Rasch analysis and item reduction of the Chinese version of the 20-item Toronto Alexithymia Scale (TAS-20-C) for adolescents
Bibliographic record
Abstract
Introduction: The TAS-20 is a psychometrically validated instrument for assessing alexithymia in adult populations. However, the instrument is not well-established in adolescents. Objective and aims: The objective of this study was to validate the Chinese version of the TAS-20 (TAS-20-C). Two studies aimed to produce a short form of the TAS-20-C and evaluate its subsequent factor structure in a sample of Chinese adolescents across different grade levels using confirmatory factor analysis (CFA). Methods: The Mandarin version of the TAS-20-C was modified with respect to the local colloquial and was tested in two separate samples of Chinese adolescents. In Study 1 (n=500), Rasch modelling and principal component analysis (PCA) were performed to generate a short form of the TAS-20-C and to assess the psychometric properties of the scale. In Study 2 (n=1294), CFA assessed the fit of the factor structure derived from Study 1. Factorial invariance was also examined across grade levels using multigroup CFA. Results: Results of Rasch analysis showed 9 items of the TAS-20-C retained the concepts of the original scale, resulting in a 9-item short form (TAS-9-C). PCA yielded a one-factor solution (accounting for 38% of the total variance, r>/=0.40). In addition, results of CFA confirmed the one-factor model and its invariance across different grade levels (CFI>/=0.959). Internal consistency was good in the entire sample (alpha=0.83). Conclusions: The TAS-9-C is a reliable and valid instrument for use in adolescents across different grade levels. Future research on the specific role of alexithymia in explaining childhood psychopathology is desirable.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".