Nonverbal assessment of the Big Five personality factors
Bibliographic record
Abstract
The Nonverbal Personality Questionnaire (NPQ) is an experimental, structured, nonverbal measure of 16 personality traits. Its items lack verbal content and, therefore, the inventory is useful for cross‐cultural research. Our goal is this research was to select a subset of the NPQ items to form a new nonverbal questionnaire based on the Five‐Factor Model of personality. We describe the construction of the Five‐Factor Nonverbal Personality Questionnaire (FF‐NPQ), and present data on its psychometric properties. These data include scale internal consistencies, intercorrelations, convergences with verbal measures of the Big Five factors, discriminant validity correlations, correlations with peer ratings, and ability to predict socially important behaviour criteria such as smoking and alcohol consumption. In a second study, we report on the psychometric properties of the FF‐NPQ in an independent sample of respondents from seven different countries. The utility of the new nonverbal inventory for cross‐cultural research is discussed. Copyright © 2001 John Wiley & Sons, Ltd.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".