Prior Study of Cross-Cultural Validation of McGill Quality-of-Life Questionnaire in Mainland Mandarin Chinese Patients With Cancer
Bibliographic record
Abstract
The validation of McGill quality-of-life questionnaire (MQOLQ) in mainland China, which had already been used in multicultural palliative care background including Hong Kong and Taiwan, remained unknown. Eligible patients completed the translated Chinese version of McGill questionnaires (MQOL-C), which had been examined before the study. Construct validity was preliminarily assessed through exploratory factor analysis extracting 4 factors that construct a new hypothesis model and then the original model was proved to be better confirmed by confirmatory factor analysis. Internal consistency of all the subscales was within 0.582 to 0.917. Furthermore, test-retest reliability ranged from 0.509 to 0.859, which was determined by Spearman rank correlation coefficient. Face validation and feasibility also confirm the good validity of MQOL-C. The MQOL-C has satisfied validation in mainland Chinese patients with cancer, although cultural difference should be considered while using it.
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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 | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".