Psychometric evaluation of the Social Interaction Phobia Scale
Bibliographic record
Abstract
The present study evaluated the psychometric properties of a novel measure of social anxiety symptoms, the Social Interaction Phobia Scale (SIPS), as a stand-alone item set, using an undergraduate sample (N=512). The 14-item SIPS has three subscales assessing Social Interaction Anxiety, Fear of Overt Evaluation, and Fear of Attracting Attention. Confirmatory factor analyses replicated the three-factor structure for the SIPS originally reported by Carleton et al. All SIPS scores demonstrated good internal consistency. The convergent validity of the SIPS was supported by strong and positive correlations between all SIPS scores and measures of social anxiety and fear of evaluation; the finding that the relationships between all SIPS scores and a social anxiety measure were stronger than relationships between all SIPS scores and measures of other constructs supported the discriminant validity of the SIPS. Results suggest that the SIPS possesses excellent psychometric properties.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".