The Factor Structure of a Chinese Version of the Geriatric Depression Scale
Bibliographic record
Abstract
OBJECTIVE: This study aimed to examine the factor structure of a Chinese version of the 15-item Geriatric Depression Scale (GDS) with a sample of community dwelling elderly Chinese in Canada. METHOD: The data for this study were obtained from a larger study examining the health and culture of 2,272 older Chinese aged 55 years and above in seven major Canadian cities. Both exploratory factor analysis using the Principal Component Analysis and confirmatory factor analysis were conducted to examine the factor structure of the GDS. RESULTS: The findings in this study indicated a four-factor model: 1) negative mood; 2) positive mood; 3) inferiority and disinterested; 4) uncertainty. The constructs identified were associated with the unique characteristics of older Chinese who are mainly immigrants from other countries. CONCLUSIONS: The findings in this study presented evidence for the applicability of the GDS to older Chinese-Canadians. This instrument would be useful for practitioners to identify potential depression concerns among older adults in this ethnic community.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".