Reliability and Validity of the Chinese Version of the Calgary Depression Scale for Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: The aim of the present study was to determine the reliability and validity of the Chinese version of the Calgary Depression Scale for Schizophrenia (CDSS-C) in schizophrenia patients. METHOD: One hundred and one inpatients from four mental health units who met DSM-IV criteria for schizophrenia were enrolled. The Positive and Negative Syndrome Scale (PANSS), Hamilton Depression Rating Scale (HDRS-24), Simpson-Augus Rating Scale (SAS), and Barnes Acathisia Rating Scale (BARS) were administered by the first rater, whereas the CDSS-C was assessed by a second independent rater. RESULTS: The internal consistency (Cronbach's alpha = 0.80) and the inter-rater reliability (kappa coefficient >0.79) were good. The test-retest reliability was high (r = 0.927). The scale had good construct validity, with statistically significant correlations with the HDRS-24, G6 item (depression) of PANSS, and significant weak correlations with the general psychopathology subscale of PANSS. The CDSS-C showed no correlation with the positive and negative subscale of PANSS, the SAS and the BARS. CONCLUSION: The Chinese version of CDSS is a valid and reliable instrument for the assessment of depression in schizophrenia.
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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 | 0.000 | 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 | 0.000 | 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 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".