Psychometric properties of the Toronto Alexithymia Scale (TAS-20) in Brazil
Bibliographic record
Abstract
Internationally, the most widely used self-report instrument to assess alexithymia (a clinical condition characterized by serious deficits in the cognitive processing of emotions) is the Toronto Alexithymia Scale (TAS-20). Because this measure has been poorly investigated in Brazil and emerging research suggests that TAS-20 scores might vary from one culture to another, we sought to: (1) investigate the psychometric properties of a Brazilian TAS-20; and (2) examine the degree to which Brazilian non-clinical TAS-20 scores differ from the scores of non-clinical samples from other cultures. A sample of 850 non-clinical Brazilian adults were administered a number of questionnaires and performance-based measures via online data collection. Data analyses inspected internal consistency and factor structure of the TAS-20, and tested the association of TAS-20 scores to emotional functioning and psychopathology. In line with previous international research, the Brazilian TAS-20 showed acceptable to adequate psychometric properties. Furthermore, TAS-20 scores associated negatively with empathy and emotional perception, and positively with emotion dysregulation and personality traits like dependency, abrupt changes in mood, and avoidance of criticism. Also noteworthy, our non-clinical Brazilian TAS-20 scores were very similar to those observed in other previously published non-clinical TAS-20 scores from seven non-Brazilian cultures.
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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 | 0.000 |
| 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) | 0.000 | 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".