Child and Adolescent OCD Symptom Patterns: A Factor Analytic Study
Bibliographic record
Abstract
Objectives: To investigate OCD symptom structure<br/>in children and adolescents in order to identify OCD<br/>subtypes.<br/>A few studies have tried to identify symptom based<br/>subtypes of OCD in Children and Adolescents, and<br/>found it to contain 4-5 factors. There are several<br/>reasons for the different number of factors found<br/>such as different methods and limited sample sizes.<br/>Therefore, this study based on a large sample will be<br/>a valuable addition to the previous studies.<br/>Methods: Exploratory factor analysis will be applied<br/>to the Children’s Yale-Brown Obsessive-Compulsive<br/>Scale (CY-BOCS) symptom checklist items in order<br/>to reveal any latent factor structure. The relation<br/>between specific factors and co-morbid disorders will<br/>be examined. Data for 696 children and adolescents<br/>with OCD is already collected and the final sample is<br/>expected to be around 850 subjects, collected from<br/>24 different research units in Europe and USA. This<br/>study is a part of the Nordic Long-Term OCD<br/>Treatment Study (NordLOTS).<br/>Results: Work in progress. Preliminary results will be<br/>available at the time of presentation.<br/>Discussion: Our study is unique in that it includes<br/>individual CY-BOCS checklist items and it is thus<br/>possible that our results will refine or go beyond the<br/>“classical” factors in the original publication. The<br/>importance of our findings for studies on OCD<br/>genetics and pathogenesis of symptoms will be<br/>discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".