A confirmatory factor analysis of a self‐report version of the Liebowitz Social Anxiety Scale
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Bibliographic record
Abstract
One of the most popular measures of social phobia is the Liebowitz Social Anxiety Scale (LSAS; Liebowitz, 1987). The LSAS is a 24-item semi-structured interview measure of fear and avoidance experienced in a range of social and performance situations. Recently, the LSAS has been modified to a self-report version (LSAS-SR) by several independent groups (Cox, Ross, Swinson, & Direnfeld, 1998; Fresco et al., 2001; Mancini, Van Ameringen, & Oakman, 1999). A self-report version offers ease of administration, but it may differ from the structured interview version in its psychometric properties. We conducted confirmatory factor analyses of the self-report version of the LSAS using data from a sample of 188 outpatients with anxiety disorders. The structure and psychometric properties of the LSAS-SR are highly similar to that of the LSAS and robust across groups of patients with a variety of primary anxiety disorders. We argue in favor of adopting the 4-factor model for the LSAS proposed by Safren et al. (1999) instead of the models implied by the scoring instructions for the LSAS.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it