Development and Validation of Research Scales for the Leadership Multi‐rater Assessment of Personality (LMAP)
Bibliographic record
Abstract
This article presents large‐sample developmental and validation research for a set of research scales of an existing 360‐degree personality measure, the LMAP 360 (Leadership Multi‐rater Assessment of Personality). In Study 1 ( N = 1,771), we identified 6 broad domains underlying LMAP item clusters: Neuroticism, Dominance, Enthusiasm, Openness, Agreeableness, and Conscientiousness. Scales measuring these broad domains and their constituent facets showed strong internal consistency, inter‐rater reliability, and self‐informant correlations. In Study 2 ( N = 729 and N = 694), we examined LMAP research scales’ convergent and discriminant validity against three well‐validated personality inventories (Goldberg's adjectives, the Big Five Inventory, and the Big Five Aspects Scales) and one measure of cognitive ability (the International Cognitive Ability Resource). LMAP research scales correlated strongly with corresponding scales from other inventories and were distinct from cognitive ability.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".