Some empirical evidence regarding the validity of the Spanish Version of the McGill Pain Questionnaire (MPQ-SV)
Bibliographic record
Abstract
Despite the fact that the McGill Pain Questionnaire (MPQ) is a useful pain assessment tool with widespread acceptance, empirical analyses have questioned its validity because they have not consistently supported the three a priori factors that guided its construction. The Spanish version that has followed the most systematic and rigorous reconstruction process (Lázaro C, Bosch F, Torrubia R, Banos JE. The development of a Spanish Questionnaire for assessing pain: preliminary data concerning reliability and validity. Eur J Psychol Assess, 1994;10:145-151) lacks evidence to support its construct validity. In the present study, the internal structure of the Spanish version of the McGill Pain Questionnaire (Lázaro C, Bosch F, Torrubia R, Banos JE. The development of a Spanish Questionnaire for assessing pain: preliminary data concerning reliability and validity. Eur J Psychol Assess, 1994;10:145-151) was examined in a sample of 202 acute pain patients and 207 chronic pain patients. Confirmatory factor analyses were carried out to compare alternative models postulating different internal structures (one-factor model, the classic three-factor model, and the semantic model inspired by the alternative structure found by Donaldson in 1995 (Donaldson GW. The factorial structure and stability of the McGill Pain Questionnaire in patients experiencing oral mucositis following bone marrow transplantation. Pain 1995;62:101-109)). Results from the LISREL CFA analysis indicated that the semantic model fitted better than the other models. On the other hand, intercorrelations between scales were smaller than the reliability indexes. In relation to concurrent evidence, significant correlations (0.001) were found between each subscale and the criteria measurements of every pain dimension. Only the affective subscale presented discriminant validity. Evidence supports the validity of the affective and sensory subscales but not the evaluative scale.
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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 | 0.053 | 0.193 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".