Establishing content validity of the Dimensional Anhedonia Rating Scale
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This study was designed to evaluate content validity of the Dimensional Anhedonia Rating Scale (DARS), a patient-reported outcome measure, in adults with anhedonia in the context of major depressive disorder (MDD). To accomplish this, a conceptual model including the symptoms and impacts of anhedonia in the context of MDD was developed and refined through a targeted literature review, clinician interviews (N = 6), and participant interviews (N = 20). RESULTS: Using the final conceptual model, an item mapping exercise was conducted for the DARS, demonstrating that it provided suitable concept coverage in this population. Cognitive debriefing of the DARS with participants demonstrated that it was generally well understood and clear. CONCLUSIONS: Overall, the study established that the DARS demonstrates content validity in adults with anhedonia in the context of MDD. Other measurement properties of the DARS will be evaluated in planned psychometric analyses.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it