Rasch analysis of the 10-item Connor-Davidson Resilience Scale among Chinese patients with major depressive disorder

Compared to Classical Test Theory, Rasch analysis could provide more precise and specific estimates for the quality of measures. This study aimed to conduct Rasch analysis to examine the psychometric properties of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) in Chinese patients with major depressive disorder (MDD). The sample was comprised of 136 participants (66.9 % females). Severity of depression was assessed through the Hamilton Depression Rating Scale 17-item and resilience through the CD-RISC-10. Rasch analysis was employed to evaluate unidimensionality, local independence, item fit, reliability, differential item functioning (DIF), ordering of response category and targeting. Rasch analysis confirmed the unidimensionality of the CD-RISC-10. All items demonstrated adequate fit, and all items were locally independent. No evidence of disordered category or threshold of rating scale was observed, indicating reasonable response category setting. There was no significant DIF except for item 1 and item 6 concerning sex. Moreover, all items were well-targeted and patients with moderate levels of resilience were better targeted. The CD-RISC-10 demonstrated acceptable psychometric properties among Chinese patients with MDD, providing more precise estimations for patients with moderate levels of resilience than those with high and low levels.

Authors

Institutions

Publication Details

Journal
Acta Psychologica
Published
2025-11-01
DOI
https://doi.org/10.1016/j.actpsy.2025.105933
Citations
1
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rasch analysis of the 10-item Connor-Davidson Resilience Scale among Chinese patients with major depressive disorder

Kaimin Yao, Jing Zhong, Jingxiao Kuang, Xuejue Huang et al.
1 citations
Acta Psychologica
Resilience and Mental Health
2.31
article

Rasch analysis of the 10-item Connor-Davidson Resilience Scale among Chinese patients with major depressive disorder

Kaimin Yao, Jing Zhong, Jingxiao Kuang, Xuejue Huang, Mingzhi Xu
article en
1 citations

Abstract

Compared to Classical Test Theory, Rasch analysis could provide more precise and specific estimates for the quality of measures. This study aimed to conduct Rasch analysis to examine the psychometric properties of the 10-item Connor-Davidson Resilience Scale (CD-RISC-10) in Chinese patients with major depressive disorder (MDD). The sample was comprised of 136 participants (66.9 % females). Severity of depression was assessed through the Hamilton Depression Rating Scale 17-item and resilience through the CD-RISC-10. Rasch analysis was employed to evaluate unidimensionality, local independence, item fit, reliability, differential item functioning (DIF), ordering of response category and targeting. Rasch analysis confirmed the unidimensionality of the CD-RISC-10. All items demonstrated adequate fit, and all items were locally independent. No evidence of disordered category or threshold of rating scale was observed, indicating reasonable response category setting. There was no significant DIF except for item 1 and item 6 concerning sex. Moreover, all items were well-targeted and patients with moderate levels of resilience were better targeted. The CD-RISC-10 demonstrated acceptable psychometric properties among Chinese patients with MDD, providing more precise estimations for patients with moderate levels of resilience than those with high and low levels.

Acta PsychologicaVol. 261
General Hospital of Guangzhou Military Command (CN), Guangdong Academy of Medical Sciences (CN), Southern Medical University (CN)
Openalex Percentile: Top 9%
Resilience and Mental Health
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.