RC-DARS: Revised Chinese Anhedonia Scale Validation Data for Psychiatric Outpatients

Shanshan Huang published a supplementary file on figshare in 2026 detailing the psychometric validation of the Revised Chinese version of the Dimensional Anhedonia Rating Scale (RC-DARS). The study involved 1,065 first-visit psychiatric outpatients across two phases, including refinement and validation with measures for depression, anxiety, sleep, and suicide risk. The file reports statistical analyses confirming the scale's four-factor structure, internal consistency, and convergent validity.

Use Cases

• Validate the factor structure of anhedonia scales based on the reported exploratory and confirmatory factor analyses.
• Assess the relationship between anhedonia and comorbid symptoms like depression and anxiety based on the reported correlation coefficients.
• Examine measurement invariance across gender groups based on the multi-group analyses described.
• Review the semantic and cultural refinement process for clinical scales based on the ISPOR and TRAPD guidelines mentioned.

Strengths

• Validation sample includes 1,065 participants (277 in Phase I, 788 in Phase II).
• Reports excellent internal consistency (Cronbach’s α = 0.95; McDonald’s ω = 0.96).
• Demonstrates good model fit for the domain-based structure (CFI = 0.98, TLI = 0.97, RMSEA = 0.08).
• Provides specific correlation coefficients with established scales like SDS, SAS, PSQI, and MMPI-SI.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is a 116.8 KB DOCX file, indicating a limited scope focused on supplementary documentation rather than raw participant data.

Provenance

Source

Shanshan Huang via figshare

Collection Method

Data collected in two sequential phases at a specialized psychiatric hospital, involving semantic refinement, cognitive interviews, and survey administration.

Freshness

Last updated 2026-04-17 05:20:41; freshness should be verified.

Geography

Likely China, based on the focus on a Chinese version of the scale and a sample of Chinese psychiatric outpatients.