Measurement Invariance of the GAD-7 and CESD-R-10 Among Adolescents in Canada
Bibliographic record
Abstract
OBJECTIVE: The primary objective of our study was to assess measurement invariance (by grade and sex) of the 7-item Generalized Anxiety Disorder (GAD-7) and 10-item Center for Epidemiologic Studies Depression Revised (CESD-R-10) scales in a sample of adolescents in Canada. If measurement invariance was demonstrated, our secondary objective was to estimate differences in scale scores across these subgroups. METHODS: We used data from 59,052 adolescents in Year 7 (2018-19) of the COMPASS school-based study. Measurement invariance was tested within a multigroup confirmatory factor analysis framework. Differences in scale scores were estimated using mixed linear regression which accounted for school-level clustering and adjusted for relevant confounders. RESULTS: Both the GAD-7 and CESD-R-10 demonstrated strict measurement invariance by sex and grade in our sample. Mean scale scores were higher among adolescents in grade 12 compared to grade 9 (βGAD-7 = 0.91, p < .001; βCESD-R-10 = 0.99, p < .001) and among female adolescents compared to males (βGAD-7 = 3.36, p < .001; βCESD-R-10 = 2.58, p < .001). CONCLUSIONS: Findings support the validity of the GAD-7 and CESD-R-10 for screening risk of generalized anxiety and depression among Canadian adolescents, and further indicate that differences observed in scale scores across subgroups reflect actual differences in risk for generalized anxiety and major depression, respectively.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".