Self-report version of the Liebowitz Social Anxiety Scale: Psychometric properties of the French version.
Bibliographic record
Abstract
One of the most popular measures of social anxiety is the Liebowitz Social Anxiety scale (LSAS). Recently, the LSAS has been converted into a self-reported format (LSAS-SR). Yao et al. (1999) has adapted the LSAS and LSAS-SR into French. They reported no difference between both versions. However, Yao et al. (1999) did not assess the score reliability and structural validity of the scale. In addition, no study to date has examined the test–retest reliability of the French version LSAS-SR. The present study was designed to overcome these limitations. In a first sample, 428 French speaking volunteers (292 women) were administered the French version of the LSAS-SR. In a second sample, 114 participants were administered the LSAS-SR twice over an 8-week period. Confirmatory factor analyses establish the structural validity of the French version of the LSAS-SR. Good psychometric properties, including test–retest reliability, are also observed.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".