RC-DARS: Revised Chinese Anhedonia Scale Validation in 788 Psychiatric Outpatients

A psychometric validation dataset for the Revised Chinese version of the Dimensional Anhedonia Rating Scale (RC-DARS). The data was collected from 1,065 first-visit psychiatric outpatients across two study phases and includes scores from the RC-DARS, Self-Rating Depression Scale, Self-Rating Anxiety Scale, Pittsburgh Sleep Quality Index, and the MMPI Suicide Ideation Subscale. The dataset was created by Shanshan Huang and published on figshare in April 2026 under a CC-BY-4.0 license.

Use Cases

• Validate the factor structure of the RC-DARS based on the four-factor domain structure identified in the description.
• Assess convergent validity by correlating RC-DARS scores with depression, anxiety, sleep, and suicide risk measures mentioned in the results.
• Test for measurement invariance across gender groups using the multi-group analysis framework described.
• Compare anhedonia scores between patient subgroups, such as those with severe depressive symptoms versus those below the clinical threshold.

Strengths

• Psychometric properties are robust, with excellent internal consistency (Cronbach’s α = 0.95; McDonald’s ω = 0.96).
• Confirmatory factor analysis demonstrated good model fit (CFI = 0.98, TLI = 0.97, RMSEA = 0.08, SRMR = 0.05).
• Data collection involved a substantial sample of 1,065 first-visit psychiatric outpatients across two phases.
• Scale refinement followed established ISPOR and TRAPD guidelines, incorporating cognitive interviews and back-translation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (37.7 KB), indicating limited scope, likely containing summary statistics or a codebook rather than raw individual-level data.

Provenance

Source

figshare, author Shanshan Huang.

Collection Method

Data was gathered in two sequential phases at a specialized psychiatric hospital using survey instruments.

Freshness

Last updated 2026-04-17 05:20:40; freshness should be verified.

Geography

Likely China, based on the focus on a Chinese-language scale validation in a psychiatric hospital setting.