Psychometric Properties of the Emotion Awareness Questionnaire for Children in a French-Speaking Population
Bibliographic record
Abstract
In this study, we investigated the psychometric properties of the French version of the Emotion Awareness Questionnaire (EAQ30; Rieffe et al., 2008). The EAQ30 was administered to 707 French-speaking children aged 8 to 16 years old. The original 6-factor structure was replicated in our data. The internal consistency coefficients of the EAQ30 subscales were satisfactory. We found small significant differences for gender and age. Regarding convergent validity, we found positive correlations between EAQ30 scores and emotional intelligence and negative correlations between EAQ30 scores and alexithymia. There was preliminary evidence of discriminant validity, with EAQ30 scores being weakly related to school performance, and concurrent validity, with EAQ30 scores being negatively related to somatic complaints, depression, and anxiety. Finally, except for 1 dimension, EAQ30 scores were not susceptible to social desirability. Although some weaknesses of the scale remain to be addressed, these findings support the use of the EAQ30 for research and clinical purposes.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".