Continuity and Change in Personality Traits From Adolescence to Midlife: A 25‐Year Longitudinal Study Comparing Representative and Adjudicated Men
Bibliographic record
Abstract
In the first study, a hierarchical structure of personality traits was identified using data from a longitudinal study tracing two samples of men from adolescence to midlife (i.e., a representative sample of the general population and a sample of individuals adjudicated during their adolescence). The second study examined structural, rank-order, and mean-level continuity. Partial structural continuity was demonstrated through confirmatory factor analysis. Regarding rank-order continuity, the correlations were stronger as age increased, particularly for the adjudicated men. For mean-level continuity, the adjudicated men displayed higher scores from adolescence to midlife for nearly every personality trait related to Disinhibition and Negative Emotionality. Significant decreases were observed in these traits for both samples, supporting the hypothesis of a normative psychological maturation. Although both samples showed this maturation, the adjudicated men displayed a lower rate of change during adolescence and early adulthood. The two samples did not differ in Extraversion and this trait remained more stable, particularly for adjudicated men.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".