Validity, reliability, and the factorial structure of bangla version depression, anxiety, and stress scale (DASS-21) among Bangladeshi healthcare professionals
Bibliographic record
Abstract
The objective of this study was to assess the validity, reliability, and factorial structure of the Bengali-translated Depression, Anxiety, and Stress Scale—21 (DASS-21) among Bangladeshi health professionals. This study incorporated the cross-sectional study design, conducted among 312 health professionals from 28 health facilities in 18 districts across Bangladesh. The internal consistency and intraclass correlation coefficient of the DASS-21 was assessed. The confirmatory factor analyses was done to assess the fitness of different structural models of DASS-21. The concurrent validity was estimated by using the PHQ-9 and GAD-7 scales. In total, 258 healthcare professionals (82.7%) out of 312 completed the whole survey questionnaire and were included in the study. The internal consistency of the DASS-21 exhibited satisfactory internal consistency (α = 0.93) and ICC = 0.92). The conventional three-factor model appeared to best fit the Bengali-translated DASS-21 scale. The discriminant validity has been affirmed by strong evidence. The convergent validity of Bengali DASS-21 was confirmed by the PHQ-9 and GAD-7 scales. This study found good validity, reliability, and suitability of the DASS-21 used among the Bangladeshi healthcare professionals. We warrant future research to explore the validity of this tool in other cohorts in Bangladesh.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".