Examining the Item-Level Structure of the Triarchic Psychopathy Measure: Sharpening Assessment of Psychopathy Constructs
Bibliographic record
Abstract
The Triarchic Psychopathy Measure (TriPM) has emerged as a widely used measure for assessing a three-trait model of disinhibition, meanness, and boldness. Building on recent psychometric work, we examined the TriPM’s item-level factor structure and correlates in both a clinically oriented community sample ( n = 700) and in undergraduates ( n = 527). Our results indicated a replicable three-factor structure generally corresponding with disinhibition, meanness, and boldness, although many items were not clear indicators of their assigned TriPM domain scales. Consequently, these dimensions may be better represented by Alternate Disinhibition (14 items), Boldness (13 items), and Meanness (8 items) domain scales. Additionally, we identified sets of items defining distinct Self-Assurance and Fearlessness dimensions within Boldness and Irresponsibility and Impulsivity dimensions within Disinhibition. We discuss these findings in the context of other recent studies examining the TriPM’s item-level structure, highlighting key future directions for sharpening measurement of the externalizing spectrum.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".