Validation of the French Version of Conners’ Parent Rating Scale Revised, Short Version: Factorial Structure and Reliability
Bibliographic record
Abstract
OBJECTIVE: Attention-deficit hyperactivity disorder is one of the most frequent neurodevelopmental disorders. Its diagnosis requires reference questionnaires such as the Conners' Parent Rating Scale (CPRS). Presently, in French-speaking countries, a few translations of the revised short CPRS have been put to use without previous formal validation. We sought here for the validation of a French version (Lausanne, Switzerland) of the revised short CPRS regarding construct validity, internal consistency, and item reliability in a sample of French schoolchildren. METHOD: The study involved 795 children and adolescents aged 9 to 19 years from a single school. The factorial structure and item reliability were assessed with a confirmatory factor analysis for ordered categorical variables. The dimension internal consistency was assessed with Guttman's lambda 6 coefficient. RESULTS: The results confirmed the original and strong 3-dimensional factorial structure (Oppositional, Cognitive Problems/Inattention, and Hyperactivity), showed satisfactory item reliability, and indicated a good dimension internal consistency (Guttman's lambda 6 coefficient: 0.87, 0.90, and 0.82, respectively, to the 3 dimensions). CONCLUSIONS: Thus, the Lausanne French version of the revised short CPRS may be considered validated regarding construct validity and item and dimension reliability; it can be now more confidently used in clinical practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".