Psychometric properties of the Yale-Brown obsessive-compulsive scale, second edition, self-report (Y-BOCS-II-SR)
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Bibliographic record
Abstract
The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) is the gold-standard tool for measuring obsessive compulsive symptom severity. An updated second edition was introduced to address limitations of the original instrument, with both clinician-administered and self-report versions. No published studies have examined the psychometric properties of the self-report version, which is the purpose of the current study. Individuals with a diagnosis of obsessive-compulsive disorder (OCD, N = 67) completed the clinician-administered and self-report Y-BOCS-II, as well as a number of other self-report measures assessing obsessive-compulsive symptoms, depression, and impairment from symptoms in a counterbalanced order. Results suggest an internally consistent measure (α = .90) that has strong convergent validity with measures of OCD symptoms including the clinician-rated Y-BOCS-II, but only moderate correlations with the Obsessive-Compulsive Inventory-Revised. The self-report version also demonstrated fair discriminant validity. A reliable change index of 8 was found for this measure, which was associated with a large effect size following cognitive-behavioral therapy for OCD. Limitations include a predominantly White and female sample. The self-report version of the Y-BOCS-II appears to be a psychometrically reasonable measure for use with individuals with OCD though its ability to discriminate OCD from other disorders characterized by anxiety or depression requires further study. • The 2nd edition of the Yale-Brown Obsessive-Compulsive Scale has a self-report version. • This tool has strong internal consistency. • It also demonstrated strong overlap with the clinician-administered version. • Overlap with measures of depression and other forms of anxiety were moderate. • The Y-BOCS-II-SR appears to be a useful tool for assessing the breadth and severity of OCD symptoms.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 it