Validation of the Social Appearance Anxiety Scale in Female Eating Disorder Patients
Bibliographic record
Abstract
In the present study, we investigated the psychometric properties of the Social Appearance Anxiety Scale (SAAS) in a sample of 60 female eating disorder patients (M(age) = 27.82, SD = 9.76). The SAAS was developed to assess anxiety about being negatively evaluated for one's appearance. All patients completed the SAAS, the Eating Disorder Inventory-2, the Physical Health Questionnaire-9 Depression and the Dimensional Assessment of Personality Psychopathology. The SAAS demonstrated a one-factor structure and a high internal consistency. The SAAS was significantly positive in relation to body mass index, drive for thinness and body dissatisfaction. Concerning personality dimensions, the SAAS was positively related to emotional problems (e.g. depression, anxiety) and interpersonal problems (e.g. suspiciousness, submissiveness). Findings suggest that the SAAS is a psychometrically sound instrument to assess anxiety about being negatively evaluated about one's appearance in a sample of eating disorder patients.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".