Structure, stability, and mean-level change in adolescent HEXACO personality traits using the HEXACO-SPI
Bibliographic record
Abstract
We used a new English version of the HEXACO-Simplified Personality Inventory (HEXACO-SPI) to examine (1) its dimensional structure and (2) the developmental stability and mean-level changes in its personality traits among adolescents. Our results showed that the HEXACO-SPI factor scales were consistent with the a priori hypothesized six-factor structure of HEXACO personality and that the HEXACO-SPI domain scales demonstrated sufficiently high levels of internal reliability, differentiation, and invariance across time. Stability was shown for all domain scales, but especially when considering 1-year estimates (versus 3 or 4-year estimates). Mean-level decreases were observed in Honesty-Humility, Extraversion, Agreeableness, and Conscientiousness, with stability in Emotionality and Openness to Experience. Our findings inform research on HEXACO personality in adolescence, including stability and change.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".