Psychometric Evaluation of the Social Anxiety Scale for Adolescents in a School-based Sample of Korean Youths: A Rasch Analysis
Bibliographic record
Abstract
PURPOSE: This study evaluated the Korean Social Anxiety Scale for Adolescents (K-SAS-A) using Rasch analysis, examined gender-related differential item functioning (DIF), and assessed measurement precision in a school-based sample. METHODS: Self-report data from 481 Korean adolescents (ages 14-16; 49.9% girls) were analyzed with the Andrich Rating Scale Model. We evaluated category functioning, item fit, dimensionality (PCA of residuals), local independence (residual correlations), reliability/separation, and gender DIF (ETS classification). RESULTS: The original five-category scale showed insufficient separation between categories 2 and 3; collapsing to a four-category format improved category functioning and overall fit. Seven items (#2, #5, #9, #10, #11, #13, #15) were removed based on misfit and content considerations. The refined instrument satisfied unidimensionality (first contrast eigenvalue = 1.8) and local independence (residual |r| ≤ .28). Person separation = 2.22 (reliability = .83; ≈3.3 strata); item separation = 8.11 (reliability = .99). In the full item set, two items (#1, #18) showed slight-to-moderate gender DIF; no meaningful DIF remained in the proposed nine-item short form, which consists of items #3, #4, #6, #7, #8, #12, #14, #16, and #17. CONCLUSIONS: A four-category response format and a nine-item short form yield a unidimensional, reliable measure of adolescent social anxiety with reduced respondent burden. Minor redundancy between two items (#6, #12) warrants consideration in future refinements.
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How this classification was reachedexpand
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.025 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".