Does the Perth Alexithymia Questionnaire Offer a Multidimensional Measurement of the Alexithymia Construct?
Bibliographic record
Abstract
The Perth Alexithymia Questionnaire (PAQ) was developed to assess alexithymia as a multidimensional construct consistent with the attention-appraisal model. This study evaluated the hierarchical structure of the PAQ using Goldberg's bass-ackwards method across student and community samples. Results consistently revealed a general alexithymia factor at the highest level of the hierarchy, with limited evidence of stable or distinct dimensions at the lower levels. Although some components, such as externally oriented thinking and positive emotion valence items showed partial differentiation, the overall pattern did not support the proposed five-factor dimensional model, indicating that the PAQ does not provide a reliable multidimensional assessment of the alexithymia construct. While the PAQ was developed to provide a multidimensional profile by incorporating both positive and negative emotion processing, our results indicate that it is best conceptualized and interpreted as measuring a single, unidimensional construct.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".