Measurement Invariance of Two Different Short Forms of Social Interaction Anxiety Scale (SIAS) and Social Phobia Scale (SPS) in Chinese and US Samples
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Bibliographic record
Abstract
Abstract. The goal of this study was to examine the measurement invariance of two different commonly used short forms of the Social Interaction Anxiety Scale (SIAS) and the Social Phobia Scale (SPS) across Chinese and US samples. Participants were 850 (52% females) Chinese and 399 (57% females) US undergraduate students. A two-factor model was identified as the best fitting baseline model for both short-forms of the SIAS and SPS. Full scalar invariance was established for the Peters short form, whereas the Fergus short form only achieved partial scalar invariance. Results of structured means analysis indicated that Chinese participants scored higher than US participants in social anxiety. Some cultural implications for the use of these two sets of short forms are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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