Validation and factor structure of the Highly Sensitive Person Scale – Canadian French version and associations with personality and mental health
Bibliographic record
Abstract
The Highly Sensitive Person Scale (HSPS) measures Sensory Processing Sensitivity, a trait capturing individual differences in environmental sensitivity. This study of 186 young adults aimed to (1) validate and examine the factor structure of a Canadian French translation of the HSPS, (2) test associations with personality traits and mental health symptoms, and (3) investigate the moderating role of sex. Confirmatory factor analyses supported correlated two- and three-factor models. Path analyses showed that the HSPS subfactors were differentially associated with personality and mental health outcomes. Aesthetic Sensitivity was associated with more positive features of personality and mental health, whereas Ease of Excitation and Low Sensory Threshold were associated with more negative features. Sex moderated associations between HSPS subfactors and lack of perseverance, negative urgency, sensation seeking and prosocial behaviour, with stronger effects in males. The scale demonstrated good psychometric properties, supporting the validity of the Canadian French version.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".