Second-Order Factor Structure of the Vancouver Obsessive Compulsive Inventory (VOCI) in a Non-Clinical Sample
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Bibliographic record
Abstract
BACKGROUND: The Vancouver Obsessive Compulsive Inventory (VOCI) is a self-report measure of the severity of obsessive-compulsive problems such as contamination, checking, obsessions, hoarding, needing things to be just right, and indecisiveness. In the seminal paper a six-correlated-factor structure was found in a sample of OC patients, but the issue of the factor structure of the VOCI in non-clinical populations was not addressed. AIM: This study assesses the psychometric properties and the factor structure of the Italian version of the VOCI in a non-clinical sample. METHOD: The VOCI was administered to a large community sample (n = 445). Some participants also completed a battery including measures of OC behaviour, worry, anxiety and depression (n = 89) and were administered the VOCI twice at an 8-week interval (n = 46). RESULTS: Confirmatory factor analyses replicated the six-correlated-factor structure originally found in a patient sample, but a more parsimonious, second-order-factor model showed a statistically higher fit, suggesting that VOCI subscales can be considered as facets of a higher-order OCD factor. The whole item pool and each of the subscales showed good internal consistency, unidimensionality, test-retest reliability and convergent construct validity. As in the original version, limited support for discriminant validity was found. Scores were weakly associated with age, gender and education. CONCLUSIONS: Although some key issues still need to be investigated (e.g. sensitivity to change), the VOCI seems to be a psychometrically sound instrument for the assessment of OCD-related behaviours and thoughts and can be used in cultural contexts different from the original.
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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 | 0.000 | 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) | 0.010 | 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