Translation and adaptation of the Indoor Environmental Quality questionnaire to Brazilian Portuguese
Bibliographic record
Abstract
Introduction: Indoor environmental quality (IEQ) impacts well-being, performance, and mental and physical health.A questionnaire for assessing occupants' perception of IEQ was developed in English.This study aimed to translate this instrument into Brazilian Portuguese and adapt it to the Brazilian population. Methods:The translation and adaptation process consisted of forward translation, reconciliation, back translation, back translation review, harmonization, two cognitive debriefings, and finalization. Results:The final translated version included new questions and changed the scale to a visual-analog format.The clarity assessment showed that, after cognitive debriefings, all questions displayed satisfactory scores, with the majority rated higher than 9 on a 0-10 scale. Conclusions:The Brazilian Portuguese version of the IEQ questionnaire is a simple tool that can be employed in biomedical and building research to investigate the association of perceived IEQ with health-related parameters, as well as in architecture, engineering, and management projects.As a next step, a psychometric validation of the instrument will be performed.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".