreeableness, Conscientiousness, and Openness) have also rarely been examined. Using a large sample of Canadian adults ( N = 1,725), we evaluated the convergent validity, factor structure, and gender/sex-based measurement invariance of the NGS-7 and NVS-11. Confirmatory factor analysis revealed that a one-factor model was a poor fit for both the NGS-7 and NVS-11. Modifications did not substantially improve fit for the NVS-11. However, including one correlated error term between “Authoritative” and “Dominant” led to much greater fit, and the NGS-7 demonstrated configural, metric, scalar, and residual invariance between men and women. The NGS-7 was strongly associated with honesty-humility and extraversion, and its strongest facet-level correlates were modesty (honesty-humility) and social boldness (extraversion). In summary, the revised NGS-7 demonstrated evidence of unidimensionality, gender/sex-based invariance, and convergent validity. The unidimensionality of the NVS-11 was not supported, and the scale may need to be revised.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".