Évaluation des propriétés psychométriques de l’échelle abrégée de Kessler (K6) parmi les adolescents québécois
Bibliographic record
Abstract
Objectives The purpose of this study was to examine the unidimensional structure and psychometric qualities of the short version of the Kessler Psychological Distress Scale (K6) in adolescents living in Quebec. Method Data analyzed were obtained from the 2013-2014 Canadian Community Health Survey and included data from 1618 adolescents. The internal structure of the K6 and invariance by gender and age were tested using confirmatory factor analyses. Convergent and divergent validity of the K6 were also assessed. Finally, Receiver Operating Characteristic (ROC) analyses were performed to determine the predictive power of the K6 in predicting the presence of a major depressive episode. Results The analyses suggest the presence of a unidimensional structure in the Quebec adolescent sample, as well as in the studied subgroups. The invariance of the measure is observed for the age subgroups but cannot be established with certainty for the gender analyses. The results support the convergent and divergent validity of the K6 with adolescents, whereas the alpha and omega values of the K6 indicate that its internal consistency ranges from questionable to acceptable for all respondents and subgroups. The results of the ROC curves reveal that the 4/5 cut-off point best predicts the presence of a major depressive episode among all participants and subgroups. Conclusion Although the K6 has several advantages, the internal consistency and invariance by gender results warrant caution regarding its use to identify the level of psychological distress of Quebec adolescents.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".