Validation of the French Version of the Auditory Hallucination Rating Scale in a Sample of Hallucinating Patients with Schizophrenia: Validation de la version française de l’échelle d’évaluation des hallucinations auditives dans un échantillon de patients souffrant de schizophrénie et ayant des hallucinations
Bibliographic record
Abstract
Objective: The aim of this study was to validate the French version of the 7-item Auditory Hallucination Rating Scale (AHRS) so as to facilitate fine-grained assessment of auditory hallucinations (AH) in native French-speaking patients with schizophrenia (SZ) in clinical settings and studies. Method: Patients ( N = 66) were diagnosed with SZ according to the Diagnostic and Statistical Manual of Mental Disorders. The French version of the AHRS was developed using a forward–backward translation procedure. Psychometric properties of the French version of the AHRS were tested including (i) construct validity with a confirmatory one-factor analysis, (ii) internal validity with Pearson correlations and Cronbach α coefficients, and (iii) external validity by correlations with the Scale for Assessment of Positive Symptoms (SAPS-H1), the Positive and Negative Syndrome Scale (PANSS-P3; concurrent), the PANSS-Negative subscale and age of subjects (divergent), and inter-rater intraclass correlation coefficients (ICCs). Results: (i) The confirmatory one-factor analysis found a root mean square error of approximation (RMSEA) = 0.00, 90% confidence interval = [0.000 to 0.011], and a comparative fit index = 0.994. (ii) Correlations between AHRS total score and individual items were mostly ≥0.4. Cronbach α coefficient was 0.61. (iii) Correlations with PANSS-P3 and SAPS-H1 were 0.42 and 0.53, respectively. In a subset of participants ( N = 16), ICC values were extremely high and significant for AHRS total and individual item scores (ICCs range 0.899 to 0.996) Conclusion: The French version of the AHRS is a psychometrically acceptable instrument for the evaluation of AH severity in French-speaking patients with SZ.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".