Validating the Beck Depression Inventory-II for Hong Kong Community Adolescents
Why this work is in the frame
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Bibliographic record
Abstract
The primary purpose of this study was to test for the validity of a Chinese version of the Beck Depression Inventory-II (C-BDI-II) for use with Hong Kong community (i.e., nonclinical) adolescents. Based on a randomized triadic split of the data (N = 1460), we conducted exploratory factor analysis on Group1 (n = 486) and confirmatory factor analysis (CFA) within the framework of structural equation modeling on Groups 2 (n = 487) and 3 (n = 487); the second CFA served as a cross-validation of the determined factor structure. Factor analytic results, based on a 4-factor structure that comprised 1 2nd-order general factor of Depression and 3 1st-order factors representing Negative Attitude, Performance Difficulty, and Somatic Elements, replicated those reported previously for Canadian (Byrne&Baron, 1993), Swedish (Byrne, Baron, Larsson,&Melin, 1995), and Bulgarian (Byrne, Baron,&Balev, 1998) nonclinical adolescents. Based on this cross-validated factor structure, findings related to internal consistency reliability, stability over a 6-month time lag, and relations with relevant external criteria provided strong support for the valid use of the C-BDI-II in measuring depressive symptoms for Hong Kong community adolescents. </br>[Copyright of International Journal of Testing is the property of Lawrence Erlbaum Associates. Full article may be available at the publisher's website: </br>http://dx.doi.org/10.1207/s15327574ijt0403_1]
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it