A cross-sectional study examining the reliability and invariance of the Depression, Anxiety, and Stress Scale–21 (DASS-21) across ten countries/regions

Background The Depression, Anxiety, and Stress Scale-21 (DASS-21) is widely used to assess psychological symptoms among university students. However, its factor structure remains inconsistent, and few studies have employed advanced modeling approaches such as exploratory structural equation modeling (ESEM), particularly in cross-cultural contexts. Objectives The present study evaluated the factor structure of the DASS-21 by comparing five models: unidimensional, oblique three-factor, bifactor, three-factor ESEM, and bifactor ESEM. For the best-fitting model, internal consistency and measurement invariance across cultural, linguistic, and demographic groups were further examined. Methods Using secondary data from an international mental health project, this cross-sectional study analyzed responses from 12,059 university students ( M = 20.37 years, SD = 1.98; age range: 18–34; 36.6% men and 63.4% women) across ten distinct countries/regions: Mainland China, Ghana, Hong Kong, India, Indonesia, Malaysia, Spain, Taiwan, Thailand, and Vietnam. Results The three-factor ESEM model showed the best fit across the ten countries/regions with acceptable fit indices, satisfactory internal consistency (McDonald’s ω > 0.70), and acceptable internal structural validity evidence. Measurement invariance testing supported configural and metric invariance across all ten countries/regions, whereas scalar invariance was not achieved, limiting direct cross-cultural comparisons. This pattern was also observed across the seven language groups. In contrast, scalar invariance was established across age, gender, data collection mode (online versus offline), and pandemic timing (onset versus post-COVID-19), further highlighting potential cultural and linguistic influences on DASS-21 responses. Conclusions These findings support the DASS-21’s robust internal structure and reliability across diverse student populations, while emphasizing caution in cross-cultural comparisons.

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Journal
PeerJ
Published
2026-09-29
DOI
https://doi.org/10.7717/peerj.21745
Primary Topic
COVID-19 and Mental Health
Type
article
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article

A cross-sectional study examining the reliability and invariance of the Depression, Anxiety, and Stress Scale–21 (DASS-21) across ten countries/regions

Mark Damian Griffiths, Iqbal Pramukti, Daniel Kwasi Ahorsu, Shikha Kukreti et al.
PeerJ
COVID-19 and Mental Health
article

A cross-sectional study examining the reliability and invariance of the Depression, Anxiety, and Stress Scale–21 (DASS-21) across ten countries/regions

Mark Damian Griffiths, Iqbal Pramukti, Daniel Kwasi Ahorsu, Shikha Kukreti, Rashmi Gupta, Xiu‐Mei Chen, Wan Ying Gan, I‐Hua Chen, Kamolthip Ruckwongpatr, Cheng-Kuan Lin, Yang Li, Olga Malas, Dang Tran, Chung-Ying Lin, Ji-Kang Chen, Pham le An
article en

Abstract

Background The Depression, Anxiety, and Stress Scale-21 (DASS-21) is widely used to assess psychological symptoms among university students. However, its factor structure remains inconsistent, and few studies have employed advanced modeling approaches such as exploratory structural equation modeling (ESEM), particularly in cross-cultural contexts. Objectives The present study evaluated the factor structure of the DASS-21 by comparing five models: unidimensional, oblique three-factor, bifactor, three-factor ESEM, and bifactor ESEM. For the best-fitting model, internal consistency and measurement invariance across cultural, linguistic, and demographic groups were further examined. Methods Using secondary data from an international mental health project, this cross-sectional study analyzed responses from 12,059 university students ( M = 20.37 years, SD = 1.98; age range: 18–34; 36.6% men and 63.4% women) across ten distinct countries/regions: Mainland China, Ghana, Hong Kong, India, Indonesia, Malaysia, Spain, Taiwan, Thailand, and Vietnam. Results The three-factor ESEM model showed the best fit across the ten countries/regions with acceptable fit indices, satisfactory internal consistency (McDonald’s ω > 0.70), and acceptable internal structural validity evidence. Measurement invariance testing supported configural and metric invariance across all ten countries/regions, whereas scalar invariance was not achieved, limiting direct cross-cultural comparisons. This pattern was also observed across the seven language groups. In contrast, scalar invariance was established across age, gender, data collection mode (online versus offline), and pandemic timing (onset versus post-COVID-19), further highlighting potential cultural and linguistic influences on DASS-21 responses. Conclusions These findings support the DASS-21’s robust internal structure and reliability across diverse student populations, while emphasizing caution in cross-cultural comparisons.

PeerJVol. 14
Universiti Putra Malaysia (MY), National Yang Ming Chiao Tung University (TW), Kaohsiung Medical University (TW), Universitat de Lleida (ES), Indian Institute of Technology Bombay (IN), Chinese University of Hong Kong (HK), Qufu Normal University (CN), University of Medicine and Pharmacy at Ho Chi Minh City (VN), Education University of Hong Kong (HK), Shandong Youth University of Political Science (CN), National Cheng Kung University Hospital (TW), Nottingham Trent University (GB), National Cheng Kung University (TW), Padjadjaran University (ID)
Good health and well-being
Openalex Percentile: Top 7%
COVID-19 and Mental Health
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